IVOD_ID |
159955 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/159955 |
日期 |
2025-04-09 |
會議資料.會議代碼 |
委員會-11-3-26-5 |
會議資料.會議代碼:str |
第11屆第3會期社會福利及衛生環境委員會第5次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
5 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
26 |
會議資料.委員會代碼:str[0] |
社會福利及衛生環境委員會 |
會議資料.標題 |
第11屆第3會期社會福利及衛生環境委員會第5次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-09T10:35:43+08:00 |
結束時間 |
2025-04-09T10:47:42+08:00 |
影片長度 |
00:11:59 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/984603a5a250cdcedae333115c56c2f1a9dd72f8e909e2236e4b1f34053c89deef8a19ad8d4174405ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
邱鎮軍 |
委員發言時間 |
10:35:43 - 10:47:42 |
會議時間 |
2025-04-09T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期社會福利及衛生環境委員會第5次全體委員會議(事由:邀請勞動部部長對於「勞動部所屬基金違規使用如何追回及究責」進行專題報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
21.15846875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
1.02659375 |
transcript.pyannote[1].end |
1.33034375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
2.14034375 |
transcript.pyannote[2].end |
5.46471875 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
21.61409375 |
transcript.pyannote[3].end |
22.91346875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
22.96409375 |
transcript.pyannote[4].end |
23.04846875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
23.13284375 |
transcript.pyannote[5].end |
26.47409375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
26.94659375 |
transcript.pyannote[6].end |
28.88721875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
28.97159375 |
transcript.pyannote[7].end |
29.83221875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
30.57471875 |
transcript.pyannote[8].end |
34.72596875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
33.05534375 |
transcript.pyannote[9].end |
33.81471875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
36.31221875 |
transcript.pyannote[10].end |
37.13909375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
37.88159375 |
transcript.pyannote[11].end |
38.11784375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
38.45534375 |
transcript.pyannote[12].end |
41.10471875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
42.62346875 |
transcript.pyannote[13].end |
43.61909375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
44.00721875 |
transcript.pyannote[14].end |
44.32784375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
44.71596875 |
transcript.pyannote[15].end |
46.06596875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
47.39909375 |
transcript.pyannote[16].end |
48.66471875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
49.05284375 |
transcript.pyannote[17].end |
49.71096875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
50.14971875 |
transcript.pyannote[18].end |
50.99346875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
52.27596875 |
transcript.pyannote[19].end |
52.61346875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
53.15346875 |
transcript.pyannote[20].end |
54.46971875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
54.52034375 |
transcript.pyannote[21].end |
56.12346875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
56.27534375 |
transcript.pyannote[22].end |
57.01784375 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
58.41846875 |
transcript.pyannote[23].end |
60.10596875 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
61.08471875 |
transcript.pyannote[24].end |
62.68784375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
63.51471875 |
transcript.pyannote[25].end |
66.75471875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
67.31159375 |
transcript.pyannote[26].end |
68.30721875 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
68.79659375 |
transcript.pyannote[27].end |
71.42909375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
68.89784375 |
transcript.pyannote[28].end |
69.20159375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
71.66534375 |
transcript.pyannote[29].end |
81.60471875 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
82.71846875 |
transcript.pyannote[30].end |
95.74596875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
96.79221875 |
transcript.pyannote[31].end |
102.63096875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
103.10346875 |
transcript.pyannote[32].end |
106.64721875 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
107.01846875 |
transcript.pyannote[33].end |
109.81971875 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
110.64659375 |
transcript.pyannote[34].end |
112.23284375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
114.98346875 |
transcript.pyannote[35].end |
115.79346875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
116.01284375 |
transcript.pyannote[36].end |
116.95784375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
118.49346875 |
transcript.pyannote[37].end |
118.76346875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
119.30346875 |
transcript.pyannote[38].end |
123.18471875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
123.69096875 |
transcript.pyannote[39].end |
125.31096875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
129.05721875 |
transcript.pyannote[40].end |
140.59971875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
140.86971875 |
transcript.pyannote[41].end |
148.56471875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
144.78471875 |
transcript.pyannote[42].end |
146.37096875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
149.27346875 |
transcript.pyannote[43].end |
153.32346875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
149.30721875 |
transcript.pyannote[44].end |
150.65721875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
153.67784375 |
transcript.pyannote[45].end |
156.22596875 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
156.76596875 |
transcript.pyannote[46].end |
158.47034375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
159.97221875 |
transcript.pyannote[47].end |
177.48846875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
163.16159375 |
transcript.pyannote[48].end |
163.44846875 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
168.57846875 |
transcript.pyannote[49].end |
169.67534375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
178.11284375 |
transcript.pyannote[50].end |
178.43346875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
178.56846875 |
transcript.pyannote[51].end |
191.89971875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
192.81096875 |
transcript.pyannote[52].end |
193.67159375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
194.85284375 |
transcript.pyannote[53].end |
196.72596875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
198.05909375 |
transcript.pyannote[54].end |
199.29096875 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
199.56096875 |
transcript.pyannote[55].end |
201.50159375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
202.12596875 |
transcript.pyannote[56].end |
211.32284375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
204.74159375 |
transcript.pyannote[57].end |
211.30596875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
212.28471875 |
transcript.pyannote[58].end |
214.27596875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
214.59659375 |
transcript.pyannote[59].end |
225.58221875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
214.90034375 |
transcript.pyannote[60].end |
217.73534375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
218.39346875 |
transcript.pyannote[61].end |
219.54096875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
225.93659375 |
transcript.pyannote[62].end |
235.48784375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
228.73784375 |
transcript.pyannote[63].end |
229.07534375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
229.10909375 |
transcript.pyannote[64].end |
235.09971875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
236.34846875 |
transcript.pyannote[65].end |
242.27159375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
238.17096875 |
transcript.pyannote[66].end |
239.72346875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
240.11159375 |
transcript.pyannote[67].end |
242.22096875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
242.55846875 |
transcript.pyannote[68].end |
243.75659375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
244.66784375 |
transcript.pyannote[69].end |
247.09784375 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
247.77284375 |
transcript.pyannote[70].end |
250.74284375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
249.00471875 |
transcript.pyannote[71].end |
250.00034375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
251.65409375 |
transcript.pyannote[72].end |
252.73409375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
253.13909375 |
transcript.pyannote[73].end |
255.29909375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
255.45096875 |
transcript.pyannote[74].end |
257.10471875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
258.08346875 |
transcript.pyannote[75].end |
259.51784375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
259.66971875 |
transcript.pyannote[76].end |
260.66534375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
260.83409375 |
transcript.pyannote[77].end |
262.01534375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
264.25971875 |
transcript.pyannote[78].end |
265.98096875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
269.77784375 |
transcript.pyannote[79].end |
271.68471875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
272.62971875 |
transcript.pyannote[80].end |
274.95846875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
276.56159375 |
transcript.pyannote[81].end |
279.73409375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
279.81846875 |
transcript.pyannote[82].end |
283.21034375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
284.52659375 |
transcript.pyannote[83].end |
284.94846875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
285.47159375 |
transcript.pyannote[84].end |
287.63159375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
287.80034375 |
transcript.pyannote[85].end |
309.21471875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
290.34846875 |
transcript.pyannote[86].end |
293.14971875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
293.16659375 |
transcript.pyannote[87].end |
293.47034375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
293.60534375 |
transcript.pyannote[88].end |
293.97659375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
294.07784375 |
transcript.pyannote[89].end |
294.88784375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
305.09721875 |
transcript.pyannote[90].end |
306.97034375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
307.61159375 |
transcript.pyannote[91].end |
308.55659375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
309.40034375 |
transcript.pyannote[92].end |
311.47596875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
309.46784375 |
transcript.pyannote[93].end |
311.30721875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
311.77971875 |
transcript.pyannote[94].end |
321.02721875 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
311.96534375 |
transcript.pyannote[95].end |
312.69096875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
313.73721875 |
transcript.pyannote[96].end |
315.12096875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
315.84659375 |
transcript.pyannote[97].end |
318.78284375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
323.13659375 |
transcript.pyannote[98].end |
325.43159375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
324.04784375 |
transcript.pyannote[99].end |
324.57096875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
324.67221875 |
transcript.pyannote[100].end |
324.90846875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
325.68471875 |
transcript.pyannote[101].end |
325.92096875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
326.49471875 |
transcript.pyannote[102].end |
330.13971875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
331.77659375 |
transcript.pyannote[103].end |
342.01971875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
342.57659375 |
transcript.pyannote[104].end |
343.87596875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
349.47846875 |
transcript.pyannote[105].end |
350.17034375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
350.81159375 |
transcript.pyannote[106].end |
356.80221875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
357.39284375 |
transcript.pyannote[107].end |
361.44284375 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
362.52284375 |
transcript.pyannote[108].end |
371.88846875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
371.33159375 |
transcript.pyannote[109].end |
372.83346875 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
372.91784375 |
transcript.pyannote[110].end |
375.38159375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
375.85409375 |
transcript.pyannote[111].end |
377.81159375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
376.86659375 |
transcript.pyannote[112].end |
380.00534375 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
379.95471875 |
transcript.pyannote[113].end |
381.79409375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
381.89534375 |
transcript.pyannote[114].end |
387.49784375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
387.48096875 |
transcript.pyannote[115].end |
391.48034375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
392.08784375 |
transcript.pyannote[116].end |
393.74159375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
394.34909375 |
transcript.pyannote[117].end |
396.28971875 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
396.81284375 |
transcript.pyannote[118].end |
399.74909375 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
400.22159375 |
transcript.pyannote[119].end |
403.32659375 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
404.00159375 |
transcript.pyannote[120].end |
406.76909375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
406.78596875 |
transcript.pyannote[121].end |
407.24159375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
407.79846875 |
transcript.pyannote[122].end |
410.86971875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
411.42659375 |
transcript.pyannote[123].end |
413.56971875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
414.59909375 |
transcript.pyannote[124].end |
423.35721875 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
423.47534375 |
transcript.pyannote[125].end |
429.87096875 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
429.76971875 |
transcript.pyannote[126].end |
433.26284375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
429.88784375 |
transcript.pyannote[127].end |
430.32659375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
434.02221875 |
transcript.pyannote[128].end |
441.46409375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
440.80596875 |
transcript.pyannote[129].end |
445.24409375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
445.71659375 |
transcript.pyannote[130].end |
448.06221875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
448.45034375 |
transcript.pyannote[131].end |
453.20909375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
453.66471875 |
transcript.pyannote[132].end |
454.13721875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
453.69846875 |
transcript.pyannote[133].end |
454.10346875 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
454.47471875 |
transcript.pyannote[134].end |
467.78909375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
467.78909375 |
transcript.pyannote[135].end |
469.35846875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
469.42596875 |
transcript.pyannote[136].end |
476.31096875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
475.02846875 |
transcript.pyannote[137].end |
477.30659375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
477.30659375 |
transcript.pyannote[138].end |
483.68534375 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
477.35721875 |
transcript.pyannote[139].end |
477.99846875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
481.62659375 |
transcript.pyannote[140].end |
482.50409375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
484.49534375 |
transcript.pyannote[141].end |
488.19096875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
488.74784375 |
transcript.pyannote[142].end |
490.48596875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
490.89096875 |
transcript.pyannote[143].end |
504.27284375 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
504.32346875 |
transcript.pyannote[144].end |
510.31409375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
510.53346875 |
transcript.pyannote[145].end |
511.46159375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
511.79909375 |
transcript.pyannote[146].end |
512.32221875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
512.65971875 |
transcript.pyannote[147].end |
515.14034375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
516.01784375 |
transcript.pyannote[148].end |
519.81471875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
521.87346875 |
transcript.pyannote[149].end |
534.00659375 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
532.47096875 |
transcript.pyannote[150].end |
535.62659375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
535.12034375 |
transcript.pyannote[151].end |
537.82034375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
536.03159375 |
transcript.pyannote[152].end |
538.05659375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
538.95096875 |
transcript.pyannote[153].end |
540.53721875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
541.26284375 |
transcript.pyannote[154].end |
541.95471875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
542.78159375 |
transcript.pyannote[155].end |
543.67596875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
544.97534375 |
transcript.pyannote[156].end |
550.93221875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
551.35409375 |
transcript.pyannote[157].end |
551.70846875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
553.12596875 |
transcript.pyannote[158].end |
554.08784375 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
553.19346875 |
transcript.pyannote[159].end |
553.90221875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
555.13409375 |
transcript.pyannote[160].end |
555.28596875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
555.77534375 |
transcript.pyannote[161].end |
556.46721875 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
558.17159375 |
transcript.pyannote[162].end |
562.55909375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
562.67721875 |
transcript.pyannote[163].end |
571.11471875 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
567.57096875 |
transcript.pyannote[164].end |
568.76909375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
571.36784375 |
transcript.pyannote[165].end |
579.85596875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
580.86846875 |
transcript.pyannote[166].end |
598.46909375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
591.16221875 |
transcript.pyannote[167].end |
591.44909375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
592.51221875 |
transcript.pyannote[168].end |
594.25034375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
599.14409375 |
transcript.pyannote[169].end |
601.03409375 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
601.52346875 |
transcript.pyannote[170].end |
605.47221875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
607.04159375 |
transcript.pyannote[171].end |
628.30409375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
619.81596875 |
transcript.pyannote[172].end |
620.25471875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
629.02971875 |
transcript.pyannote[173].end |
631.67909375 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
632.50596875 |
transcript.pyannote[174].end |
635.10471875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
639.05346875 |
transcript.pyannote[175].end |
643.74471875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
644.30159375 |
transcript.pyannote[176].end |
644.75721875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
645.01034375 |
transcript.pyannote[177].end |
646.42784375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
647.01846875 |
transcript.pyannote[178].end |
660.43409375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
661.22721875 |
transcript.pyannote[179].end |
667.99409375 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
662.64471875 |
transcript.pyannote[180].end |
664.33221875 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
668.60159375 |
transcript.pyannote[181].end |
669.05721875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
669.29346875 |
transcript.pyannote[182].end |
674.98034375 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
675.48659375 |
transcript.pyannote[183].end |
677.52846875 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
679.55346875 |
transcript.pyannote[184].end |
699.14534375 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
699.55034375 |
transcript.pyannote[185].end |
717.91034375 |
transcript.whisperx[0].start |
0.149 |
transcript.whisperx[0].end |
3.611 |
transcript.whisperx[0].text |
就是產檢家跟陪產檢家是有被砍啊這不是謠言這不是謠言這是真的所以這個預算編在哪裡這個編在這個我們勞動平等 |
transcript.whisperx[1].start |
31.93 |
transcript.whisperx[1].end |
40.137 |
transcript.whisperx[1].text |
勞動條件及就業平等的相關預算那今年變多少錢8500萬那獎補助費有刪減還是凍結有凍結有刪減也有凍結哪一筆沒有刪也沒凍結呢委員有哪一筆啊 你講委員 刪減被刪了800凍結應該凍了1900大概2000我看到這邊資料怎麼只有600勒 |
transcript.whisperx[2].start |
61.121 |
transcript.whisperx[2].end |
68.969 |
transcript.whisperx[2].text |
可是你的資料不是很正確三減 院會三減的部分是啥2185三減 三減了800凍結凍了將近2000所以一定會影響到產檢價 賠產檢價相關的薪資補貼這是為什麼會影響到新手爸媽的權利的原因 |
transcript.whisperx[3].start |
82.765 |
transcript.whisperx[3].end |
95.23 |
transcript.whisperx[3].text |
所以我們勞動條件及就業平等是業務一共編了9714萬元那我這邊資料是你是講統產的部分嗎就是這一項裡面被刪了800萬跟被凍結了2000萬左右但是裡面有8500多萬就是用在產檢價跟配產檢價的薪資補貼所以一定會影響到的 |
transcript.whisperx[4].start |
115.017 |
transcript.whisperx[4].end |
125.017 |
transcript.whisperx[4].text |
所以影響多少?這樣影響會多少?在下半年我們相關的這些津貼的合法商一定會影響到的在下半年?那前半年不會? |
transcript.whisperx[5].start |
129.679 |
transcript.whisperx[5].end |
157.434 |
transcript.whisperx[5].text |
我們其實當然希望都不要影響到新手爸媽的權益但是很遺憾的是就是會影響到那你們有為這個事情提出來了嗎有沒有提出這個意見你們的意見我們在之前其實就已經要提出來說這筆預算是關乎新手爸媽的權益可是現在就是會影響到了所以我沒有在造謠這是真的會發生的事情那你趕快提出來啊 |
transcript.whisperx[6].start |
160.591 |
transcript.whisperx[6].end |
176.839 |
transcript.whisperx[6].text |
你不要在外面講嘛那你是不是可以馬上我們不是只有在外面講我們說我們提出復議可是復議被否定你不能做追加嗎所以那時候我們在委員會行政院提出復議可是很遺憾復議被否決不是我是說你為什麼不在委員會來提 |
transcript.whisperx[7].start |
178.714 |
transcript.whisperx[7].end |
190.983 |
transcript.whisperx[7].text |
因為這個是一個整體的影響所以當時行政院是提出復議的方式但復議被否決啦我們希望透過復議能夠爭取這些相關的預算能夠再有多的討論跟審議的機會可是在復議被否決啊那這邊不能提我這樣問的你不要再講到院會嘛 |
transcript.whisperx[8].start |
198.226 |
transcript.whisperx[8].end |
225.314 |
transcript.whisperx[8].text |
這是一個整體的你不能提解凍嗎所以我們要說第一個確實六個山洞是有影響的第二個是我們也想要解決問題那你應該是提出來嘛對不對你如果有這個問題你是不是現在要提出來我們當然希望跟各政黨能夠再做一些討論如果你真的是為了這個我們年輕人著想那你為什麼現在不趕快做這件事情 |
transcript.whisperx[9].start |
226.278 |
transcript.whisperx[9].end |
234.785 |
transcript.whisperx[9].text |
我們是為了年輕人才好所以編列這個預算所以不希望這個預算當時被這樣煽動所以這樣煽動會影響年輕人你要怎麼繼續處理這個問題就一直喊就好我們沒有喊我們說當時提出的副議啊你要不要做嘛我們提出了副議但副議沒有要提出來啊什麼時候要提出來嘛 |
transcript.whisperx[10].start |
244.707 |
transcript.whisperx[10].end |
261.356 |
transcript.whisperx[10].text |
你不要講婦嬰婦嬰已經否決了對不對婦嬰否決就是讓人遺憾的事情那你現在咧現在咧我們是不是有講過你如果有自在難行你是不是可以提出來是所以我們提出婦嬰什麼時候你講那個廢話還在婦嬰現在廢話就沒婦嬰就已經結束了還在還在要繞回去怎麼可能呢你還在還要繞回去還硬啊 |
transcript.whisperx[11].start |
272.677 |
transcript.whisperx[11].end |
283.076 |
transcript.whisperx[11].text |
委員這不是硬拗那你現在怎麼處理嘛我們當然可以 我們接下來才可以大家再做跟草野各界來做討論你可以提出來啊 叫你提出來你什麼時候要提出來嘛 |
transcript.whisperx[12].start |
284.571 |
transcript.whisperx[12].end |
308.871 |
transcript.whisperx[12].text |
我們這個相關的案子 我們會跟行政院來討論一定要提上面 你自己不會討論就對了那當然提是 提是討論不提那等上面指示 你們可以講才講是嗎那等大罷免結束之後 你們再來為年輕人來著想是嗎還是這個事情你要來利用一直燒 燒到大罷免結束我們正式為年輕人著想 所以當時才如果你真的是想要處理事情你如果真的是想要處理事情 |
transcript.whisperx[13].start |
309.571 |
transcript.whisperx[13].end |
317.454 |
transcript.whisperx[13].text |
這個三點跟凍結是事實事實 我現在沒有說不是事實這個三點跟凍結是事實你要不要提出來解要不要提出來解嘛你不要提出來解你就閉嘴那麼我現在問你的是你現在什麼時候要提出來 |
transcript.whisperx[14].start |
332.864 |
transcript.whisperx[14].end |
343.61 |
transcript.whisperx[14].text |
我們會找我們會適當時機會來提相關還可以再做的做法只是我們必須表達確實這個刪減跟凍結就是事實好那我現在問那你盡快好不好那我們問審計部一下救援好救援基金裡面7224萬元用途不符本來就是用途不符為什麼要給我們的報告改成關聯性不高 |
transcript.whisperx[15].start |
362.995 |
transcript.whisperx[15].end |
375.212 |
transcript.whisperx[15].text |
跟委員報告就是我們跟審計部發的審核通知跟勞動部的歷次的申付其實這兩個用詞都有在用為什麼要臨時蓋嗎沒有我們只是把它文字再重新整理 |
transcript.whisperx[16].start |
375.925 |
transcript.whisperx[16].end |
398.997 |
transcript.whisperx[16].text |
所以是你的意思沒有 我內部在校對的時候就覺得跟所以你認為這個說法比較正確沒有 就是我們等於是大家一個比較雙方都可以共同認同的說法你113年底給財政委員會的報告也是寫用途不符那這一次是誰叫你改的沒有 這個原來我們就就內部在校對就做這樣的處理 |
transcript.whisperx[17].start |
400.287 |
transcript.whisperx[17].end |
412.954 |
transcript.whisperx[17].text |
那個好用途不符就是用途不符改幾個字不反我用的事實會改變嗎不會那現在就是欲蓋彌彰嘛對不對這把事實呈現給大眾有那麼難嗎 |
transcript.whisperx[18].start |
414.653 |
transcript.whisperx[18].end |
433.13 |
transcript.whisperx[18].text |
我們從這個案子我們調查跟揭露還有移送檢調在後續偵辦還有呈報監察院的我們都是按照我們查核發現的證據完整呈現給相關的單位我們沒有任何掩飾那救援基金濫用的部分為什麼你用檢列不是用剔除 |
transcript.whisperx[19].start |
434.093 |
transcript.whisperx[19].end |
451.698 |
transcript.whisperx[19].text |
其實公文包因為現在113年度他的決算已經編我們現在在審決算所以你們這個追討手段可以用剔除直接進入強制執行嘛檢列腳褲是由財政部追討那如果只做檢列就是財務審計做個樣子而已嘛 |
transcript.whisperx[20].start |
455.32 |
transcript.whisperx[20].end |
469.117 |
transcript.whisperx[20].text |
是這樣嗎這兩個 顧委員報告我們其實修正決算7224萬餘元修正這個都要增列其他應收款這個事後都還是要追蹤腳褲的那實際動作呢 你要怎麼做 |
transcript.whisperx[21].start |
469.998 |
transcript.whisperx[21].end |
487.539 |
transcript.whisperx[21].text |
後續一樣這裡面其中有包括有涉及個人財務責任部分我們還是會追究你們怎麼追究一樣就是等判刑有一部分涉及財務責任有送了嗎那個部分移送法辦的部分判決確定我們還是會追究個人的財務責任 |
transcript.whisperx[22].start |
488.76 |
transcript.whisperx[22].end |
513.713 |
transcript.whisperx[22].text |
好 那你這個要多久這個司法判決這個部分我們比較不容易掌握因為現在以那個北分署的案子現在目前是甄決起訴所以可能在法院那邊處理所以這個部分我們就會靜待司法判決確定我們會後都會繼續追蹤好 那你看 |
transcript.whisperx[23].start |
516.309 |
transcript.whisperx[23].end |
537.884 |
transcript.whisperx[23].text |
進度喔 我想你大概每個月跟我們報告可以嗎我們盡量啦 因為這個恐怕因為涉及這個根本沒辦法 這包括我們移送給檢調部份就涉及司法行政責任部份另外一部份是監察院在調查中你已經送了沒有 還沒送這兩個都送了已經送了是不是 都送了那我再請教部長你發新聞稿說 |
transcript.whisperx[24].start |
545.194 |
transcript.whisperx[24].end |
551.386 |
transcript.whisperx[24].text |
連公務預算要把許民春演唱會的還有他拍沙龍照這些不法奴用的錢補回來對吧補回基金嗎你有講過嗎 |
transcript.whisperx[25].start |
558.22 |
transcript.whisperx[25].end |
578.432 |
transcript.whisperx[25].text |
我們說的是說如果要我的我的說法是如果要跟個人來追究決策者的責任的話我們會配合檢調那這筆錢怎麼補你在基金裡面拿出來的錢怎麼補現在按照審計部給我們的這個審核的通知是要我們修正簡列 |
transcript.whisperx[26].start |
580.942 |
transcript.whisperx[26].end |
605.185 |
transcript.whisperx[26].text |
修正減劣追回那按照修正減劣追回的話他的其實意思是他不應該用在救安基金但是應該是用在公務預算裡面所以在過去相關的判定裡面在還沒有公務預算的時候他就已經可以用掉了嘛那你現在用公務預算去補對不對你的意思是這樣嗎這個是過去如果被判定修正減劣追回的話的做法之一 |
transcript.whisperx[27].start |
607.079 |
transcript.whisperx[27].end |
624.673 |
transcript.whisperx[27].text |
他只是檢列嘛那你現在我的意思是說你是不是要準備用公務預算去把它補回來那這個是這個是做法只一旦具體的做法我們還可以跟審計部跟主計再來做主計處再來討論因為審計部列啊檢列就是認定這個動之不合規定啊審計部我這樣那個我們副審副審計長啊我這樣講有錯嗎檢列就是認定動之不合規定嘛對不對 |
transcript.whisperx[28].start |
639.087 |
transcript.whisperx[28].end |
667.594 |
transcript.whisperx[28].text |
好那你現在說那你現在要怎麼樣用怎麼樣用納稅人的錢去補回來的我還是要跟委員說明勞動部是一個行政部門我們必須要依照審計部的審計結果跟相關的規範來辦理那審計部判定的就是修正減劣跟追回所以過去在這做法上面規定所以這樣是合法就對了這樣是合法就對了哪一個事情是合法就用公務預算補就是對的 |
transcript.whisperx[29].start |
669.792 |
transcript.whisperx[29].end |
677.25 |
transcript.whisperx[29].text |
過去在如果被說說這些相關的判定的話編列公務預算來規定是做法之一 |
transcript.whisperx[30].start |
679.605 |
transcript.whisperx[30].end |
698.841 |
transcript.whisperx[30].text |
那如果這樣子的話我們用納稅人的錢來去補這筆錢你認為合理嗎所以我剛才跟委員說明具體的做法當然我們還願意跟行政院跟審議部來做討論可是確實當時在新聞稿裡面寫說編列公共預算來歸電這是過去被判定相關的類型的時候他的做法之一 |
transcript.whisperx[31].start |
700.277 |
transcript.whisperx[31].end |
716.918 |
transcript.whisperx[31].text |
我希望你們這個部分一定要給我們國人一個好交代把它講清楚絕對不能說如果有違法的部分你們一定要依法來追究來做處理如果有違法的部分尤其如果是司法判決的話我們當然會依照司法判決來追究好 謝謝 |