diff --git "a/PL9fwy3NUQKwahRS6qf_vAWax6GJKgwdSL/FuO5JydpSNs_raw.json" "b/PL9fwy3NUQKwahRS6qf_vAWax6GJKgwdSL/FuO5JydpSNs_raw.json" new file mode 100644--- /dev/null +++ "b/PL9fwy3NUQKwahRS6qf_vAWax6GJKgwdSL/FuO5JydpSNs_raw.json" @@ -0,0 +1 @@ +{"segments": [{"id": 1, "seek": 5035, "start": 21.43, "end": 50.35, "text": " Okay, good morning. Now we will go on with chapter number seven which talks about the recruitment in the field of sales companies. Today we will go on with the selection process. 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In other words, this person is awakened and considers all the details involved in the purchasing process.", "tokens": [9653, 19526, 4090, 11, 1230, 472, 11, 341, 954, 1633, 312, 12682, 281, 264, 5474, 13, 5118, 732, 11, 341, 954, 1633, 362, 257, 25069, 281, 8602, 264, 4601, 295, 702, 420, 720, 4581, 13, 5118, 1045, 11, 341, 954, 1633, 312, 2607, 12, 27414, 13, 682, 661, 2283, 11, 341, 954, 307, 46468, 293, 33095, 439, 264, 4365, 3288, 294, 264, 20906, 1399, 13], "avg_logprob": -0.16157670454545456, "compression_ratio": 1.7210526315789474, "no_speech_prob": 0.0, "words": [{"start": 232.55, "end": 232.95, "word": " Such", "probability": 0.6787109375}, {"start": 232.95, "end": 233.41, "word": " traits", "probability": 0.84130859375}, {"start": 233.41, "end": 234.07, "word": " include,", "probability": 0.783203125}, {"start": 234.31, "end": 234.53, "word": " number", "probability": 0.5478515625}, {"start": 234.53, "end": 234.93, "word": " one,", "probability": 0.72119140625}, {"start": 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So all these are some of the examples or the traits which should be available in the character of the candidates who are applying for sales positions, sales vacancies.", "tokens": [440, 2572, 22538, 341, 954, 1633, 312, 1075, 281, 1524, 807, 1065, 16403, 11, 294, 661, 2283, 11, 281, 312, 17808, 11, 281, 312, 257, 1349, 38709, 420, 257, 6228, 38709, 13, 407, 439, 613, 366, 512, 295, 264, 5110, 420, 264, 19526, 597, 820, 312, 2435, 294, 264, 2517, 295, 264, 11255, 567, 366, 9275, 337, 5763, 8432, 11, 5763, 2842, 32286, 13], "avg_logprob": -0.17548076923076922, "compression_ratio": 1.6354166666666667, "no_speech_prob": 0.0, "words": [{"start": 262.93, "end": 263.19, "word": " The", "probability": 0.73876953125}, {"start": 263.19, "end": 263.61, "word": " final", "probability": 0.92919921875}, {"start": 263.61, "end": 264.01, "word": " trait", "probability": 0.875}, {"start": 264.01, "end": 264.39, "word": " this", "probability": 0.87841796875}, {"start": 264.39, "end": 264.83, "word": " 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Now to demonstrate this more or to clarify it more, look at these statistics. Now these are some of the answers or responses which we took from purchasing agents regarding the traits which they are looking for in the characters of the candidates.", "tokens": [2639, 1651, 420, 3053, 466, 341, 30, 823, 281, 11698, 341, 544, 420, 281, 17594, 309, 544, 11, 574, 412, 613, 12523, 13, 823, 613, 366, 512, 295, 264, 6338, 420, 13019, 597, 321, 1890, 490, 20906, 12554, 8595, 264, 19526, 597, 436, 366, 1237, 337, 294, 264, 4342, 295, 264, 11255, 13], "avg_logprob": -0.20240162395768696, "compression_ratio": 1.601123595505618, "no_speech_prob": 0.0, "words": [{"start": 291.31, "end": 291.61, "word": " Any", "probability": 0.54296875}, {"start": 291.61, "end": 291.97, "word": " questions", "probability": 0.64111328125}, {"start": 291.97, "end": 292.13, "word": " or", "probability": 0.55615234375}, {"start": 292.13, "end": 292.39, "word": " comments", "probability": 0.8525390625}, {"start": 292.39, "end": 292.63, "word": " about", "probability": 0.83056640625}, {"start": 292.63, "end": 292.91, "word": " this?", "probability": 0.90185546875}, {"start": 293.61, "end": 293.85, "word": " Now", "probability": 0.65673828125}, {"start": 293.85, "end": 294.05, "word": " to", "probability": 0.6201171875}, {"start": 294.05, "end": 294.41, "word": " demonstrate", "probability": 0.720703125}, {"start": 294.41, "end": 294.79, "word": " this", "probability": 0.89013671875}, {"start": 294.79, "end": 295.21, "word": " more", "probability": 0.89501953125}, {"start": 295.21, "end": 295.95, "word": " or", "probability": 0.71728515625}, {"start": 295.95, "end": 296.11, "word": " to", "probability": 0.96337890625}, {"start": 296.11, "end": 296.49, "word": " clarify", "probability": 0.94580078125}, {"start": 296.49, "end": 296.77, "word": " it", "probability": 0.884765625}, {"start": 296.77, "end": 297.05, "word": " more,", "probability": 0.9150390625}, {"start": 297.17, "end": 297.29, "word": " look", "probability": 0.93359375}, {"start": 297.29, "end": 297.41, "word": " at", "probability": 0.96826171875}, {"start": 297.41, "end": 297.59, "word": " these", "probability": 0.59228515625}, {"start": 297.59, "end": 298.13, "word": " statistics.", "probability": 0.927734375}, {"start": 300.05, "end": 300.37, "word": " Now", "probability": 0.701171875}, {"start": 300.37, "end": 300.69, "word": " these", "probability": 0.68994140625}, {"start": 300.69, "end": 301.09, "word": " are", "probability": 0.9345703125}, {"start": 301.09, "end": 301.95, "word": " some", "probability": 0.8828125}, {"start": 301.95, "end": 302.09, "word": " of", "probability": 0.96142578125}, {"start": 302.09, "end": 302.21, "word": " the", "probability": 0.91943359375}, {"start": 302.21, "end": 302.53, "word": " answers", "probability": 0.89794921875}, {"start": 302.53, "end": 302.73, "word": " or", "probability": 0.92236328125}, {"start": 302.73, "end": 303.15, "word": " responses", "probability": 0.9208984375}, {"start": 303.15, "end": 303.53, "word": " which", "probability": 0.81787109375}, {"start": 303.53, "end": 303.73, "word": " we", "probability": 0.95361328125}, {"start": 303.73, "end": 304.07, "word": " took", "probability": 0.329345703125}, {"start": 304.07, "end": 305.25, "word": " from", "probability": 0.87158203125}, {"start": 305.25, "end": 305.69, "word": " purchasing", "probability": 0.8876953125}, {"start": 305.69, "end": 306.25, "word": " agents", "probability": 0.900390625}, {"start": 306.25, "end": 307.11, "word": " regarding", "probability": 0.8427734375}, {"start": 307.11, "end": 307.37, "word": " the", "probability": 0.89013671875}, {"start": 307.37, "end": 307.65, "word": " traits", "probability": 0.82373046875}, {"start": 307.65, "end": 307.89, "word": " which", "probability": 0.8818359375}, {"start": 307.89, "end": 308.01, "word": " they", "probability": 0.76953125}, {"start": 308.01, "end": 308.13, "word": " are", "probability": 0.83935546875}, {"start": 308.13, "end": 308.49, "word": " looking", "probability": 0.90478515625}, {"start": 308.49, "end": 309.97, "word": " for", "probability": 0.93017578125}, {"start": 309.97, "end": 310.55, "word": " in", "probability": 0.89404296875}, {"start": 310.55, "end": 310.67, "word": " the", "probability": 0.91552734375}, {"start": 310.67, "end": 311.01, "word": " characters", "probability": 0.82666015625}, {"start": 311.01, "end": 311.35, "word": " of", "probability": 0.9658203125}, {"start": 311.35, "end": 311.49, "word": " the", "probability": 0.83740234375}, {"start": 311.49, "end": 311.85, "word": " candidates.", "probability": 0.890625}], "temperature": 1.0}, {"id": 12, "seek": 33734, "start": 312.76, "end": 337.34, "text": " More than about 75% they gave trait number one which is the candidate should have a willingness to fight for the customer's right with more than 75% responses. 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So the most important trait is willingness to fight and to defend the rights of the customers. And the latest one is imagination. Okay, let's go on. Listen here. 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One out of two strategies. First, to hire technicians and later on we are going to teach them how to sell. Is this a strategy? This is strategy number one. Which is to hire technicians and later on we will teach them how to sell. 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It was the last factor. Now, legality of job qualification. This is an umbrella and this umbrella is founded on one backbone which is number one academic qualification", "tokens": [29308, 257, 1399, 295, 28240, 13, 467, 390, 264, 1036, 5952, 13, 823, 11, 1676, 1860, 295, 1691, 37425, 13, 639, 307, 364, 21925, 293, 341, 21925, 307, 13234, 322, 472, 34889, 597, 307, 1230, 472, 7778, 37425], "avg_logprob": -0.3183092857018495, "compression_ratio": 1.4097222222222223, "no_speech_prob": 0.0, "words": [{"start": 570.93, "end": 571.17, "word": " Planning", "probability": 0.357666015625}, {"start": 571.17, "end": 571.43, "word": " a", "probability": 0.2381591796875}, {"start": 571.43, "end": 572.59, "word": " process", "probability": 0.91552734375}, {"start": 572.59, "end": 572.75, "word": " of", "probability": 0.7392578125}, {"start": 572.75, "end": 573.29, "word": " recruitment.", "probability": 0.8662109375}, {"start": 573.99, "end": 574.09, "word": " It", "probability": 0.677734375}, {"start": 574.09, "end": 574.25, "word": " was", "probability": 0.94873046875}, {"start": 574.25, "end": 574.45, "word": " the", "probability": 0.91259765625}, {"start": 574.45, "end": 575.31, "word": " last", "probability": 0.8857421875}, {"start": 575.31, "end": 576.61, "word": " factor.", "probability": 0.83251953125}, {"start": 580.55, "end": 581.23, "word": " Now,", "probability": 0.71044921875}, {"start": 582.15, "end": 583.67, "word": " legality", "probability": 0.7296142578125}, {"start": 583.67, "end": 583.85, "word": " of", "probability": 0.97021484375}, {"start": 583.85, "end": 584.01, "word": " job", "probability": 0.87060546875}, {"start": 584.01, "end": 584.71, "word": " qualification.", "probability": 0.89599609375}, {"start": 585.65, "end": 585.97, "word": " This", "probability": 0.8505859375}, {"start": 585.97, "end": 586.13, "word": " is", "probability": 0.9521484375}, {"start": 586.13, "end": 586.37, "word": " an", "probability": 0.9453125}, {"start": 586.37, "end": 586.85, "word": " umbrella", "probability": 0.900390625}, {"start": 586.85, "end": 589.29, "word": " and", "probability": 0.26318359375}, {"start": 589.29, "end": 589.53, "word": " this", "probability": 0.734375}, {"start": 589.53, "end": 590.05, "word": " umbrella", "probability": 0.90625}, {"start": 590.05, "end": 590.37, "word": " is", "probability": 0.572265625}, {"start": 590.37, "end": 590.85, "word": " founded", "probability": 0.8916015625}, {"start": 590.85, "end": 591.15, "word": " on", "probability": 0.90478515625}, {"start": 591.15, "end": 591.37, "word": " one", "probability": 0.90673828125}, {"start": 591.37, "end": 591.75, "word": " backbone", "probability": 0.9853515625}, {"start": 591.75, "end": 592.03, "word": " which", "probability": 0.64794921875}, {"start": 592.03, "end": 592.37, "word": " is", "probability": 0.9443359375}, {"start": 592.37, "end": 592.67, "word": " number", "probability": 0.72509765625}, {"start": 592.67, "end": 593.07, "word": " one", "probability": 0.78369140625}, {"start": 593.07, "end": 594.21, "word": " academic", "probability": 0.425537109375}, {"start": 594.21, "end": 595.07, "word": " qualification", "probability": 0.9794921875}], "temperature": 1.0}, {"id": 23, "seek": 62978, "start": 601.44, "end": 629.78, "text": " And number two, professional experience. And listen here, sometimes as HR you might fell in a trap. What is this trap? You are going to encounter candidates who are equal in point number one and in point number two. And both of them are legality of job qualification.", "tokens": [400, 1230, 732, 11, 4843, 1752, 13, 400, 2140, 510, 11, 2171, 382, 19460, 291, 1062, 5696, 294, 257, 11487, 13, 708, 307, 341, 11487, 30, 509, 366, 516, 281, 8593, 11255, 567, 366, 2681, 294, 935, 1230, 472, 293, 294, 935, 1230, 732, 13, 400, 1293, 295, 552, 366, 1676, 1860, 295, 1691, 37425, 13], "avg_logprob": -0.24821821011995016, "compression_ratio": 1.5056179775280898, "no_speech_prob": 0.0, "words": [{"start": 601.44, "end": 601.64, "word": " And", "probability": 0.1986083984375}, {"start": 601.64, "end": 601.88, "word": " number", "probability": 0.767578125}, {"start": 601.88, "end": 602.22, "word": " two,", "probability": 0.69287109375}, {"start": 603.2, "end": 603.7, "word": " professional", "probability": 0.8154296875}, {"start": 603.7, "end": 604.42, "word": " experience.", "probability": 0.9248046875}, {"start": 608.8, "end": 608.96, "word": " And", "probability": 0.499755859375}, {"start": 608.96, "end": 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{"start": 627.08, "end": 628.08, "word": " legality", "probability": 0.71142578125}, {"start": 628.08, "end": 628.48, "word": " of", "probability": 0.91796875}, {"start": 628.48, "end": 629.32, "word": " job", "probability": 0.86279296875}, {"start": 629.32, "end": 629.78, "word": " qualification.", "probability": 0.671875}], "temperature": 1.0}, {"id": 24, "seek": 66062, "start": 631.48, "end": 660.62, "text": " some of the most common mistakes might happen based on one word which is called discrimination which is called discrimination these mistakes which might happen as a result of discrimination might be founded on one out of these three reasons number one age number two sex and number three ethnicity", "tokens": [512, 295, 264, 881, 2689, 8038, 1062, 1051, 2361, 322, 472, 1349, 597, 307, 1219, 15973, 597, 307, 1219, 15973, 613, 8038, 597, 1062, 1051, 382, 257, 1874, 295, 15973, 1062, 312, 13234, 322, 472, 484, 295, 613, 1045, 4112, 1230, 472, 3205, 1230, 732, 3260, 293, 1230, 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The discrimination might be founded on the age because of the fallout.", "tokens": [823, 11, 718, 311, 17594, 341, 13, 440, 15973, 1062, 312, 13234, 322, 264, 3205, 570, 295, 264, 2100, 346, 13], "avg_logprob": -0.3382457427003167, "compression_ratio": 1.0909090909090908, "no_speech_prob": 0.0, "words": [{"start": 670.8499999999999, "end": 671.4499999999999, "word": " Now,", "probability": 0.325927734375}, {"start": 671.4499999999999, "end": 672.05, "word": " let's", "probability": 0.836181640625}, {"start": 672.05, "end": 672.63, "word": " clarify", "probability": 0.92333984375}, {"start": 672.63, "end": 673.11, "word": " this.", "probability": 0.91650390625}, {"start": 674.07, "end": 674.27, "word": " The", "probability": 0.81201171875}, {"start": 674.27, "end": 674.65, "word": " discrimination", "probability": 0.9033203125}, {"start": 674.65, "end": 675.01, "word": " might", "probability": 0.857421875}, {"start": 675.01, "end": 675.13, "word": " be", "probability": 0.93310546875}, {"start": 675.13, "end": 675.43, "word": " founded", "probability": 0.70751953125}, {"start": 675.43, "end": 675.61, "word": " on", "probability": 0.892578125}, {"start": 675.61, "end": 675.77, "word": " the", "probability": 0.693359375}, {"start": 675.77, "end": 675.95, "word": " age", "probability": 0.923828125}, {"start": 675.95, "end": 676.21, "word": " because", "probability": 0.84765625}, {"start": 676.21, "end": 676.33, "word": " of", "probability": 0.966796875}, {"start": 676.33, "end": 676.45, "word": " the", "probability": 0.90576171875}, {"start": 676.45, "end": 676.71, "word": " fallout.", "probability": 0.488983154296875}], "temperature": 1.0}, {"id": 26, "seek": 69790, "start": 678.14, "end": 697.9, "text": " Imagine two candidates, one of them his age is about 40, the second one his age is about 30. Both of them they are equal in their academic qualification and professional experience. Many of the employers they are going to employ or hire the young candidate. Whose age is? 10. Why?", "tokens": [11739, 732, 11255, 11, 472, 295, 552, 702, 3205, 307, 466, 3356, 11, 264, 1150, 472, 702, 3205, 307, 466, 2217, 13, 6767, 295, 552, 436, 366, 2681, 294, 641, 7778, 37425, 293, 4843, 1752, 13, 5126, 295, 264, 16744, 436, 366, 516, 281, 3188, 420, 11158, 264, 2037, 11532, 13, 28463, 3205, 307, 30, 1266, 13, 1545, 30], "avg_logprob": -0.21783854191501936, "compression_ratio": 1.5875706214689265, "no_speech_prob": 0.0, "words": [{"start": 678.1400000000001, "end": 678.7, "word": " Imagine", "probability": 0.70458984375}, {"start": 678.7, "end": 679.26, "word": " two", "probability": 0.787109375}, {"start": 679.26, "end": 679.82, "word": " candidates,", "probability": 0.90966796875}, {"start": 680.14, "end": 680.38, "word": " one", "probability": 0.92236328125}, {"start": 680.38, "end": 680.56, "word": " of", "probability": 0.9384765625}, {"start": 680.56, "end": 680.78, "word": " them", "probability": 0.88427734375}, {"start": 680.78, "end": 681.26, "word": " his", "probability": 0.70654296875}, {"start": 681.26, "end": 681.56, "word": " age", "probability": 0.9501953125}, {"start": 681.56, "end": 681.72, "word": " is", "probability": 0.94384765625}, {"start": 681.72, "end": 682.02, "word": " about", "probability": 0.89111328125}, {"start": 682.02, "end": 682.46, "word": " 40,", "probability": 0.85400390625}, {"start": 682.9, "end": 683.14, "word": " the", "probability": 0.80322265625}, {"start": 683.14, "end": 683.42, "word": " second", "probability": 0.8466796875}, {"start": 683.42, "end": 683.7, "word": " one", "probability": 0.90185546875}, {"start": 683.7, "end": 683.86, "word": " his", "probability": 0.765625}, {"start": 683.86, "end": 684.06, "word": " age", "probability": 0.93896484375}, {"start": 684.06, "end": 684.2, "word": " is", "probability": 0.9423828125}, {"start": 684.2, "end": 684.44, "word": " about", "probability": 0.8994140625}, {"start": 684.44, "end": 684.88, "word": " 30.", "probability": 0.97265625}, {"start": 685.42, "end": 685.7, "word": " Both", "probability": 0.771484375}, {"start": 685.7, "end": 685.86, "word": " of", "probability": 0.966796875}, {"start": 685.86, "end": 686.02, "word": " them", "probability": 0.89306640625}, {"start": 686.02, "end": 686.16, "word": " they", "probability": 0.428955078125}, {"start": 686.16, "end": 686.3, "word": " are", "probability": 0.93408203125}, {"start": 686.3, "end": 686.56, "word": " equal", "probability": 0.88427734375}, {"start": 686.56, "end": 686.74, "word": " in", "probability": 0.9267578125}, {"start": 686.74, "end": 686.84, "word": " their", "probability": 0.50634765625}, {"start": 686.84, "end": 687.06, "word": " academic", "probability": 0.9267578125}, {"start": 687.06, "end": 687.62, "word": " qualification", "probability": 0.9462890625}, {"start": 687.62, "end": 688.78, "word": " and", "probability": 0.92041015625}, {"start": 688.78, "end": 689.38, "word": " professional", "probability": 0.88720703125}, {"start": 689.38, "end": 689.98, "word": " experience.", "probability": 0.9033203125}, {"start": 690.7, "end": 691.02, "word": " Many", "probability": 0.85791015625}, {"start": 691.02, "end": 691.18, "word": " of", "probability": 0.958984375}, {"start": 691.18, "end": 691.3, "word": " the", "probability": 0.728515625}, {"start": 691.3, "end": 691.62, "word": " employers", "probability": 0.93798828125}, {"start": 691.62, "end": 691.88, "word": " they", "probability": 0.5087890625}, {"start": 691.88, "end": 692.06, "word": " are", "probability": 0.93359375}, {"start": 692.06, "end": 692.38, "word": " going", "probability": 0.9482421875}, {"start": 692.38, "end": 692.76, "word": " to", "probability": 0.97265625}, {"start": 692.76, "end": 693.86, "word": " employ", "probability": 0.8486328125}, {"start": 693.86, "end": 694.12, "word": " or", "probability": 0.95458984375}, {"start": 694.12, "end": 694.44, "word": " hire", "probability": 0.94580078125}, {"start": 694.44, "end": 694.74, "word": " the", "probability": 0.880859375}, {"start": 694.74, "end": 694.96, "word": " young", "probability": 0.9228515625}, {"start": 694.96, "end": 695.74, "word": " candidate.", "probability": 0.77001953125}, {"start": 696.02, "end": 696.22, "word": " Whose", "probability": 0.7587890625}, {"start": 696.22, "end": 696.48, "word": " age", "probability": 0.93359375}, {"start": 696.48, "end": 696.88, "word": " is?", "probability": 0.927734375}, {"start": 697.02, "end": 697.26, "word": " 10.", "probability": 0.394287109375}, {"start": 697.58, "end": 697.9, "word": " Why?", "probability": 0.85302734375}], "temperature": 1.0}, {"id": 27, "seek": 71660, "start": 699.64, "end": 716.6, "text": " He is going to be more active, more vital, and he is going to carry more pressure and workload than the candidate whose age is 40. Is this discrimination? Yes, it is discrimination. A second employment might be founded or biased according to what this says.", "tokens": [634, 307, 516, 281, 312, 544, 4967, 11, 544, 11707, 11, 293, 415, 307, 516, 281, 3985, 544, 3321, 293, 20139, 813, 264, 11532, 6104, 3205, 307, 3356, 13, 1119, 341, 15973, 30, 1079, 11, 309, 307, 15973, 13, 316, 1150, 11949, 1062, 312, 13234, 420, 28035, 4650, 281, 437, 341, 1619, 13], "avg_logprob": -0.21440972884496054, "compression_ratio": 1.5266272189349113, "no_speech_prob": 0.0, "words": [{"start": 699.64, "end": 699.86, "word": " He", "probability": 0.411865234375}, {"start": 699.86, "end": 700.04, "word": " is", "probability": 0.7861328125}, {"start": 700.04, "end": 700.2, "word": " going", "probability": 0.90869140625}, {"start": 700.2, "end": 700.32, "word": " to", "probability": 0.9697265625}, {"start": 700.32, "end": 700.42, "word": " be", "probability": 0.9482421875}, {"start": 700.42, "end": 700.6, "word": " more", "probability": 0.904296875}, {"start": 700.6, "end": 700.96, "word": " active,", "probability": 0.97216796875}, {"start": 701.52, "end": 701.7, "word": " more", "probability": 0.880859375}, {"start": 701.7, "end": 702.1, "word": " vital,", "probability": 0.9677734375}, {"start": 702.64, "end": 702.7, "word": " and", "probability": 0.84765625}, {"start": 702.7, "end": 702.82, "word": " he", "probability": 0.8896484375}, {"start": 702.82, "end": 702.96, "word": " is", "probability": 0.88330078125}, {"start": 702.96, "end": 703.12, "word": " going", "probability": 0.9384765625}, {"start": 703.12, "end": 703.26, "word": " to", "probability": 0.96875}, {"start": 703.26, "end": 703.48, "word": " carry", "probability": 0.9208984375}, {"start": 703.48, "end": 703.7, "word": " more", "probability": 0.91845703125}, {"start": 703.7, "end": 704.42, "word": " pressure", "probability": 0.54931640625}, {"start": 704.42, "end": 705.0, "word": " and", "probability": 0.89404296875}, {"start": 705.0, "end": 705.4, "word": " workload", "probability": 0.97119140625}, {"start": 705.4, "end": 705.88, "word": " than", "probability": 0.92431640625}, {"start": 705.88, "end": 706.62, "word": " the", "probability": 0.8310546875}, {"start": 706.62, "end": 706.92, "word": " candidate", "probability": 0.76123046875}, {"start": 706.92, "end": 707.28, "word": " whose", "probability": 0.65234375}, {"start": 707.28, "end": 707.54, "word": " age", "probability": 0.95263671875}, {"start": 707.54, "end": 707.92, "word": " is", "probability": 0.94677734375}, {"start": 707.92, "end": 708.8, "word": " 40.", "probability": 0.8994140625}, {"start": 709.04, "end": 709.3, "word": " Is", "probability": 0.875}, {"start": 709.3, "end": 709.44, "word": " this", "probability": 0.77783203125}, {"start": 709.44, "end": 709.98, "word": " discrimination?", "probability": 0.927734375}, {"start": 710.18, "end": 710.4, "word": " Yes,", "probability": 0.93994140625}, {"start": 710.52, "end": 710.64, "word": " it", "probability": 0.916015625}, {"start": 710.64, "end": 710.74, "word": " is", "probability": 0.91796875}, {"start": 710.74, "end": 711.24, "word": " discrimination.", "probability": 0.869140625}, {"start": 713.02, "end": 713.18, "word": " A", "probability": 0.697265625}, {"start": 713.18, "end": 713.48, "word": " second", "probability": 0.919921875}, {"start": 713.48, "end": 714.06, "word": " employment", "probability": 0.865234375}, {"start": 714.06, "end": 714.42, "word": " might", "probability": 0.88232421875}, {"start": 714.42, "end": 714.64, "word": " be", "probability": 0.955078125}, {"start": 714.64, "end": 714.98, "word": " founded", "probability": 0.87060546875}, {"start": 714.98, "end": 715.3, "word": " or", "probability": 0.90625}, {"start": 715.3, "end": 715.6, "word": " biased", "probability": 0.9140625}, {"start": 715.6, "end": 716.04, "word": " according", "probability": 0.86767578125}, {"start": 716.04, "end": 716.22, "word": " to", "probability": 0.966796875}, {"start": 716.22, "end": 716.34, "word": " what", "probability": 0.2646484375}, {"start": 716.34, "end": 716.46, "word": " this", "probability": 0.435546875}, {"start": 716.46, "end": 716.6, "word": " says.", "probability": 0.35791015625}], "temperature": 1.0}, {"id": 28, "seek": 74725, "start": 718.01, "end": 747.25, "text": " The female and the male. Employers might say if the male and the female candidates are equal in experiences and academic qualification, they will say we prefer to hire the male. Because this person isn't going to have maternity leave, this person isn't going to suffer from pregnancy consequences and so on. Therefore, he is going to be in his job all the time throughout the 12 months of the year. Is this discrimination? Yes, it is discrimination.", "tokens": [440, 6556, 293, 264, 7133, 13, 26878, 433, 1062, 584, 498, 264, 7133, 293, 264, 6556, 11255, 366, 2681, 294, 5235, 293, 7778, 37425, 11, 436, 486, 584, 321, 4382, 281, 11158, 264, 7133, 13, 1436, 341, 954, 1943, 380, 516, 281, 362, 2389, 28120, 1856, 11, 341, 954, 1943, 380, 516, 281, 9753, 490, 16120, 10098, 293, 370, 322, 13, 7504, 11, 415, 307, 516, 281, 312, 294, 702, 1691, 439, 264, 565, 3710, 264, 2272, 2493, 295, 264, 1064, 13, 1119, 341, 15973, 30, 1079, 11, 309, 307, 15973, 13], "avg_logprob": -0.18061156490797636, "compression_ratio": 1.7857142857142858, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 718.01, "end": 718.25, "word": " The", "probability": 0.51171875}, {"start": 718.25, "end": 718.49, "word": " female", "probability": 0.69384765625}, {"start": 718.49, "end": 718.69, "word": " and", "probability": 0.92822265625}, {"start": 718.69, "end": 718.81, "word": " the", "probability": 0.86083984375}, {"start": 718.81, 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In America, we are talking about three major ethnicities or races. The white, the black, and listen here, if you would like to communicate with Americans, don't use the word black. Use the word African American. African American, it is more polite structure. Don't ever call somebody black.", "tokens": [400, 2171, 15973, 1062, 1051, 382, 257, 1874, 295, 33774, 13, 682, 3374, 11, 321, 366, 1417, 466, 1045, 2563, 14363, 1088, 420, 15484, 13, 440, 2418, 11, 264, 2211, 11, 293, 2140, 510, 11, 498, 291, 576, 411, 281, 7890, 365, 6280, 11, 500, 380, 764, 264, 1349, 2211, 13, 8278, 264, 1349, 7312, 2665, 13, 7312, 2665, 11, 309, 307, 544, 25171, 3877, 13, 1468, 380, 1562, 818, 2618, 2211, 13], "avg_logprob": -0.2103040602964324, "compression_ratio": 1.617117117117117, "no_speech_prob": 0.0, "words": [{"start": 748.73, "end": 749.03, "word": " And", "probability": 0.5517578125}, {"start": 749.03, "end": 749.65, "word": " sometimes", "probability": 0.89794921875}, {"start": 749.65, "end": 750.11, "word": " discrimination", "probability": 0.8857421875}, {"start": 750.11, "end": 750.53, "word": " might", "probability": 0.7548828125}, {"start": 750.53, "end": 750.89, "word": " happen", "probability": 0.8759765625}, {"start": 750.89, "end": 751.73, 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If the employer is African-American and two candidates, one of them is African-American and the second is Latino, he might prefer the African-American. So this is a discrimination. 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Because all the Palestinians, they are belonging to the same ethnicity. Its equivalent is going to be this one. 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So the political affiliation, does it matter? Yes, it matters. Some of the organizations, they are taking decisions of hiring based on discriminatory basis. Once again, this is considered to be what? Illegal, or discrimination, or unethical, or irreligious. 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This is something very dangerous. Clear? Go on. Now listen. Now let's ask another question. 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This is a big question. Should we attract 11? Should we attract 12? Should we attract 100? Should we attract 1000? Should we attract 200? And so on.", "tokens": [1012, 867, 28767, 820, 321, 5049, 30, 639, 307, 257, 955, 1168, 13, 6454, 321, 5049, 2975, 30, 6454, 321, 5049, 2272, 30, 6454, 321, 5049, 2319, 30, 6454, 321, 5049, 9714, 30, 6454, 321, 5049, 2331, 30, 400, 370, 322, 13], "avg_logprob": -0.1425327055676039, "compression_ratio": 1.898989898989899, "no_speech_prob": 0.0, "words": [{"start": 937.12, "end": 937.4, "word": " How", "probability": 0.60595703125}, {"start": 937.4, "end": 937.86, "word": " many", "probability": 0.86669921875}, {"start": 937.86, "end": 939.18, "word": " applicants", "probability": 0.958984375}, {"start": 939.18, "end": 943.48, "word": " should", "probability": 0.896484375}, {"start": 943.48, "end": 943.66, "word": " we", "probability": 0.931640625}, {"start": 943.66, "end": 944.04, "word": " attract?", "probability": 0.9150390625}, {"start": 948.42, "end": 949.32, "word": " This", "probability": 0.6982421875}, {"start": 949.32, "end": 949.5, "word": " is", "probability": 0.94970703125}, {"start": 949.5, "end": 949.7, "word": " a", "probability": 0.97265625}, {"start": 949.7, "end": 949.86, "word": " big", "probability": 0.88134765625}, {"start": 949.86, "end": 950.34, "word": " question.", "probability": 0.92041015625}, {"start": 951.66, "end": 952.56, "word": " Should", "probability": 0.90087890625}, {"start": 952.56, "end": 952.7, "word": " we", "probability": 0.95751953125}, {"start": 952.7, "end": 953.2, "word": " attract", "probability": 0.91552734375}, {"start": 953.2, "end": 954.1, "word": " 11?", "probability": 0.49951171875}, {"start": 954.76, "end": 955.66, "word": " Should", "probability": 0.82861328125}, {"start": 955.66, "end": 955.82, "word": " we", "probability": 0.9609375}, {"start": 955.82, "end": 956.1, "word": " attract", "probability": 0.90869140625}, {"start": 956.1, "end": 956.54, "word": " 12?", "probability": 0.951171875}, {"start": 957.56, "end": 957.96, "word": " Should", "probability": 0.921875}, {"start": 957.96, "end": 958.12, "word": " we", "probability": 0.95947265625}, {"start": 958.12, "end": 958.52, "word": " attract", "probability": 0.92578125}, {"start": 958.52, "end": 959.0, "word": " 100?", "probability": 0.89794921875}, {"start": 959.54, "end": 960.16, "word": " Should", "probability": 0.91650390625}, {"start": 960.16, "end": 960.3, "word": " we", "probability": 0.95947265625}, {"start": 960.3, "end": 960.68, "word": " attract", "probability": 0.927734375}, {"start": 960.68, "end": 961.26, "word": " 1000?", "probability": 0.7822265625}, {"start": 961.94, "end": 962.36, "word": " Should", "probability": 0.9267578125}, {"start": 962.36, "end": 962.5, "word": " we", "probability": 0.95947265625}, {"start": 962.5, "end": 962.8, "word": " attract", "probability": 0.92529296875}, {"start": 962.8, "end": 963.28, "word": " 200?", "probability": 0.91357421875}, {"start": 963.82, "end": 964.28, "word": " And", "probability": 0.6240234375}, {"start": 964.28, "end": 964.5, "word": " so", "probability": 0.93359375}, {"start": 964.5, "end": 964.68, "word": " on.", "probability": 0.94970703125}], "temperature": 1.0}, {"id": 37, "seek": 99150, "start": 967.14, "end": 991.5, "text": " So the number is something very important. Let's give example. If you are going to attract 12 candidates, God knows somebody might fail in the test, another body might fail in the interview, and a third body might be unqualified, and his unqualification might be determined while we are screening out his or her application, and a fourth might decline your offer.", "tokens": [407, 264, 1230, 307, 746, 588, 1021, 13, 961, 311, 976, 1365, 13, 759, 291, 366, 516, 281, 5049, 2272, 11255, 11, 1265, 3255, 2618, 1062, 3061, 294, 264, 1500, 11, 1071, 1772, 1062, 3061, 294, 264, 4049, 11, 293, 257, 2636, 1772, 1062, 312, 517, 46094, 11, 293, 702, 517, 22345, 3774, 1062, 312, 9540, 1339, 321, 366, 17732, 484, 702, 420, 720, 3861, 11, 293, 257, 6409, 1062, 15635, 428, 2626, 13], "avg_logprob": -0.19708333532015482, "compression_ratio": 1.6697247706422018, "no_speech_prob": 0.0, "words": [{"start": 967.14, "end": 967.42, "word": " So", "probability": 0.669921875}, {"start": 967.42, "end": 967.62, "word": " the", "probability": 0.6259765625}, {"start": 967.62, 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So we filled eight vacancies out of ten and two are still vacant. Do you want me to retain or to reverse what we did with the second two vacancies? Is this logical? Is this economical? Is this feasible? Of course not. Should I hire or attract one hundred?", "tokens": [407, 294, 341, 636, 11, 1451, 12483, 2236, 484, 295, 1808, 14390, 11, 550, 437, 307, 1411, 307, 3180, 13, 407, 321, 6412, 3180, 2842, 32286, 484, 295, 2064, 293, 732, 366, 920, 38890, 13, 1144, 291, 528, 385, 281, 18340, 420, 281, 9943, 437, 321, 630, 365, 264, 1150, 732, 2842, 32286, 30, 1119, 341, 14978, 30, 1119, 341, 42473, 30, 1119, 341, 26648, 30, 2720, 1164, 406, 13, 6454, 286, 11158, 420, 5049, 472, 3262, 30], "avg_logprob": -0.19323576590682887, "compression_ratio": 1.6292682926829267, "no_speech_prob": 0.0, "words": [{"start": 992.77, "end": 993.05, "word": " So", "probability": 0.6220703125}, {"start": 993.05, "end": 993.19, "word": " in", "probability": 0.52294921875}, {"start": 993.19, "end": 993.43, "word": " this", "probability": 0.94580078125}, {"start": 993.43, "end": 993.75, "word": " way,", "probability": 0.96142578125}, {"start": 994.27, "end": 994.67, "word": " four", "probability": 0.460693359375}, {"start": 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"text": " Because we have a formula and this formula is founded on logic and mathematical equations. What the formula is saying", "tokens": [1436, 321, 362, 257, 8513, 293, 341, 8513, 307, 13234, 322, 9952, 293, 18894, 11787, 13, 708, 264, 8513, 307, 1566], "avg_logprob": -0.3938210281458768, "compression_ratio": 1.2826086956521738, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1029.04, "end": 1029.76, "word": " Because", "probability": 0.042816162109375}, {"start": 1029.76, "end": 1030.48, "word": " we", "probability": 0.89404296875}, {"start": 1030.48, "end": 1030.7, "word": " have", "probability": 0.94384765625}, {"start": 1030.7, "end": 1030.96, "word": " a", "probability": 0.9384765625}, {"start": 1030.96, "end": 1031.4, "word": " formula", "probability": 0.90283203125}, {"start": 1031.4, "end": 1034.14, "word": " and", "probability": 0.2978515625}, {"start": 1034.14, "end": 1034.42, "word": " this", "probability": 0.927734375}, {"start": 1034.42, "end": 1035.0, "word": " formula", "probability": 0.9296875}, {"start": 1035.0, "end": 1036.02, "word": " is", "probability": 0.93359375}, {"start": 1036.02, "end": 1036.46, "word": " founded", "probability": 0.8681640625}, {"start": 1036.46, "end": 1036.82, "word": " on", "probability": 0.9169921875}, {"start": 1036.82, "end": 1037.08, "word": " logic", "probability": 0.7431640625}, {"start": 1037.08, "end": 1037.32, "word": " and", "probability": 0.931640625}, {"start": 1037.32, "end": 1037.7, "word": " mathematical", "probability": 0.76953125}, {"start": 1037.7, "end": 1038.3, "word": " equations.", "probability": 0.931640625}, {"start": 1039.52, "end": 1039.8, "word": " What", "probability": 0.455078125}, {"start": 1039.8, "end": 1039.96, "word": " the", "probability": 0.81640625}, {"start": 1039.96, "end": 1040.28, "word": " formula", "probability": 0.89501953125}, {"start": 1040.28, "end": 1040.54, "word": " is", "probability": 0.92431640625}, {"start": 1040.54, "end": 1040.9, "word": " saying", "probability": 0.8916015625}], "temperature": 1.0}, {"id": 40, "seek": 106884, "start": 1041.83, "end": 1068.85, "text": " All the time, if we would like to identify the number of applicants whom we should attract, we should follow through this formula. The formula is saying, the number of recruits, we abbreviated this by R, which refers to recruits, equals H divided by S multiplied by A. 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Which are the vacancies. الـS it refers to the percentage of the recruits selected. 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Why? Because of the salary, because of the number of holidays, because of the working hours and so on. So all these things must be plugged into a certain formula to determine the number of applicants whom we should attract according to the specific number of vacancies. 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How we should initiate our recruitment process? By one word which is called ads, advertisements. In other words, we are referring to the process of read. Announcements. Exactly, announcements. 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They might happen or they might be displayed electronically and sometimes they might be displayed manually. If it is manual, we are going to talk about journals, we are going to talk about newspapers. If it is electronic, we are going to talk about the whips. 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The most famous website for recruitment is jobs.ps. This is the most famous one. I think jobs.ps. Jobs.ps, yes. Jobs.ps. 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Why I'm encouraging you because you are about to graduate. I'm encouraging you to keep them down, keep them on the favorites on your desktop or laptop, and visit them regularly from time to time. They are very important. And by the way, in my actual life, I hunted down more than two jobs by skimming these websites. They are very important. Okay? 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Classified ads, it means advertisements which are going to be classified according to their nature and so on. They have advantages. Advantages like what? Reaches wide audiences. Second, use if high turnover. Third, tend to overproduce under qualified candidates.", "tokens": [2743, 11, 321, 576, 411, 281, 751, 466, 20627, 10342, 13, 9471, 2587, 10342, 11, 309, 1355, 42897, 597, 366, 516, 281, 312, 20627, 4650, 281, 641, 3687, 293, 370, 322, 13, 814, 362, 14906, 13, 1999, 5219, 1660, 411, 437, 30, 1300, 13272, 4874, 15479, 13, 5736, 11, 764, 498, 1090, 37137, 13, 12548, 11, 3928, 281, 670, 14314, 384, 833, 15904, 11255, 13], "avg_logprob": -0.19874526018446143, "compression_ratio": 1.5728643216080402, "no_speech_prob": 0.0, "words": [{"start": 1341.54, "end": 1342.02, "word": " Also,", "probability": 0.56103515625}, {"start": 1342.18, "end": 1342.2, "word": " we", "probability": 0.84912109375}, {"start": 1342.2, "end": 1342.32, "word": " would", "probability": 0.79931640625}, {"start": 1342.32, "end": 1342.46, "word": " like", "probability": 0.9287109375}, {"start": 1342.46, "end": 1342.58, "word": " to", "probability": 0.9677734375}, {"start": 1342.58, "end": 1342.72, "word": " talk", "probability": 0.880859375}, {"start": 1342.72, "end": 1342.94, "word": " about", "probability": 0.9091796875}, {"start": 1342.94, "end": 1343.48, "word": " classified", "probability": 0.5595703125}, {"start": 1343.48, "end": 1343.92, "word": " ads.", "probability": 0.95703125}, {"start": 1344.76, "end": 1345.38, "word": " Classified", "probability": 0.868896484375}, {"start": 1345.38, "end": 1345.84, "word": " ads,", "probability": 0.91259765625}, {"start": 1346.7, "end": 1347.02, "word": " it", "probability": 0.8271484375}, {"start": 1347.02, "end": 1347.48, "word": " means", "probability": 0.91357421875}, {"start": 1347.48, "end": 1348.9, "word": " advertisements", "probability": 0.8095703125}, {"start": 1348.9, "end": 1349.32, "word": " which", "probability": 0.80810546875}, {"start": 1349.32, "end": 1349.52, "word": " are", "probability": 0.92041015625}, {"start": 1349.52, "end": 1349.72, "word": " going", "probability": 0.9453125}, {"start": 1349.72, "end": 1349.82, "word": " to", "probability": 0.970703125}, {"start": 1349.82, "end": 1349.94, "word": " be", "probability": 0.95703125}, {"start": 1349.94, "end": 1350.58, "word": " classified", "probability": 0.95947265625}, {"start": 1350.58, "end": 1351.6, "word": " according", "probability": 0.861328125}, {"start": 1351.6, "end": 1351.8, "word": " to", "probability": 0.96923828125}, {"start": 1351.8, "end": 1352.02, "word": " their", "probability": 0.95751953125}, {"start": 1352.02, "end": 1352.4, "word": " nature", "probability": 0.91357421875}, {"start": 1352.4, "end": 1352.62, "word": " and", "probability": 0.8017578125}, {"start": 1352.62, "end": 1352.8, "word": " so", "probability": 0.9453125}, {"start": 1352.8, "end": 1353.06, "word": " on.", "probability": 0.94482421875}, {"start": 1354.22, "end": 1354.44, "word": " They", "probability": 0.78369140625}, {"start": 1354.44, "end": 1354.68, "word": " have", "probability": 0.94677734375}, {"start": 1354.68, "end": 1355.24, "word": " advantages.", "probability": 0.9384765625}, {"start": 1355.34, "end": 1355.68, "word": " Advantages", "probability": 0.8312174479166666}, {"start": 1355.68, "end": 1355.92, "word": " like", "probability": 0.89404296875}, {"start": 1355.92, "end": 1356.2, "word": " what?", "probability": 0.88037109375}, {"start": 1356.6, "end": 1357.16, "word": " Reaches", "probability": 0.8291015625}, {"start": 1357.16, "end": 1357.54, "word": " wide", "probability": 0.468505859375}, {"start": 1357.54, "end": 1358.04, "word": " audiences.", "probability": 0.53662109375}, {"start": 1358.96, "end": 1359.38, "word": " Second,", "probability": 0.83056640625}, {"start": 1359.72, "end": 1360.08, "word": " use", "probability": 0.63525390625}, {"start": 1360.08, "end": 1360.28, "word": " if", "probability": 0.90869140625}, {"start": 1360.28, "end": 1360.5, "word": " high", "probability": 0.64697265625}, {"start": 1360.5, "end": 1360.74, "word": " turnover.", "probability": 0.76953125}, {"start": 1361.08, "end": 1361.42, "word": " Third,", "probability": 0.8974609375}, {"start": 1361.78, "end": 1362.08, "word": " tend", "probability": 0.7685546875}, {"start": 1362.08, "end": 1362.28, "word": " to", "probability": 0.96435546875}, {"start": 1362.28, "end": 1362.88, "word": " overproduce", "probability": 0.837890625}, {"start": 1362.88, "end": 1363.18, "word": " under", "probability": 0.90625}, {"start": 1363.18, "end": 1363.66, "word": " qualified", "probability": 0.83349609375}, {"start": 1363.66, "end": 1364.16, "word": " candidates.", "probability": 0.927734375}], "temperature": 1.0}, {"id": 52, "seek": 139203, "start": 1365.03, "end": 1392.03, "text": " Classified ads, advertisements of jobs which are relating to specific fields of professions. If you are looking for engineers, you are going to find the classified ads in, for example, engineering journals, engineering sites, engineering organizations. Also, sometimes you can attract the employees from you represent employees now. How? Familiar with the company products?", "tokens": [9471, 2587, 10342, 11, 42897, 295, 4782, 597, 366, 23968, 281, 2685, 7909, 295, 38129, 13, 759, 291, 366, 1237, 337, 11955, 11, 291, 366, 516, 281, 915, 264, 20627, 10342, 294, 11, 337, 1365, 11, 7043, 29621, 11, 7043, 7533, 11, 7043, 6150, 13, 2743, 11, 2171, 291, 393, 5049, 264, 6619, 490, 291, 2906, 6619, 586, 13, 1012, 30, 7342, 4600, 365, 264, 2237, 3383, 30], "avg_logprob": -0.2248641356177952, "compression_ratio": 1.6923076923076923, "no_speech_prob": 0.0, "words": [{"start": 1365.03, "end": 1365.71, "word": " Classified", "probability": 0.787109375}, {"start": 1365.71, "end": 1366.11, "word": " ads,", "probability": 0.6962890625}, {"start": 1366.99, "end": 1367.77, "word": " advertisements", "probability": 0.7314453125}, {"start": 1367.77, "end": 1368.23, "word": " of", "probability": 0.95263671875}, {"start": 1368.23, "end": 1368.57, "word": " jobs", "probability": 0.8857421875}, {"start": 1368.57, "end": 1368.93, "word": " 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Third, sales as a promotion, not require a lot of training because they know us. And finally, over rely on previous experience. Somebody is going to say, how am I going to rehire a current employee now? Over time? Okay, and sometimes? Another job offer? Two shifts? 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Now listen, Japanese they are addicted to hire and to promote their current employees, especially if these positions are seniors. They prefer priority number one is given for the current employees who are working now inside the organization.", "tokens": [15783, 13, 823, 2140, 11, 5433, 436, 366, 24629, 281, 11158, 293, 281, 9773, 641, 2190, 6619, 11, 2318, 498, 613, 8432, 366, 21069, 13, 814, 4382, 9365, 1230, 472, 307, 2212, 337, 264, 2190, 6619, 567, 366, 1364, 586, 1854, 264, 4475, 13], "avg_logprob": -0.24496526453230116, "compression_ratio": 1.5426829268292683, "no_speech_prob": 0.0, "words": [{"start": 1422.86, "end": 1423.78, "word": " promotion.", "probability": 0.45654296875}, {"start": 1425.28, "end": 1425.36, "word": " Now", "probability": 0.79150390625}, {"start": 1425.36, "end": 1425.7, "word": " listen,", "probability": 0.7578125}, {"start": 1426.3, "end": 1428.06, "word": " Japanese", "probability": 0.45556640625}, {"start": 1428.06, "end": 1428.82, "word": " they", "probability": 0.478515625}, {"start": 1428.82, "end": 1429.04, "word": " are", "probability": 0.93017578125}, {"start": 1429.04, "end": 1429.62, "word": " addicted", "probability": 0.88818359375}, {"start": 1429.62, "end": 1431.34, "word": " to", "probability": 0.95703125}, {"start": 1431.34, "end": 1431.74, "word": " hire", "probability": 0.88525390625}, {"start": 1431.74, "end": 1432.06, "word": " and", "probability": 0.927734375}, {"start": 1432.06, "end": 1432.2, "word": " to", "probability": 0.64892578125}, {"start": 1432.2, "end": 1432.66, "word": " promote", "probability": 0.9716796875}, {"start": 1432.66, "end": 1433.2, "word": " their", "probability": 0.95166015625}, {"start": 1433.2, "end": 1433.74, "word": " current", "probability": 0.8837890625}, {"start": 1433.74, "end": 1434.34, "word": " employees,", "probability": 0.85986328125}, {"start": 1435.26, "end": 1436.62, "word": " especially", "probability": 0.814453125}, {"start": 1436.62, "end": 1437.84, "word": " if", "probability": 0.89501953125}, {"start": 1437.84, "end": 1438.3, "word": " these", "probability": 0.87158203125}, {"start": 1438.3, "end": 1438.82, "word": " positions", "probability": 0.85302734375}, {"start": 1438.82, "end": 1439.2, "word": " are", "probability": 0.9326171875}, {"start": 1439.2, "end": 1439.64, "word": " seniors.", "probability": 0.7705078125}, {"start": 1441.94, "end": 1442.3, "word": " They", "probability": 0.7880859375}, {"start": 1442.3, "end": 1443.06, "word": " prefer", "probability": 0.97607421875}, {"start": 1443.06, "end": 1443.44, "word": " priority", "probability": 0.91064453125}, {"start": 1443.44, "end": 1443.78, "word": " number", "probability": 0.81494140625}, {"start": 1443.78, "end": 1444.1, "word": " one", "probability": 0.814453125}, {"start": 1444.1, "end": 1444.28, "word": " is", "probability": 0.78564453125}, {"start": 1444.28, "end": 1444.52, "word": " given", "probability": 0.87548828125}, {"start": 1444.52, "end": 1445.0, "word": " for", "probability": 0.9091796875}, {"start": 1445.0, "end": 1445.78, "word": " the", "probability": 0.85546875}, {"start": 1445.78, "end": 1446.2, "word": " current", "probability": 0.88232421875}, {"start": 1446.2, "end": 1446.78, "word": " employees", "probability": 0.89404296875}, {"start": 1446.78, "end": 1446.98, "word": " who", "probability": 0.87841796875}, {"start": 1446.98, "end": 1447.12, "word": " are", "probability": 0.93994140625}, {"start": 1447.12, "end": 1447.56, "word": " working", "probability": 0.89111328125}, {"start": 1447.56, "end": 1447.9, "word": " now", "probability": 0.91357421875}, {"start": 1447.9, "end": 1448.56, "word": " inside", "probability": 0.91162109375}, {"start": 1448.56, "end": 1449.14, "word": " the", "probability": 0.85791015625}, {"start": 1449.14, "end": 1449.44, "word": " organization.", "probability": 0.5244140625}], "temperature": 1.0}, {"id": 55, "seek": 147492, "start": 1450.94, "end": 1474.92, "text": " The Americans and the westernized farms prefer to produce or to pump new blood. Therefore, their employment is going to be external rather than internal. But the Japanese prefer the internal jobs especially for the most important and senior positions.", "tokens": [440, 6280, 293, 264, 13231, 1602, 20366, 4382, 281, 5258, 420, 281, 5889, 777, 3390, 13, 7504, 11, 641, 11949, 307, 516, 281, 312, 8320, 2831, 813, 6920, 13, 583, 264, 5433, 4382, 264, 6920, 4782, 2318, 337, 264, 881, 1021, 293, 7965, 8432, 13], "avg_logprob": -0.25407609732254693, "compression_ratio": 1.4823529411764707, "no_speech_prob": 0.0, "words": [{"start": 1450.94, "end": 1451.22, "word": " The", "probability": 0.57568359375}, {"start": 1451.22, "end": 1451.8, "word": " Americans", "probability": 0.6611328125}, {"start": 1451.8, "end": 1452.1, "word": " and", "probability": 0.83740234375}, {"start": 1452.1, "end": 1452.2, "word": " the", "probability": 0.4833984375}, {"start": 1452.2, "end": 1453.0, "word": " westernized", "probability": 0.716552734375}, {"start": 1453.0, "end": 1454.7, "word": " farms", "probability": 0.49609375}, {"start": 1454.7, "end": 1456.48, "word": " prefer", "probability": 0.473388671875}, {"start": 1456.48, "end": 1457.16, "word": " to", "probability": 0.89990234375}, {"start": 1457.16, "end": 1458.42, "word": " produce", "probability": 0.8515625}, {"start": 1458.42, "end": 1458.62, "word": " or", "probability": 0.53759765625}, {"start": 1458.62, "end": 1458.78, "word": " to", "probability": 0.54541015625}, {"start": 1458.78, "end": 1459.08, "word": " pump", "probability": 0.7265625}, {"start": 1459.08, "end": 1460.12, "word": " new", "probability": 0.66259765625}, {"start": 1460.12, "end": 1460.62, "word": " blood.", "probability": 0.90234375}, {"start": 1461.32, "end": 1462.26, "word": " Therefore,", "probability": 0.8212890625}, {"start": 1462.6, "end": 1463.02, "word": " their", "probability": 0.916015625}, {"start": 1463.02, "end": 1463.52, "word": " employment", "probability": 0.91943359375}, {"start": 1463.52, "end": 1463.74, "word": " is", "probability": 0.81884765625}, {"start": 1463.74, "end": 1463.9, "word": " going", "probability": 0.890625}, {"start": 1463.9, "end": 1464.0, "word": " to", "probability": 0.9697265625}, {"start": 1464.0, "end": 1464.16, "word": " be", "probability": 0.91650390625}, {"start": 1464.16, "end": 1464.6, "word": " external", "probability": 0.90625}, {"start": 1464.6, "end": 1465.44, "word": " rather", "probability": 0.83056640625}, {"start": 1465.44, "end": 1466.0, "word": " than", "probability": 0.94921875}, {"start": 1466.0, "end": 1466.6, "word": " internal.", "probability": 0.89990234375}, {"start": 1467.96, "end": 1468.3, "word": " But", "probability": 0.85595703125}, {"start": 1468.3, "end": 1468.4, "word": " the", "probability": 0.86328125}, {"start": 1468.4, "end": 1468.94, "word": " Japanese", "probability": 0.84716796875}, {"start": 1468.94, "end": 1470.12, "word": " prefer", "probability": 0.80029296875}, {"start": 1470.12, "end": 1470.68, "word": " the", "probability": 0.52197265625}, {"start": 1470.68, "end": 1471.16, "word": " internal", "probability": 0.89892578125}, {"start": 1471.16, "end": 1471.52, "word": " jobs", "probability": 0.71923828125}, {"start": 1471.52, "end": 1472.04, "word": " especially", "probability": 0.65380859375}, {"start": 1472.04, "end": 1473.02, "word": " for", "probability": 0.90087890625}, {"start": 1473.02, "end": 1473.2, "word": " the", "probability": 0.87158203125}, {"start": 1473.2, "end": 1473.5, "word": " most", "probability": 0.89013671875}, {"start": 1473.5, "end": 1474.02, "word": " important", "probability": 0.8916015625}, {"start": 1474.02, "end": 1474.26, "word": " and", "probability": 0.90966796875}, {"start": 1474.26, "end": 1474.46, "word": " senior", "probability": 0.8212890625}, {"start": 1474.46, "end": 1474.92, "word": " positions.", "probability": 0.837890625}], "temperature": 1.0}, {"id": 56, "seek": 149735, "start": 1476.49, "end": 1497.35, "text": " So in this case, if you are going to hire, rehire prison employees, this means we are implementing promotions and we are imitating the Japanese styles, which is enjoying more than one advantages or characteristics, like these ones. Any questions or comments? Go on.", "tokens": [407, 294, 341, 1389, 11, 498, 291, 366, 516, 281, 11158, 11, 22355, 621, 6168, 6619, 11, 341, 1355, 321, 366, 18114, 42127, 293, 321, 366, 566, 16350, 264, 5433, 13273, 11, 597, 307, 9929, 544, 813, 472, 14906, 420, 10891, 11, 411, 613, 2306, 13, 2639, 1651, 420, 3053, 30, 1037, 322, 13], "avg_logprob": -0.27826705195687035, "compression_ratio": 1.502824858757062, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1476.49, "end": 1476.81, "word": " So", "probability": 0.662109375}, {"start": 1476.81, "end": 1476.99, "word": " in", "probability": 0.61669921875}, {"start": 1476.99, "end": 1477.23, "word": " this", "probability": 0.9404296875}, {"start": 1477.23, "end": 1477.65, "word": " case,", "probability": 0.9169921875}, {"start": 1477.83, "end": 1477.95, "word": " if", "probability": 0.921875}, {"start": 1477.95, "end": 1478.05, "word": " you", "probability": 0.73046875}, {"start": 1478.05, "end": 1478.17, "word": " are", "probability": 0.62451171875}, {"start": 1478.17, "end": 1478.39, "word": " going", "probability": 0.9296875}, {"start": 1478.39, "end": 1478.55, "word": " to", "probability": 0.97265625}, {"start": 1478.55, "end": 1478.83, "word": " hire,", "probability": 0.77294921875}, {"start": 1478.99, "end": 1479.41, "word": " rehire", "probability": 0.9208984375}, {"start": 1479.41, "end": 1479.75, "word": " prison", "probability": 0.38427734375}, {"start": 1479.75, "end": 1480.07, "word": " employees,", "probability": 0.5087890625}, {"start": 1480.47, "end": 1480.73, "word": " this", "probability": 0.85693359375}, {"start": 1480.73, "end": 1480.97, "word": " means", "probability": 0.94189453125}, {"start": 1480.97, "end": 1481.13, "word": " we", "probability": 0.76708984375}, {"start": 1481.13, "end": 1481.27, "word": " are", "probability": 0.923828125}, {"start": 1481.27, "end": 1481.71, "word": " implementing", "probability": 0.77001953125}, {"start": 1481.71, "end": 1482.73, "word": " promotions", "probability": 0.86279296875}, {"start": 1482.73, "end": 1484.13, "word": " and", "probability": 0.57177734375}, {"start": 1484.13, "end": 1484.29, "word": " we", "probability": 0.91259765625}, {"start": 1484.29, "end": 1484.49, "word": " are", "probability": 0.9306640625}, {"start": 1484.49, "end": 1484.95, "word": " imitating", "probability": 0.944091796875}, {"start": 1484.95, "end": 1485.57, "word": " the", "probability": 0.75146484375}, {"start": 1485.57, "end": 1485.87, "word": " Japanese", "probability": 0.8046875}, {"start": 1485.87, "end": 1486.39, "word": " styles,", "probability": 0.69873046875}, {"start": 1486.73, "end": 1487.05, "word": " which", "probability": 0.93603515625}, {"start": 1487.05, "end": 1487.21, "word": " is", "probability": 0.658203125}, {"start": 1487.21, "end": 1487.69, "word": " enjoying", "probability": 0.857421875}, {"start": 1487.69, "end": 1488.49, "word": " more", "probability": 0.931640625}, {"start": 1488.49, "end": 1488.69, "word": " than", "probability": 0.93896484375}, {"start": 1488.69, "end": 1488.89, "word": " one", "probability": 0.921875}, {"start": 1488.89, "end": 1489.37, "word": " advantages", "probability": 0.43701171875}, {"start": 1489.37, "end": 1489.57, "word": " or", "probability": 0.9267578125}, {"start": 1489.57, "end": 1490.07, "word": " characteristics,", "probability": 0.83349609375}, {"start": 1490.19, "end": 1490.51, "word": " like", "probability": 0.935546875}, {"start": 1490.51, "end": 1491.11, "word": " these", "probability": 0.8486328125}, {"start": 1491.11, "end": 1491.43, "word": " ones.", "probability": 0.90380859375}, {"start": 1495.17, "end": 1495.53, "word": " Any", "probability": 0.51220703125}, {"start": 1495.53, "end": 1495.81, "word": " questions", "probability": 0.4111328125}, {"start": 1495.81, "end": 1495.99, "word": " or", "probability": 0.7939453125}, {"start": 1495.99, "end": 1496.27, "word": " comments?", "probability": 0.880859375}, {"start": 1496.83, "end": 1497.15, "word": " Go", "probability": 0.9111328125}, {"start": 1497.15, "end": 1497.35, "word": " on.", "probability": 0.94140625}], "temperature": 1.0}, {"id": 57, "seek": 151504, "start": 1498.7, "end": 1515.04, "text": " Sometimes also we can recruit candidates, how? By contacting referrals or networking, whom they are familiar with the character of these candidates, who they know they are fitting for these positions. So we are going to contact them.", "tokens": [4803, 611, 321, 393, 15119, 11255, 11, 577, 30, 3146, 41482, 47444, 420, 17985, 11, 7101, 436, 366, 4963, 365, 264, 2517, 295, 613, 11255, 11, 567, 436, 458, 436, 366, 15669, 337, 613, 8432, 13, 407, 321, 366, 516, 281, 3385, 552, 13], "avg_logprob": -0.2128472195731269, "compression_ratio": 1.56, "no_speech_prob": 0.0, "words": [{"start": 1498.7, "end": 1499.2, "word": " Sometimes", "probability": 0.79296875}, {"start": 1499.2, "end": 1499.82, "word": " also", "probability": 0.58935546875}, {"start": 1499.82, "end": 1500.06, "word": " we", "probability": 0.765625}, {"start": 1500.06, "end": 1500.36, "word": " can", "probability": 0.93115234375}, {"start": 1500.36, "end": 1500.94, "word": " recruit", "probability": 0.89501953125}, {"start": 1500.94, "end": 1501.8, "word": " candidates,", "probability": 0.876953125}, {"start": 1501.96, "end": 1502.24, "word": " how?", "probability": 0.7705078125}, {"start": 1502.74, "end": 1502.98, "word": " By", "probability": 0.84814453125}, {"start": 1502.98, "end": 1503.46, "word": " contacting", "probability": 0.85302734375}, {"start": 1503.46, "end": 1503.96, "word": " referrals", "probability": 0.83935546875}, {"start": 1503.96, "end": 1504.9, "word": " or", "probability": 0.65283203125}, {"start": 1504.9, "end": 1505.46, "word": " networking,", "probability": 0.861328125}, {"start": 1506.06, "end": 1506.68, "word": " whom", "probability": 0.85498046875}, {"start": 1506.68, "end": 1506.88, "word": " they", "probability": 0.85595703125}, {"start": 1506.88, "end": 1507.04, "word": " are", "probability": 0.9365234375}, {"start": 1507.04, "end": 1507.44, "word": " familiar", "probability": 0.828125}, {"start": 1507.44, "end": 1507.7, "word": " with", "probability": 0.9091796875}, {"start": 1507.7, "end": 1507.86, "word": " the", "probability": 0.900390625}, {"start": 1507.86, "end": 1508.14, "word": " character", "probability": 0.7734375}, {"start": 1508.14, "end": 1508.4, "word": " of", "probability": 0.97021484375}, {"start": 1508.4, "end": 1508.58, "word": " these", "probability": 0.83837890625}, {"start": 1508.58, "end": 1509.06, "word": " candidates,", "probability": 0.8916015625}, {"start": 1509.92, "end": 1510.02, "word": " who", "probability": 0.76806640625}, {"start": 1510.02, "end": 1510.26, "word": " they", "probability": 0.86669921875}, {"start": 1510.26, "end": 1510.5, "word": " know", "probability": 0.88623046875}, {"start": 1510.5, "end": 1510.78, "word": " they", "probability": 0.7841796875}, {"start": 1510.78, "end": 1511.12, "word": " are", "probability": 0.92333984375}, {"start": 1511.12, "end": 1511.52, "word": " fitting", "probability": 0.8369140625}, {"start": 1511.52, "end": 1512.04, "word": " for", "probability": 0.9296875}, {"start": 1512.04, "end": 1512.4, "word": " these", "probability": 0.84375}, {"start": 1512.4, "end": 1512.86, "word": " positions.", "probability": 0.85498046875}, {"start": 1513.58, "end": 1513.86, "word": " So", "probability": 0.9306640625}, {"start": 1513.86, "end": 1514.04, "word": " we", "probability": 0.728515625}, {"start": 1514.04, "end": 1514.16, "word": " are", "probability": 0.900390625}, {"start": 1514.16, "end": 1514.34, "word": " going", "probability": 0.94580078125}, {"start": 1514.34, "end": 1514.48, "word": " to", "probability": 0.96630859375}, {"start": 1514.48, "end": 1514.78, "word": " contact", "probability": 0.93603515625}, {"start": 1514.78, "end": 1515.04, "word": " them.", "probability": 0.89404296875}], "temperature": 1.0}, {"id": 58, "seek": 153578, "start": 1515.98, "end": 1535.78, "text": " Reference means a person who already used to work with this candidate, and a person who knows that this person can function and can fulfill the responsibilities of the current position. Take this scenario and tell me how you are going to act as HR. Imagine a man", "tokens": [36889, 655, 1355, 257, 954, 567, 1217, 1143, 281, 589, 365, 341, 11532, 11, 293, 257, 954, 567, 3255, 300, 341, 954, 393, 2445, 293, 393, 13875, 264, 16190, 295, 264, 2190, 2535, 13, 3664, 341, 9005, 293, 980, 385, 577, 291, 366, 516, 281, 605, 382, 19460, 13, 11739, 257, 587], "avg_logprob": -0.24867334005967626, "compression_ratio": 1.5202312138728324, "no_speech_prob": 0.0, "words": [{"start": 1515.98, "end": 1516.54, "word": " Reference", "probability": 0.6309814453125}, {"start": 1516.54, "end": 1516.84, "word": " means", "probability": 0.791015625}, {"start": 1516.84, "end": 1517.54, "word": " a", "probability": 0.802734375}, {"start": 1517.54, "end": 1517.94, "word": " person", "probability": 0.9375}, {"start": 1517.94, "end": 1518.2, "word": " who", "probability": 0.90625}, {"start": 1518.2, "end": 1518.68, "word": " already", "probability": 0.890625}, {"start": 1518.68, "end": 1519.36, "word": " used", "probability": 0.8818359375}, {"start": 1519.36, "end": 1519.56, "word": " to", "probability": 0.96875}, {"start": 1519.56, "end": 1519.9, "word": " work", "probability": 0.9287109375}, {"start": 1519.9, "end": 1520.16, "word": " with", "probability": 0.88330078125}, {"start": 1520.16, "end": 1520.36, "word": " this", "probability": 0.89697265625}, {"start": 1520.36, "end": 1520.84, "word": " candidate,", "probability": 0.81591796875}, {"start": 1521.68, "end": 1521.7, "word": " and", "probability": 0.369873046875}, {"start": 1521.7, "end": 1521.88, "word": " a", "probability": 0.8662109375}, {"start": 1521.88, "end": 1522.26, "word": " person", "probability": 0.93603515625}, {"start": 1522.26, "end": 1522.56, "word": " who", "probability": 0.8984375}, {"start": 1522.56, "end": 1523.14, "word": " knows", "probability": 0.82373046875}, {"start": 1523.14, "end": 1523.44, "word": " that", "probability": 0.88720703125}, {"start": 1523.44, "end": 1523.68, "word": " this", "probability": 0.92041015625}, {"start": 1523.68, "end": 1524.2, "word": " person", "probability": 0.9189453125}, {"start": 1524.2, "end": 1525.34, "word": " can", "probability": 0.9326171875}, {"start": 1525.34, "end": 1525.92, "word": " function", "probability": 0.93408203125}, {"start": 1525.92, "end": 1526.5, "word": " and", "probability": 0.91455078125}, {"start": 1526.5, "end": 1526.78, "word": " can", "probability": 0.578125}, {"start": 1526.78, "end": 1527.08, "word": " fulfill", "probability": 0.64306640625}, {"start": 1527.08, "end": 1527.3, "word": " the", "probability": 0.90966796875}, {"start": 1527.3, "end": 1527.88, "word": " responsibilities", "probability": 0.9140625}, {"start": 1527.88, "end": 1528.4, "word": " of", "probability": 0.962890625}, {"start": 1528.4, "end": 1528.54, "word": " the", "probability": 0.857421875}, {"start": 1528.54, "end": 1528.72, "word": " current", "probability": 0.865234375}, {"start": 1528.72, "end": 1529.16, "word": " position.", "probability": 0.91162109375}, {"start": 1530.48, "end": 1530.74, "word": " Take", "probability": 0.244384765625}, {"start": 1530.74, "end": 1531.06, "word": " this", "probability": 0.64404296875}, {"start": 1531.06, "end": 1531.42, "word": " scenario", "probability": 0.85302734375}, {"start": 1531.42, "end": 1531.54, "word": " and", "probability": 0.609375}, {"start": 1531.54, "end": 1531.68, "word": " tell", "probability": 0.78564453125}, {"start": 1531.68, "end": 1531.84, "word": " me", "probability": 0.94775390625}, {"start": 1531.84, "end": 1531.98, "word": " how", "probability": 0.9169921875}, {"start": 1531.98, "end": 1532.1, "word": " you", "probability": 0.833984375}, {"start": 1532.1, "end": 1532.2, "word": " are", "probability": 0.7578125}, {"start": 1532.2, "end": 1532.36, "word": " going", "probability": 0.94873046875}, {"start": 1532.36, "end": 1532.48, "word": " to", "probability": 0.96728515625}, {"start": 1532.48, "end": 1532.76, "word": " act", "probability": 0.921875}, {"start": 1532.76, "end": 1533.56, "word": " as", "probability": 0.595703125}, {"start": 1533.56, "end": 1533.8, "word": " HR.", "probability": 0.94580078125}, {"start": 1534.94, "end": 1535.38, "word": " Imagine", "probability": 0.83154296875}, {"start": 1535.38, "end": 1535.58, "word": " a", "probability": 0.931640625}, {"start": 1535.58, "end": 1535.78, "word": " man", "probability": 0.9130859375}], "temperature": 1.0}, {"id": 59, "seek": 155565, "start": 1536.69, "end": 1555.65, "text": " She applied for us with her CV. She is mentioning three referrals whom she knows or whom they know her and they already worked with her. As HR should we be satisfied by the current referrals whom she is going to provide to us in our or in her CV?", "tokens": [1240, 6456, 337, 505, 365, 720, 22995, 13, 1240, 307, 18315, 1045, 47444, 7101, 750, 3255, 420, 7101, 436, 458, 720, 293, 436, 1217, 2732, 365, 720, 13, 1018, 19460, 820, 321, 312, 11239, 538, 264, 2190, 47444, 7101, 750, 307, 516, 281, 2893, 281, 505, 294, 527, 420, 294, 720, 22995, 30], "avg_logprob": -0.2090567104794361, "compression_ratio": 1.5341614906832297, "no_speech_prob": 0.0, "words": [{"start": 1536.69, "end": 1536.95, "word": " She", "probability": 0.46923828125}, {"start": 1536.95, "end": 1537.27, "word": " applied", "probability": 0.77294921875}, {"start": 1537.27, "end": 1537.49, "word": " for", "probability": 0.9375}, {"start": 1537.49, "end": 1537.81, "word": " us", "probability": 0.8720703125}, {"start": 1537.81, "end": 1538.07, "word": " with", "probability": 0.2724609375}, {"start": 1538.07, "end": 1538.29, "word": " her", "probability": 0.93994140625}, {"start": 1538.29, "end": 1538.59, "word": " CV.", "probability": 0.96484375}, {"start": 1539.43, "end": 1539.69, "word": " She", "probability": 0.8515625}, {"start": 1539.69, "end": 1539.85, "word": " is", "probability": 0.84521484375}, {"start": 1539.85, "end": 1540.19, "word": " mentioning", "probability": 0.81884765625}, {"start": 1540.19, "end": 1540.47, "word": " three", "probability": 0.54248046875}, {"start": 1540.47, "end": 1540.89, "word": " referrals", "probability": 0.9052734375}, {"start": 1540.89, "end": 1541.67, "word": " whom", "probability": 0.5361328125}, {"start": 1541.67, "end": 1541.91, "word": " she", "probability": 0.90283203125}, {"start": 1541.91, "end": 1542.33, "word": " knows", "probability": 0.81640625}, {"start": 1542.33, "end": 1542.65, "word": " or", "probability": 0.8759765625}, {"start": 1542.65, "end": 1543.33, "word": " whom", "probability": 0.93408203125}, {"start": 1543.33, "end": 1543.51, "word": " they", "probability": 0.89208984375}, {"start": 1543.51, "end": 1543.73, "word": " know", "probability": 0.85498046875}, {"start": 1543.73, "end": 1544.07, "word": " her", "probability": 0.916015625}, {"start": 1544.07, "end": 1544.67, "word": " and", "probability": 0.73486328125}, {"start": 1544.67, "end": 1544.83, "word": " they", "probability": 0.7578125}, {"start": 1544.83, "end": 1545.15, "word": " already", "probability": 0.84423828125}, {"start": 1545.15, "end": 1545.39, "word": " worked", "probability": 0.861328125}, {"start": 1545.39, "end": 1545.55, "word": " with", "probability": 0.8984375}, {"start": 1545.55, "end": 1545.83, "word": " her.", "probability": 0.93896484375}, {"start": 1547.53, "end": 1548.05, "word": " As", "probability": 0.9404296875}, {"start": 1548.05, "end": 1548.45, "word": " HR", "probability": 0.98046875}, {"start": 1548.45, "end": 1550.03, "word": " should", "probability": 0.57568359375}, {"start": 1550.03, "end": 1550.23, "word": " we", "probability": 0.93408203125}, {"start": 1550.23, "end": 1550.41, "word": " be", "probability": 0.9345703125}, {"start": 1550.41, "end": 1550.85, "word": " satisfied", "probability": 0.87548828125}, {"start": 1550.85, "end": 1551.23, "word": " by", "probability": 0.89501953125}, {"start": 1551.23, "end": 1551.41, "word": " the", "probability": 0.90966796875}, {"start": 1551.41, "end": 1551.87, "word": " current", "probability": 0.892578125}, {"start": 1551.87, "end": 1552.59, "word": " referrals", "probability": 0.818359375}, {"start": 1552.59, "end": 1552.93, "word": " whom", "probability": 0.958984375}, {"start": 1552.93, "end": 1553.09, "word": " she", "probability": 0.91357421875}, {"start": 1553.09, "end": 1553.21, "word": " is", "probability": 0.70703125}, {"start": 1553.21, "end": 1553.37, "word": " going", "probability": 0.93896484375}, {"start": 1553.37, "end": 1553.47, "word": " to", "probability": 0.96923828125}, {"start": 1553.47, "end": 1553.77, "word": " provide", "probability": 0.95068359375}, {"start": 1553.77, "end": 1553.91, "word": " to", "probability": 0.822265625}, {"start": 1553.91, "end": 1554.09, "word": " us", "probability": 0.93310546875}, {"start": 1554.09, "end": 1554.27, "word": " in", "probability": 0.8671875}, {"start": 1554.27, "end": 1554.51, "word": " our", "probability": 0.771484375}, {"start": 1554.51, "end": 1555.07, "word": " or", "probability": 0.81640625}, {"start": 1555.07, "end": 1555.23, "word": " in", "probability": 0.8291015625}, {"start": 1555.23, "end": 1555.41, "word": " her", "probability": 0.947265625}, {"start": 1555.41, "end": 1555.65, "word": " CV?", "probability": 0.9892578125}], "temperature": 1.0}, {"id": 60, "seek": 158364, "start": 1556.62, "end": 1583.64, "text": " The answer is no. Why? Because of the time, the applicant or the candidate is going to provide you with three referrals who are going to talk positively on behalf of him or her. What should we do? How? By adopting the technique which is called snowball. How?", "tokens": [440, 1867, 307, 572, 13, 1545, 30, 1436, 295, 264, 565, 11, 264, 30915, 420, 264, 11532, 307, 516, 281, 2893, 291, 365, 1045, 47444, 567, 366, 516, 281, 751, 25795, 322, 9490, 295, 796, 420, 720, 13, 708, 820, 321, 360, 30, 1012, 30, 3146, 32328, 264, 6532, 597, 307, 1219, 46143, 13, 1012, 30], "avg_logprob": -0.19380482456140352, "compression_ratio": 1.446927374301676, "no_speech_prob": 0.0, "words": [{"start": 1556.62, "end": 1556.86, "word": " The", "probability": 0.59619140625}, {"start": 1556.86, "end": 1557.12, "word": " answer", "probability": 0.95361328125}, {"start": 1557.12, "end": 1557.36, "word": " is", "probability": 0.94091796875}, {"start": 1557.36, "end": 1557.6, "word": " no.", "probability": 0.451904296875}, {"start": 1558.56, "end": 1558.88, "word": " Why?", "probability": 0.78564453125}, {"start": 1559.52, "end": 1559.8, "word": " Because", "probability": 0.82421875}, {"start": 1559.8, "end": 1559.94, "word": " of", "probability": 0.80322265625}, {"start": 1559.94, "end": 1560.1, "word": " the", "probability": 0.87646484375}, {"start": 1560.1, "end": 1560.44, "word": " time,", "probability": 0.828125}, {"start": 1560.6, "end": 1560.72, "word": " the", "probability": 0.87451171875}, {"start": 1560.72, "end": 1561.08, "word": " applicant", "probability": 0.93310546875}, {"start": 1561.08, "end": 1561.46, "word": " or", "probability": 0.87060546875}, {"start": 1561.46, "end": 1561.62, "word": " the", "probability": 0.83984375}, {"start": 1561.62, "end": 1561.92, "word": " candidate", "probability": 0.82275390625}, {"start": 1561.92, "end": 1562.18, "word": " is", "probability": 0.87255859375}, {"start": 1562.18, "end": 1562.34, "word": " going", "probability": 0.9384765625}, {"start": 1562.34, "end": 1562.46, "word": " to", "probability": 0.97119140625}, {"start": 1562.46, "end": 1562.84, "word": " provide", "probability": 0.95458984375}, {"start": 1562.84, "end": 1563.1, "word": " you", "probability": 0.94677734375}, {"start": 1563.1, "end": 1563.46, "word": " with", "probability": 0.8935546875}, {"start": 1563.46, "end": 1563.78, "word": " three", "probability": 0.50390625}, {"start": 1563.78, "end": 1564.22, "word": " referrals", "probability": 0.91796875}, {"start": 1564.22, "end": 1565.34, "word": " who", "probability": 0.75439453125}, {"start": 1565.34, "end": 1565.7, "word": " are", "probability": 0.89599609375}, {"start": 1565.7, "end": 1566.04, "word": " going", "probability": 0.935546875}, {"start": 1566.04, "end": 1566.26, "word": " to", "probability": 0.96630859375}, {"start": 1566.26, "end": 1566.52, "word": " talk", "probability": 0.8408203125}, {"start": 1566.52, "end": 1567.08, "word": " positively", "probability": 0.9404296875}, {"start": 1567.08, "end": 1567.36, "word": " on", "probability": 0.92822265625}, {"start": 1567.36, "end": 1567.64, "word": " behalf", "probability": 0.9697265625}, {"start": 1567.64, "end": 1567.8, "word": " of", "probability": 0.9697265625}, {"start": 1567.8, "end": 1568.08, "word": " him", "probability": 0.72998046875}, {"start": 1568.08, "end": 1568.44, "word": " or", "probability": 0.7138671875}, {"start": 1568.44, "end": 1568.8, "word": " her.", "probability": 0.974609375}, {"start": 1570.6, "end": 1570.96, "word": " What", "probability": 0.298828125}, {"start": 1570.96, "end": 1571.26, "word": " should", "probability": 0.95361328125}, {"start": 1571.26, "end": 1571.38, "word": " we", "probability": 0.931640625}, {"start": 1571.38, "end": 1571.66, "word": " do?", "probability": 0.96240234375}, {"start": 1574.5, "end": 1575.08, "word": " How?", "probability": 0.72021484375}, {"start": 1580.38, "end": 1580.96, "word": " By", "probability": 0.720703125}, {"start": 1580.96, "end": 1581.5, "word": " adopting", "probability": 0.9169921875}, {"start": 1581.5, "end": 1581.8, "word": " the", "probability": 0.85107421875}, {"start": 1581.8, "end": 1582.16, "word": " technique", "probability": 0.9072265625}, {"start": 1582.16, "end": 1582.36, "word": " which", "probability": 0.78466796875}, {"start": 1582.36, "end": 1582.52, "word": " is", "probability": 0.94873046875}, {"start": 1582.52, "end": 1582.74, "word": " called", "probability": 0.89697265625}, {"start": 1582.74, "end": 1583.16, "word": " snowball.", "probability": 0.73876953125}, {"start": 1583.36, "end": 1583.64, "word": " How?", "probability": 0.9482421875}], "temperature": 1.0}, {"id": 61, "seek": 160960, "start": 1584.84, "end": 1609.6, "text": " Yes, if a man is mentioning for example that Amna is one of her referrals, we are going to pick up the phone and we are going to contact Amna. Amna, how are you? Etc. Etc. Do you know a candidate whose name is Iman? Etc. How do you know her? What were her responsibilities? How do you think of her character? And so on. And before closing the conversation with her, Amna, would you mind to provide us with another name who used to work with Amany or Iman?", "tokens": [1079, 11, 498, 257, 587, 307, 18315, 337, 1365, 300, 2012, 629, 307, 472, 295, 720, 47444, 11, 321, 366, 516, 281, 1888, 493, 264, 2593, 293, 321, 366, 516, 281, 3385, 2012, 629, 13, 2012, 629, 11, 577, 366, 291, 30, 3790, 66, 13, 3790, 66, 13, 1144, 291, 458, 257, 11532, 6104, 1315, 307, 286, 1601, 30, 3790, 66, 13, 1012, 360, 291, 458, 720, 30, 708, 645, 720, 16190, 30, 1012, 360, 291, 519, 295, 720, 2517, 30, 400, 370, 322, 13, 400, 949, 10377, 264, 3761, 365, 720, 11, 2012, 629, 11, 576, 291, 1575, 281, 2893, 505, 365, 1071, 1315, 567, 1143, 281, 589, 365, 2012, 1325, 420, 286, 1601, 30], "avg_logprob": -0.18082265008209097, "compression_ratio": 1.7272727272727273, "no_speech_prob": 0.0, "words": [{"start": 1584.8400000000001, "end": 1585.2, "word": " Yes,", "probability": 0.73974609375}, {"start": 1585.92, "end": 1586.12, "word": " 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If the new statement from the new referral confirms the answer of Amna, this means that she is in the safe ground. But if the new statement isn't matching with the statement of Amna, then a red flag must be raised, which means we need to search more and more. That's it.", "tokens": [1240, 307, 516, 281, 2893, 505, 365, 257, 777, 33494, 2051, 365, 702, 420, 720, 2593, 1230, 300, 1943, 380, 10052, 294, 720, 22995, 13, 759, 264, 777, 5629, 490, 264, 777, 33494, 39982, 264, 1867, 295, 2012, 629, 11, 341, 1355, 300, 750, 307, 294, 264, 3273, 2727, 13, 583, 498, 264, 777, 5629, 1943, 380, 14324, 365, 264, 5629, 295, 2012, 629, 11, 550, 257, 2182, 7166, 1633, 312, 6005, 11, 597, 1355, 321, 643, 281, 3164, 544, 293, 544, 13, 663, 311, 309, 13], "avg_logprob": -0.1476384944875132, "compression_ratio": 1.7285067873303168, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1610.7, "end": 1610.96, "word": " She", "probability": 0.5234375}, {"start": 1610.96, "end": 1611.08, "word": " is", "probability": 0.54736328125}, {"start": 1611.08, "end": 1611.28, "word": " going", "probability": 0.9306640625}, {"start": 1611.28, "end": 1611.42, "word": " to", "probability": 0.97021484375}, {"start": 1611.42, "end": 1611.64, "word": " provide", 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Any question or comments about that? This is very important. Don't ever be satisfied by the statements which you are going to get from the referrals who are listed in the CV of the candidate. Clear? One thing which is important. All the time remember, your GPA, your transcript, your certificate.", "tokens": [14993, 30, 2639, 1168, 420, 3053, 466, 300, 30, 639, 307, 588, 1021, 13, 1468, 380, 1562, 312, 11239, 538, 264, 12363, 597, 291, 366, 516, 281, 483, 490, 264, 47444, 567, 366, 10052, 294, 264, 22995, 295, 264, 11532, 13, 14993, 30, 1485, 551, 597, 307, 1021, 13, 1057, 264, 565, 1604, 11, 428, 41321, 11, 428, 24444, 11, 428, 15953, 13], "avg_logprob": -0.21582031063735485, "compression_ratio": 1.5276381909547738, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1641.11, "end": 1641.45, "word": " Clear?", "probability": 0.59326171875}, {"start": 1642.17, "end": 1642.37, "word": " Any", "probability": 0.7919921875}, {"start": 1642.37, "end": 1642.71, "word": " question", "probability": 0.55322265625}, {"start": 1642.71, "end": 1642.83, "word": " or", "probability": 0.560546875}, {"start": 1642.83, "end": 1643.07, "word": " comments", "probability": 0.57275390625}, {"start": 1643.07, "end": 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Because of this, you as HR, all these things, sometimes they might be misleading. Sometimes they might be misleading. 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"end": 1722.95, "text": " We have to dig in the character of this candidate. How? By a good referral check. Employment chances, sometimes we might not attract candidates. Who are going to attract the candidates? Employment chances. When can we depend on this technique? If our firm is small and we do not have HR department.", "tokens": [492, 362, 281, 2528, 294, 264, 2517, 295, 341, 11532, 13, 1012, 30, 3146, 257, 665, 33494, 1520, 13, 26878, 518, 10486, 11, 2171, 321, 1062, 406, 5049, 11255, 13, 2102, 366, 516, 281, 5049, 264, 11255, 30, 26878, 518, 10486, 13, 1133, 393, 321, 5672, 322, 341, 6532, 30, 759, 527, 6174, 307, 1359, 293, 321, 360, 406, 362, 19460, 5882, 13], "avg_logprob": -0.20190430409274995, "compression_ratio": 1.5736842105263158, "no_speech_prob": 0.0, "words": [{"start": 1697.79, "end": 1698.03, "word": " We", "probability": 0.54931640625}, {"start": 1698.03, "end": 1698.17, "word": " have", "probability": 0.837890625}, {"start": 1698.17, "end": 1698.29, "word": " to", "probability": 0.9716796875}, {"start": 1698.29, "end": 1698.47, "word": " dig", "probability": 0.794921875}, {"start": 1698.47, "end": 1698.65, "word": " in", "probability": 0.822265625}, {"start": 1698.65, "end": 1698.89, "word": " the", "probability": 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This technique is very widely applicable in the Gulf States and in America. But here in Palestine, we do not follow it. A third technique is school and colleges. How? 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Number one, she lived with us for about four months and we know each other very good way.", "tokens": [1407, 3496, 3097, 294, 257, 2685, 2237, 420, 4475, 1062, 1269, 264, 2853, 337, 291, 281, 483, 257, 10996, 1691, 934, 428, 15652, 13, 5126, 295, 264, 16744, 436, 366, 516, 281, 584, 321, 576, 411, 281, 3188, 720, 11, 983, 30, 5118, 472, 11, 750, 5152, 365, 505, 337, 466, 1451, 2493, 293, 321, 458, 1184, 661, 588, 665, 636, 13], "avg_logprob": -0.18179563019010755, "compression_ratio": 1.4825870646766168, "no_speech_prob": 0.0, "words": [{"start": 1827.19, "end": 1827.41, "word": " To", "probability": 0.62451171875}, {"start": 1827.41, "end": 1827.71, "word": " spend", "probability": 0.84814453125}, {"start": 1827.71, "end": 1828.21, "word": " training", "probability": 0.7470703125}, {"start": 1828.21, "end": 1828.39, "word": " in", "probability": 0.88134765625}, {"start": 1828.39, "end": 1828.51, "word": " a", "probability": 0.9404296875}, {"start": 1828.51, "end": 1828.81, "word": " 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Therefore, be smart for selecting the organization which you would like to train in, and all the time try to demonstrate yourself in your retraining period. Any questions? Any comments? I am not speaking or talking hypothetically. 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Okay, let's go to the customer, let's go on to something else. This is read it at your home, look at this. This is a roadmap for how we are going to build our recruitment process. Our recruitment process all the time, it begins by advertisement. 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If we are going to compare the Americans with the Japanese and the Chinese, they are different. The Japanese and Chinese, they are similar to us. They believe in the culture of saving. Therefore, the American, even if they are employed, if they would like to purchase a car or if they would like to get married or if they would like to buy a house, they are going to need what?", "tokens": [814, 362, 472, 49923, 11, 597, 307, 11, 436, 360, 406, 3155, 13, 759, 321, 366, 516, 281, 6794, 264, 6280, 365, 264, 5433, 293, 264, 4649, 11, 436, 366, 819, 13, 440, 5433, 293, 4649, 11, 436, 366, 2531, 281, 505, 13, 814, 1697, 294, 264, 3713, 295, 6816, 13, 7504, 11, 264, 2665, 11, 754, 498, 436, 366, 20115, 11, 498, 436, 576, 411, 281, 8110, 257, 1032, 420, 498, 436, 576, 411, 281, 483, 5259, 420, 498, 436, 576, 411, 281, 2256, 257, 1782, 11, 436, 366, 516, 281, 643, 437, 30], "avg_logprob": -0.18945311894640326, "compression_ratio": 1.9411764705882353, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 1995.62, "end": 1995.9, "word": " They", "probability": 0.54931640625}, {"start": 1995.9, "end": 1996.16, "word": " have", "probability": 0.90673828125}, {"start": 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And the loan is going to come from the bank and this is going to be reflected by his or her credit history. The credit history and the loan, all of them are connected with one word which is called social security number. And the social security number in America is equivalent to what we have here which is ID number.", "tokens": [316, 10529, 13, 400, 264, 10529, 307, 516, 281, 808, 490, 264, 3765, 293, 341, 307, 516, 281, 312, 15502, 538, 702, 420, 720, 5397, 2503, 13, 440, 5397, 2503, 293, 264, 10529, 11, 439, 295, 552, 366, 4582, 365, 472, 1349, 597, 307, 1219, 2093, 3825, 1230, 13, 400, 264, 2093, 3825, 1230, 294, 3374, 307, 10344, 281, 437, 321, 362, 510, 597, 307, 7348, 1230, 13], "avg_logprob": -0.21773097480552783, "compression_ratio": 1.7717391304347827, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 2023.78, "end": 2024.04, "word": " A", "probability": 0.6318359375}, {"start": 2024.04, "end": 2024.34, "word": " loan.", "probability": 0.91650390625}, {"start": 2024.98, "end": 2025.18, "word": " And", "probability": 0.432861328125}, {"start": 2025.18, "end": 2025.26, "word": " the", "probability": 0.65185546875}, {"start": 2025.26, "end": 2025.42, "word": " loan", "probability": 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the candidates. If the history shows, of course all the histories, they are going to include what? Loan histories. This is their culture. 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So how should we expect he is going to organize his professional work in our company? Therefore, they are going to delete him or her from the candidacy. In contrast with the Americans who are paying regularly their own credits and loans. Clear? 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Now, after they are going to pass this barrier of the checking background, we are going to look at a complete psychological and chemical test, which isn't applicable here. What is applicable is a test. And the test, all the time it comes before, this is in our culture. 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Somebody is going to say, why do we need to make extra secondary interview? If the members of the interviewers do not have a collective decision. In other words, two interviewers said we need this person and the third said no. 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And later on we are going to make offer, the offer of employment and then we are going to make physical examination. Physical examination is something very important. 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We explained this last time. Therefore, you must insist on subjecting all the candidates on strict physical examination. And finally, the options are wide, sometimes any failure.", "tokens": [639, 307, 257, 24069, 6146, 13, 492, 8825, 341, 1036, 565, 13, 7504, 11, 291, 1633, 13466, 322, 3983, 278, 439, 264, 11255, 322, 10910, 4001, 23874, 13, 400, 2721, 11, 264, 3956, 366, 4874, 11, 2171, 604, 7763, 13], "avg_logprob": -0.2808688908088498, "compression_ratio": 1.36, "no_speech_prob": 0.0, "words": [{"start": 2205.93, "end": 2206.27, "word": " This", "probability": 0.470703125}, {"start": 2206.27, "end": 2206.37, "word": " is", "probability": 0.91015625}, {"start": 2206.37, "end": 2206.51, "word": " a", "probability": 0.90380859375}, {"start": 2206.51, "end": 2206.69, "word": " fatal", "probability": 0.96875}, {"start": 2206.69, "end": 2207.11, "word": " mistake.", "probability": 0.93994140625}, {"start": 2207.29, "end": 2207.43, "word": " We", "probability": 0.78759765625}, {"start": 2207.43, "end": 2207.85, "word": " explained", "probability": 0.74853515625}, {"start": 2207.85, "end": 2208.15, "word": " this", "probability": 0.82275390625}, {"start": 2208.15, "end": 2208.47, "word": " last", "probability": 0.8681640625}, {"start": 2208.47, "end": 2208.77, "word": " time.", "probability": 0.8701171875}, {"start": 2209.81, "end": 2210.25, "word": " Therefore,", "probability": 0.65478515625}, {"start": 2210.41, "end": 2210.53, "word": " you", "probability": 0.9365234375}, {"start": 2210.53, "end": 2210.85, "word": " must", "probability": 0.84814453125}, {"start": 2210.85, "end": 2211.35, "word": " insist", "probability": 0.92529296875}, {"start": 2211.35, "end": 2211.81, "word": " on", "probability": 0.91943359375}, {"start": 2211.81, "end": 2212.55, "word": " subjecting", "probability": 0.977783203125}, {"start": 2212.55, "end": 2212.73, "word": " all", "probability": 0.91748046875}, {"start": 2212.73, "end": 2212.87, "word": " the", "probability": 0.70654296875}, {"start": 2212.87, "end": 2213.17, "word": " candidates", "probability": 0.9248046875}, {"start": 2213.17, "end": 2213.47, "word": " on", "probability": 0.6767578125}, {"start": 2213.47, "end": 2213.97, "word": " strict", "probability": 0.919921875}, {"start": 2213.97, "end": 2214.93, "word": " physical", "probability": 0.8388671875}, {"start": 2214.93, "end": 2215.45, "word": " examination.", "probability": 0.64599609375}, {"start": 2216.69, "end": 2216.79, "word": " And", "probability": 0.486083984375}, {"start": 2216.79, "end": 2217.27, "word": " finally,", "probability": 0.82958984375}, {"start": 2220.81, "end": 2221.53, "word": " the", "probability": 0.419189453125}, {"start": 2221.53, "end": 2222.49, "word": " options", "probability": 0.9208984375}, {"start": 2222.49, "end": 2222.91, "word": " are", "probability": 0.91552734375}, {"start": 2222.91, "end": 2223.45, "word": " wide,", "probability": 0.7138671875}, {"start": 2223.57, "end": 2224.25, "word": " sometimes", "probability": 0.87060546875}, {"start": 2224.25, "end": 2225.01, "word": " any", "probability": 0.273193359375}, {"start": 2225.01, "end": 2225.45, "word": " failure.", "probability": 0.92333984375}], "temperature": 1.0}, {"id": 86, "seek": 225508, "start": 2226.38, "end": 2255.08, "text": " And one out of the previous steps might lead to rejection. Or sometimes we are going to lead him and hire him or her. So this is the roadmap for selection. Final thing. Let's repeat what we said. Application. Why do we need application? To get one thing, which is information. 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Information is required by what management? We are talking about two kinds of information. Number one, we called it education background. And number two, we called it employment record. These are the most important things which we are looking for. These are the two important kinds of information which we are looking for in the application. Final word, final advice. So this is very important. 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They are going to lie, they are not going to say the truth. Why? For various reasons. Then as HR, how we are going to reveal if they are honest or dishonest? 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If their answers are unsystematic, it means they are dishonest. So, your advice is the following. When you are going to fill an application to apply for a job, before you are going to be invited to an interview, please read the application once again. 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