video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/be8492a9d81d8eab537bb23c3956575d15c44cfb23388520d632f63170caf1dfa6fda1f50879ef4a5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
蘇清泉 |
委員發言時間 |
13:07:57 - 13:18:07 |
影片長度 |
610 |
會議時間 |
2024-11-20T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期社會福利及衛生環境委員會第9次全體委員會議(事由:邀請勞動部部長、銓敘部、國防部、內政部警政署、內政部消防署、行政院人事行政總處、考試院、公務人員保障暨培訓委員會、教育部及國家科學及技術委員會就「職場霸凌防治與處理作業」進行專題報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
8.46846875 |
transcript.pyannote[0].end |
10.91534375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
11.43846875 |
transcript.pyannote[1].end |
11.92784375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
12.45096875 |
transcript.pyannote[2].end |
13.95284375 |
transcript.pyannote[3].speaker |
SPEAKER_02 |
transcript.pyannote[3].start |
14.66159375 |
transcript.pyannote[3].end |
14.89784375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
19.89284375 |
transcript.pyannote[4].end |
24.43221875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
26.87909375 |
transcript.pyannote[5].end |
30.82784375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
32.43096875 |
transcript.pyannote[6].end |
38.26971875 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
38.87721875 |
transcript.pyannote[7].end |
41.66159375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
42.26909375 |
transcript.pyannote[8].end |
45.47534375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
46.08284375 |
transcript.pyannote[9].end |
50.36909375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
50.67284375 |
transcript.pyannote[10].end |
78.78659375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
79.56284375 |
transcript.pyannote[11].end |
81.08159375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
81.82409375 |
transcript.pyannote[12].end |
84.05159375 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
84.92909375 |
transcript.pyannote[13].end |
86.31284375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
86.95409375 |
transcript.pyannote[14].end |
91.07159375 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
91.69596875 |
transcript.pyannote[15].end |
108.97596875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
109.85346875 |
transcript.pyannote[16].end |
112.03034375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
113.24534375 |
transcript.pyannote[17].end |
114.73034375 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
115.35471875 |
transcript.pyannote[18].end |
120.14721875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
120.95721875 |
transcript.pyannote[19].end |
122.07096875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
122.79659375 |
transcript.pyannote[20].end |
123.67409375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
125.63159375 |
transcript.pyannote[21].end |
126.35721875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
126.57659375 |
transcript.pyannote[22].end |
127.33596875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
127.74096875 |
transcript.pyannote[23].end |
128.55096875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
129.54659375 |
transcript.pyannote[24].end |
130.20471875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
130.44096875 |
transcript.pyannote[25].end |
145.54409375 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
146.40471875 |
transcript.pyannote[26].end |
178.01159375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
177.52221875 |
transcript.pyannote[27].end |
181.47096875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
182.73659375 |
transcript.pyannote[28].end |
182.98971875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
183.52971875 |
transcript.pyannote[29].end |
184.84596875 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
183.56346875 |
transcript.pyannote[30].end |
184.10346875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
185.57159375 |
transcript.pyannote[31].end |
190.43159375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
186.60096875 |
transcript.pyannote[32].end |
188.49096875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
190.51596875 |
transcript.pyannote[33].end |
192.74346875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
190.65096875 |
transcript.pyannote[34].end |
191.24159375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
192.57471875 |
transcript.pyannote[35].end |
196.62471875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
195.98346875 |
transcript.pyannote[36].end |
199.12221875 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
200.52284375 |
transcript.pyannote[37].end |
201.02909375 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
205.51784375 |
transcript.pyannote[38].end |
205.63596875 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
205.75409375 |
transcript.pyannote[39].end |
206.02409375 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
206.44596875 |
transcript.pyannote[40].end |
206.96909375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
206.96909375 |
transcript.pyannote[41].end |
207.50909375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
207.96471875 |
transcript.pyannote[42].end |
209.63534375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
210.17534375 |
transcript.pyannote[43].end |
213.46596875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
213.83721875 |
transcript.pyannote[44].end |
216.41909375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
217.19534375 |
transcript.pyannote[45].end |
221.26221875 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
224.94096875 |
transcript.pyannote[46].end |
226.12221875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
227.50596875 |
transcript.pyannote[47].end |
228.11346875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
228.13034375 |
transcript.pyannote[48].end |
228.14721875 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
228.14721875 |
transcript.pyannote[49].end |
229.49721875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
229.17659375 |
transcript.pyannote[50].end |
232.02846875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
232.36596875 |
transcript.pyannote[51].end |
234.28971875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
236.28096875 |
transcript.pyannote[52].end |
237.64784375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
238.40721875 |
transcript.pyannote[53].end |
239.08221875 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
239.25096875 |
transcript.pyannote[54].end |
247.31721875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
248.07659375 |
transcript.pyannote[55].end |
249.13971875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
249.83159375 |
transcript.pyannote[56].end |
250.82721875 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
251.21534375 |
transcript.pyannote[57].end |
255.24846875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
256.31159375 |
transcript.pyannote[58].end |
257.62784375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
259.11284375 |
transcript.pyannote[59].end |
260.81721875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
263.02784375 |
transcript.pyannote[60].end |
273.22034375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
273.42284375 |
transcript.pyannote[61].end |
278.19846875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
278.50221875 |
transcript.pyannote[62].end |
284.91471875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
285.60659375 |
transcript.pyannote[63].end |
291.24284375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
292.28909375 |
transcript.pyannote[64].end |
300.18659375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
301.70534375 |
transcript.pyannote[65].end |
304.75971875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
305.73846875 |
transcript.pyannote[66].end |
310.36221875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
311.08784375 |
transcript.pyannote[67].end |
321.29721875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
321.82034375 |
transcript.pyannote[68].end |
325.58346875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
326.05596875 |
transcript.pyannote[69].end |
327.96284375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
326.08971875 |
transcript.pyannote[70].end |
326.98409375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
328.50284375 |
transcript.pyannote[71].end |
332.02971875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
332.60346875 |
transcript.pyannote[72].end |
335.05034375 |
transcript.pyannote[73].speaker |
SPEAKER_00 |
transcript.pyannote[73].start |
335.45534375 |
transcript.pyannote[73].end |
336.67034375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
337.14284375 |
transcript.pyannote[74].end |
341.27721875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
342.12096875 |
transcript.pyannote[75].end |
343.33596875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
344.01096875 |
transcript.pyannote[76].end |
345.36096875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
345.78284375 |
transcript.pyannote[77].end |
348.29721875 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
348.80346875 |
transcript.pyannote[78].end |
351.73971875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
352.44846875 |
transcript.pyannote[79].end |
355.68846875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
356.17784375 |
transcript.pyannote[80].end |
383.46471875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
383.61659375 |
transcript.pyannote[81].end |
385.50659375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
385.79346875 |
transcript.pyannote[82].end |
388.02096875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
388.71284375 |
transcript.pyannote[83].end |
392.12159375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
392.86409375 |
transcript.pyannote[84].end |
398.83784375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
399.41159375 |
transcript.pyannote[85].end |
400.42409375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
400.81221875 |
transcript.pyannote[86].end |
402.97221875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
403.78221875 |
transcript.pyannote[87].end |
416.48909375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
418.63221875 |
transcript.pyannote[88].end |
419.59409375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
420.16784375 |
transcript.pyannote[89].end |
420.92721875 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
420.99471875 |
transcript.pyannote[90].end |
421.65284375 |
transcript.pyannote[91].speaker |
SPEAKER_02 |
transcript.pyannote[91].start |
422.34471875 |
transcript.pyannote[91].end |
423.67784375 |
transcript.pyannote[92].speaker |
SPEAKER_02 |
transcript.pyannote[92].start |
423.96471875 |
transcript.pyannote[92].end |
428.50409375 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
430.42784375 |
transcript.pyannote[93].end |
438.61221875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
438.93284375 |
transcript.pyannote[94].end |
440.36721875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
441.10971875 |
transcript.pyannote[95].end |
445.81784375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
446.44221875 |
transcript.pyannote[96].end |
450.15471875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
450.37409375 |
transcript.pyannote[97].end |
454.40721875 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
452.95596875 |
transcript.pyannote[98].end |
454.86284375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
454.86284375 |
transcript.pyannote[99].end |
461.79846875 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
459.87471875 |
transcript.pyannote[100].end |
460.27971875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
460.27971875 |
transcript.pyannote[101].end |
460.34721875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
461.83221875 |
transcript.pyannote[102].end |
466.47284375 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
462.15284375 |
transcript.pyannote[103].end |
462.42284375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
463.58721875 |
transcript.pyannote[104].end |
463.65471875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
464.00909375 |
transcript.pyannote[105].end |
464.07659375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
467.16471875 |
transcript.pyannote[106].end |
467.75534375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
468.26159375 |
transcript.pyannote[107].end |
479.11221875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
480.15846875 |
transcript.pyannote[108].end |
481.82909375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
482.16659375 |
transcript.pyannote[109].end |
484.71471875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
487.51596875 |
transcript.pyannote[110].end |
490.03034375 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
490.63784375 |
transcript.pyannote[111].end |
493.23659375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
494.09721875 |
transcript.pyannote[112].end |
496.86471875 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
497.23596875 |
transcript.pyannote[113].end |
501.03284375 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
502.24784375 |
transcript.pyannote[114].end |
505.43721875 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
505.82534375 |
transcript.pyannote[115].end |
507.85034375 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
509.03159375 |
transcript.pyannote[116].end |
509.67284375 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
510.17909375 |
transcript.pyannote[117].end |
514.70159375 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
515.78159375 |
transcript.pyannote[118].end |
518.66721875 |
transcript.pyannote[119].speaker |
SPEAKER_02 |
transcript.pyannote[119].start |
519.57846875 |
transcript.pyannote[119].end |
520.79346875 |
transcript.pyannote[120].speaker |
SPEAKER_02 |
transcript.pyannote[120].start |
521.33346875 |
transcript.pyannote[120].end |
522.12659375 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
522.68346875 |
transcript.pyannote[121].end |
523.78034375 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
526.17659375 |
transcript.pyannote[122].end |
527.96534375 |
transcript.pyannote[123].speaker |
SPEAKER_02 |
transcript.pyannote[123].start |
529.33221875 |
transcript.pyannote[123].end |
530.37846875 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
531.61034375 |
transcript.pyannote[124].end |
532.04909375 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
532.72409375 |
transcript.pyannote[125].end |
533.88846875 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
537.95534375 |
transcript.pyannote[126].end |
541.81971875 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
542.32596875 |
transcript.pyannote[127].end |
544.75596875 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
545.61659375 |
transcript.pyannote[128].end |
547.86096875 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
548.46846875 |
transcript.pyannote[129].end |
550.15596875 |
transcript.pyannote[130].speaker |
SPEAKER_02 |
transcript.pyannote[130].start |
551.97846875 |
transcript.pyannote[130].end |
554.79659375 |
transcript.pyannote[131].speaker |
SPEAKER_02 |
transcript.pyannote[131].start |
555.52221875 |
transcript.pyannote[131].end |
557.04096875 |
transcript.pyannote[132].speaker |
SPEAKER_02 |
transcript.pyannote[132].start |
558.91409375 |
transcript.pyannote[132].end |
559.69034375 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
560.02784375 |
transcript.pyannote[133].end |
562.64346875 |
transcript.pyannote[134].speaker |
SPEAKER_02 |
transcript.pyannote[134].start |
563.41971875 |
transcript.pyannote[134].end |
566.98034375 |
transcript.pyannote[135].speaker |
SPEAKER_02 |
transcript.pyannote[135].start |
568.12784375 |
transcript.pyannote[135].end |
570.67596875 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
573.02159375 |
transcript.pyannote[136].end |
576.04221875 |
transcript.pyannote[137].speaker |
SPEAKER_02 |
transcript.pyannote[137].start |
576.85221875 |
transcript.pyannote[137].end |
579.02909375 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
579.90659375 |
transcript.pyannote[138].end |
581.39159375 |
transcript.pyannote[139].speaker |
SPEAKER_02 |
transcript.pyannote[139].start |
581.52659375 |
transcript.pyannote[139].end |
582.74159375 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
586.01534375 |
transcript.pyannote[140].end |
586.82534375 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
587.97284375 |
transcript.pyannote[141].end |
588.64784375 |
transcript.pyannote[142].speaker |
SPEAKER_02 |
transcript.pyannote[142].start |
589.18784375 |
transcript.pyannote[142].end |
590.85846875 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
592.54596875 |
transcript.pyannote[143].end |
593.17034375 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
593.44034375 |
transcript.pyannote[144].end |
595.04346875 |
transcript.pyannote[145].speaker |
SPEAKER_02 |
transcript.pyannote[145].start |
596.76471875 |
transcript.pyannote[145].end |
596.86596875 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
597.15284375 |
transcript.pyannote[146].end |
597.60846875 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
598.63784375 |
transcript.pyannote[147].end |
601.55721875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
604.12221875 |
transcript.pyannote[148].end |
604.61159375 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
605.25284375 |
transcript.pyannote[149].end |
607.71659375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
606.87284375 |
transcript.pyannote[150].end |
606.97409375 |
transcript.whisperx[0].start |
8.482 |
transcript.whisperx[0].end |
29.957 |
transcript.whisperx[0].text |
好 謝謝主席 我請國防部次長 楊次長好 請國防部次長次長 所有人好我給部長寫下一個啦 我看他是店嘛有人說這個案件是洪仲修的2.0版 |
transcript.whisperx[1].start |
32.455 |
transcript.whisperx[1].end |
48.546 |
transcript.whisperx[1].text |
你們那個國防部以前洪仲秋這個案子我很注意那個書叫做不當管教不當管教後來檢調查了是我們指揮官也被拔掉了所以你對於勞動部這一次的事情 |
transcript.whisperx[2].start |
49.306 |
transcript.whisperx[2].end |
78.259 |
transcript.whisperx[2].text |
你的看法怎麼樣?報告召委,這個勞動部的這個事情我實在是不便發表個人的在這個地方發表個人的看法但是對於洪仲秋這個事情的確是一個令人遺憾的事情那國防部對這個事情發生之後我們也做了相關的檢討那不管是司法調查或是我們自己內部調查方面都還給這個事情都把這個事情給還原了把這個事情的真相給釐清了那跟召委報告 |
transcript.whisperx[3].start |
79.983 |
transcript.whisperx[3].end |
83.533 |
transcript.whisperx[3].text |
我們軍中還有我們警察、警戒 |
transcript.whisperx[4].start |
85.083 |
transcript.whisperx[4].end |
111.459 |
transcript.whisperx[4].text |
還有我們的外交部都一直層出不窮傳出很多海外的像橫濱的處長也是自殺身亡那當然跟我們派在那邊的大使有沒有關係大家各說各話然後巴西外館也出問題那警察裡面像屏東也有警察所長跟警員 |
transcript.whisperx[5].start |
113.314 |
transcript.whisperx[5].end |
128.371 |
transcript.whisperx[5].text |
吵吵鬧鬧什麼都有所以對於這種公務體系的這種失控跟脫序的行為我們軍中看法怎麼樣你們要怎麼做往後怎麼做 |
transcript.whisperx[6].start |
130.632 |
transcript.whisperx[6].end |
141.701 |
transcript.whisperx[6].text |
這個合理的管教包括委員合理的管教還有這個善待部署照顧官兵這是我們國防部一直在努力的目標那也跟各位委員還有各位委員報告這個軍隊是一個跟民間 |
transcript.whisperx[7].start |
146.445 |
transcript.whisperx[7].end |
165.536 |
transcript.whisperx[7].text |
或是公部門管理有點區隔的這個管理的方式是有點區隔的因為我們講求的是絕對服從我們的軍人將來在戰場上面一定要執行保國衛民的責任在某種訓練上面我們要講求絕對服從在某種管理上面我們也必須要嚴格有相當的紀律這個要特別跟委員做報告了 |
transcript.whisperx[8].start |
165.916 |
transcript.whisperx[8].end |
166.837 |
transcript.whisperx[8].text |
我當海軍陸戰隊的我們以前叫合理的叫做 |
transcript.whisperx[9].start |
183.606 |
transcript.whisperx[9].end |
183.946 |
transcript.whisperx[9].text |
那部長請上來吧 |
transcript.whisperx[10].start |
206.6 |
transcript.whisperx[10].end |
234.005 |
transcript.whisperx[10].text |
你好你今天剛才曾經霸凌520今天11月20號剛才霸凌霸凌裡面你覺得你自己我看你是盡心盡力啦你自己這樣分手我扒過分我想我不及格啦我承認我不及格我覺得這件事情你的部分我查理 |
transcript.whisperx[11].start |
236.754 |
transcript.whisperx[11].end |
257.774 |
transcript.whisperx[11].text |
會否發生事情有人向你通報有沒有人通報給你如果你都不知道被資訊被Block掉那你就無理直言那時候知道說這個資訊這個反應有起的那你沒處理那你就你不對了那你感覺你是怎樣你是完全不知道還是 |
transcript.whisperx[12].start |
263.32 |
transcript.whisperx[12].end |
284.224 |
transcript.whisperx[12].text |
早上一直執行到現在聽太多了聽太多了有的是說他這個分署長肚子很硬什麼不管我有去查啦他的身家背景、他的娘家、他的婆家我已經都查了我那不錯啦我那經濟民情好沒做這個討論沒吃這個討論也沒關係啦也沒關係齁所以在這裡是在表演在做表演就對了 |
transcript.whisperx[13].start |
292.355 |
transcript.whisperx[13].end |
299.838 |
transcript.whisperx[13].text |
那你如果說你當部長是政務官是要對政策負責那裡面的內控 |
transcript.whisperx[14].start |
302.295 |
transcript.whisperx[14].end |
326.87 |
transcript.whisperx[14].text |
這些下面反映的事情你是怎麼來接受這些管道或者是如果你沒有再繼續因為太龐大了 人員太多了就一個勞動發展署就包括業聘僱人員就有兩千多人那是很多啊 怕死人喔所有的員額裡面真的公務人員占不到四分之一其他都是業聘僱的 |
transcript.whisperx[15].start |
328.567 |
transcript.whisperx[15].end |
354.66 |
transcript.whisperx[15].text |
那我們公務體系的業聘僱人員真的養太多了而且那個勞動條件也不太好待遇也不太好像我們食藥署在邊境查驗的資訊都很假的每天都被窮犯在海關那裡寸步難行那我們勞動力發展署這邊或是勞動部這邊如果是有這樣子的話我是覺得要檢討啦 |
transcript.whisperx[16].start |
356.243 |
transcript.whisperx[16].end |
372.017 |
transcript.whisperx[16].text |
那如果是薪水太低也要給人家高啦那我覺得公務人員齁我這裡要跟大家肯定啦大家都磕磕磕磕到要死啊磕磕磕到要死要來這裡上這個班齁那薪水也不在外面啦在外在醫療這個空間這薪水實在是無關啦齁 |
transcript.whisperx[17].start |
373.218 |
transcript.whisperx[17].end |
391.591 |
transcript.whisperx[17].text |
每天在那裡拖廊我就覺得很不捨很不捨我看健保署裡面那些員工也都是蠻累的也不能申請加班費我們在外面的財團法院或社團法院的醫院那個申請加班是沒有人敢擋的 |
transcript.whisperx[18].start |
392.898 |
transcript.whisperx[18].end |
415.009 |
transcript.whisperx[18].text |
那你們勞動部是在要求人家的職業安全條件的結果你們裡面都是過勞三更半夜在發LINE我不敢三更半夜給我們的員工發LINE我怕人家給我投訴你這樣三個半夜發LINE亂搞一通然後還要十分鐘回覆有這種事嗎 部長 |
transcript.whisperx[19].start |
418.689 |
transcript.whisperx[19].end |
423.17 |
transcript.whisperx[19].text |
所以這個心理教育因為這個文書黨本身我看是念社工的嘛 |
transcript.whisperx[20].start |
446.539 |
transcript.whisperx[20].end |
474.976 |
transcript.whisperx[20].text |
是劣色功德應該同理心很強齁所以我看你要整個系統要檢討啦當然那是系統的問題為你的次長、為你的署長都要一個一個檢討整個系統要檢查不然的話這個還是會出事啦我看還是會出事齁所以今天這樣你自己已經半年半年就任半年齁你自己打不及格我是給你鼓勵啦齁 |
transcript.whisperx[21].start |
475.936 |
transcript.whisperx[21].end |
480.4 |
transcript.whisperx[21].text |
這次教訓是一個很有意義的教訓我想我出來勞動部我也是第一次進到行政部門 |
transcript.whisperx[22].start |
502.301 |
transcript.whisperx[22].end |
523.117 |
transcript.whisperx[22].text |
那麼對龐大的官僚體系其實我是陌生的所以我也非常介乘恐懼那麼我期待跟文官之間發展出一個合作友善的關係可是我也忽略了文官體制之間有難以掌控的陋習或者是惡習乃至於我不曾想像的我早上講的 |
transcript.whisperx[23].start |
531.673 |
transcript.whisperx[23].end |
556.79 |
transcript.whisperx[23].text |
那個邪惡的問題那整個文官體制跟我們當今的民主政治體制之間又存在著非常大的鴻溝跟落差我們的社群網路媒體政治對於我們的文官體制的凌遲跟剝削也是不遑多讓的我親眼看到我的文官 |
transcript.whisperx[24].start |
558.936 |
transcript.whisperx[24].end |
561.997 |
transcript.whisperx[24].text |
我希望從我這個例子可以提醒大家看到這裡面的問題那我當然 |
transcript.whisperx[25].start |
587.978 |
transcript.whisperx[25].end |
587.998 |
transcript.whisperx[25].text |
謝謝委員謝謝 |
IVOD_ID |
157190 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/157190 |
日期 |
2024-11-20 |
會議資料.會議代碼 |
委員會-11-2-26-9 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
9 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
26 |
會議資料.標題 |
第11屆第2會期社會福利及衛生環境委員會第9次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-11-20T13:07:57+08:00 |
結束時間 |
2024-11-20T13:18:07+08:00 |
支援功能[0] |
ai-transcript |