IVOD_ID |
160022 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160022 |
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 |
2025-04-09T10:35:06+08:00 |
結束時間 |
2025-04-09T10:47:42+08:00 |
影片長度 |
00:12:36 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/984603a5a250cdce92d0f51bbda077eba9dd72f8e909e22303873e74607c39c2a54079fb70ee7d1b5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
邱鎮軍 |
委員發言時間 |
10:35:06 - 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_00 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
1.49909375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
11.38784375 |
transcript.pyannote[1].end |
12.40034375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
12.99096875 |
transcript.pyannote[2].end |
14.96534375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
15.40409375 |
transcript.pyannote[3].end |
15.92721875 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
23.60534375 |
transcript.pyannote[4].end |
24.02721875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
24.09471875 |
transcript.pyannote[5].end |
25.12409375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
25.54596875 |
transcript.pyannote[6].end |
32.95409375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
34.28721875 |
transcript.pyannote[7].end |
55.63409375 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
34.32096875 |
transcript.pyannote[8].end |
35.94096875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
36.59909375 |
transcript.pyannote[9].end |
39.95721875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
56.07284375 |
transcript.pyannote[10].end |
57.38909375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
56.79846875 |
transcript.pyannote[11].end |
56.96721875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
57.59159375 |
transcript.pyannote[12].end |
60.98346875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
61.43909375 |
transcript.pyannote[13].end |
63.31221875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
63.46409375 |
transcript.pyannote[14].end |
64.30784375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
65.05034375 |
transcript.pyannote[15].end |
69.20159375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
67.53096875 |
transcript.pyannote[16].end |
68.42534375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
70.78784375 |
transcript.pyannote[17].end |
71.59784375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
72.35721875 |
transcript.pyannote[18].end |
72.59346875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
72.93096875 |
transcript.pyannote[19].end |
75.56346875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
77.09909375 |
transcript.pyannote[20].end |
78.09471875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
78.46596875 |
transcript.pyannote[21].end |
78.78659375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
79.19159375 |
transcript.pyannote[22].end |
80.52471875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
81.87471875 |
transcript.pyannote[23].end |
83.14034375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
83.52846875 |
transcript.pyannote[24].end |
84.18659375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
84.62534375 |
transcript.pyannote[25].end |
85.45221875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
86.73471875 |
transcript.pyannote[26].end |
87.08909375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
87.62909375 |
transcript.pyannote[27].end |
90.61596875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
90.76784375 |
transcript.pyannote[28].end |
91.49346875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
92.87721875 |
transcript.pyannote[29].end |
94.54784375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
95.54346875 |
transcript.pyannote[30].end |
97.16346875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
97.99034375 |
transcript.pyannote[31].end |
101.23034375 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
101.78721875 |
transcript.pyannote[32].end |
102.78284375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
103.25534375 |
transcript.pyannote[33].end |
105.93846875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
103.39034375 |
transcript.pyannote[34].end |
103.66034375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
106.12409375 |
transcript.pyannote[35].end |
116.08034375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
117.21096875 |
transcript.pyannote[36].end |
130.22159375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
131.25096875 |
transcript.pyannote[37].end |
137.12346875 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
137.57909375 |
transcript.pyannote[38].end |
141.12284375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
141.49409375 |
transcript.pyannote[39].end |
144.29534375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
145.13909375 |
transcript.pyannote[40].end |
146.72534375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
149.47596875 |
transcript.pyannote[41].end |
150.28596875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
150.50534375 |
transcript.pyannote[42].end |
151.41659375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
152.96909375 |
transcript.pyannote[43].end |
153.23909375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
153.76221875 |
transcript.pyannote[44].end |
157.66034375 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
158.16659375 |
transcript.pyannote[45].end |
159.78659375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
163.51596875 |
transcript.pyannote[46].end |
175.09221875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
175.37909375 |
transcript.pyannote[47].end |
183.04034375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
179.27721875 |
transcript.pyannote[48].end |
180.86346875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
183.74909375 |
transcript.pyannote[49].end |
187.88346875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
183.78284375 |
transcript.pyannote[50].end |
185.09909375 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
188.13659375 |
transcript.pyannote[51].end |
190.71846875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
191.24159375 |
transcript.pyannote[52].end |
192.94596875 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
194.44784375 |
transcript.pyannote[53].end |
211.96409375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
197.09721875 |
transcript.pyannote[54].end |
198.04221875 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
203.03721875 |
transcript.pyannote[55].end |
204.15096875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
212.58846875 |
transcript.pyannote[56].end |
212.87534375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
213.02721875 |
transcript.pyannote[57].end |
226.37534375 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
227.28659375 |
transcript.pyannote[58].end |
228.14721875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
229.32846875 |
transcript.pyannote[59].end |
231.20159375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
232.53471875 |
transcript.pyannote[60].end |
233.76659375 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
234.01971875 |
transcript.pyannote[61].end |
235.99409375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
236.60159375 |
transcript.pyannote[62].end |
245.79846875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
239.25096875 |
transcript.pyannote[63].end |
245.76471875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
246.76034375 |
transcript.pyannote[64].end |
248.73471875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
249.07221875 |
transcript.pyannote[65].end |
269.98034375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
249.39284375 |
transcript.pyannote[66].end |
252.17721875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
252.90284375 |
transcript.pyannote[67].end |
254.01659375 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
263.63534375 |
transcript.pyannote[68].end |
269.59221875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
270.82409375 |
transcript.pyannote[69].end |
276.79784375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
272.61284375 |
transcript.pyannote[70].end |
274.18221875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
274.60409375 |
transcript.pyannote[71].end |
276.69659375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
277.01721875 |
transcript.pyannote[72].end |
278.24909375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
279.14346875 |
transcript.pyannote[73].end |
281.59034375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
282.24846875 |
transcript.pyannote[74].end |
285.21846875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
283.49721875 |
transcript.pyannote[75].end |
284.50971875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
286.12971875 |
transcript.pyannote[76].end |
287.20971875 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
287.61471875 |
transcript.pyannote[77].end |
288.84659375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
288.89721875 |
transcript.pyannote[78].end |
289.77471875 |
transcript.pyannote[79].speaker |
SPEAKER_01 |
transcript.pyannote[79].start |
289.90971875 |
transcript.pyannote[79].end |
291.58034375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
292.55909375 |
transcript.pyannote[80].end |
293.99346875 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
294.14534375 |
transcript.pyannote[81].end |
295.12409375 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
295.30971875 |
transcript.pyannote[82].end |
296.49096875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
298.73534375 |
transcript.pyannote[83].end |
300.43971875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
304.27034375 |
transcript.pyannote[84].end |
306.17721875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
307.12221875 |
transcript.pyannote[85].end |
309.43409375 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
311.02034375 |
transcript.pyannote[86].end |
317.68596875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
319.00221875 |
transcript.pyannote[87].end |
319.44096875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
319.94721875 |
transcript.pyannote[88].end |
322.05659375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
322.29284375 |
transcript.pyannote[89].end |
345.96846875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
324.82409375 |
transcript.pyannote[90].end |
327.54096875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
328.75596875 |
transcript.pyannote[91].end |
329.36346875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
339.57284375 |
transcript.pyannote[92].end |
341.47971875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
342.01971875 |
transcript.pyannote[93].end |
342.96471875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
343.94346875 |
transcript.pyannote[94].end |
345.86721875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
346.25534375 |
transcript.pyannote[95].end |
355.50284375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
346.47471875 |
transcript.pyannote[96].end |
347.20034375 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
348.22971875 |
transcript.pyannote[97].end |
349.52909375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
350.30534375 |
transcript.pyannote[98].end |
353.24159375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
357.62909375 |
transcript.pyannote[99].end |
359.90721875 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
358.54034375 |
transcript.pyannote[100].end |
359.45159375 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
360.16034375 |
transcript.pyannote[101].end |
360.39659375 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
360.97034375 |
transcript.pyannote[102].end |
362.94471875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
362.97846875 |
transcript.pyannote[103].end |
364.61534375 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
366.25221875 |
transcript.pyannote[104].end |
376.49534375 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
377.03534375 |
transcript.pyannote[105].end |
378.35159375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
383.95409375 |
transcript.pyannote[106].end |
384.64596875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
385.28721875 |
transcript.pyannote[107].end |
391.26096875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
391.85159375 |
transcript.pyannote[108].end |
395.91846875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
396.99846875 |
transcript.pyannote[109].end |
406.38096875 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
405.80721875 |
transcript.pyannote[110].end |
407.35971875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
407.37659375 |
transcript.pyannote[111].end |
409.85721875 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
410.32971875 |
transcript.pyannote[112].end |
412.28721875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
411.34221875 |
transcript.pyannote[113].end |
414.63284375 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
414.43034375 |
transcript.pyannote[114].end |
416.28659375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
416.33721875 |
transcript.pyannote[115].end |
421.93971875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
421.93971875 |
transcript.pyannote[116].end |
425.98971875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
426.56346875 |
transcript.pyannote[117].end |
428.23409375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
428.82471875 |
transcript.pyannote[118].end |
430.74846875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
431.28846875 |
transcript.pyannote[119].end |
434.22471875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
434.71409375 |
transcript.pyannote[120].end |
437.80221875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
438.47721875 |
transcript.pyannote[121].end |
441.19409375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
441.27846875 |
transcript.pyannote[122].end |
441.59909375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
441.59909375 |
transcript.pyannote[123].end |
441.66659375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
441.66659375 |
transcript.pyannote[124].end |
441.70034375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
442.27409375 |
transcript.pyannote[125].end |
445.32846875 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
445.93596875 |
transcript.pyannote[126].end |
448.04534375 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
449.07471875 |
transcript.pyannote[127].end |
457.69784375 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
458.03534375 |
transcript.pyannote[128].end |
464.32971875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
464.22846875 |
transcript.pyannote[129].end |
467.72159375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
464.34659375 |
transcript.pyannote[130].end |
464.81909375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
468.51471875 |
transcript.pyannote[131].end |
475.24784375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
475.24784375 |
transcript.pyannote[132].end |
479.71971875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
475.26471875 |
transcript.pyannote[133].end |
475.93971875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
480.17534375 |
transcript.pyannote[134].end |
482.53784375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
482.92596875 |
transcript.pyannote[135].end |
483.38159375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
483.44909375 |
transcript.pyannote[136].end |
487.68471875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
488.14034375 |
transcript.pyannote[137].end |
488.61284375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
488.17409375 |
transcript.pyannote[138].end |
488.57909375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
488.95034375 |
transcript.pyannote[139].end |
502.24784375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
502.24784375 |
transcript.pyannote[140].end |
503.83409375 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
503.88471875 |
transcript.pyannote[141].end |
510.80346875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
509.50409375 |
transcript.pyannote[142].end |
511.78221875 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
511.78221875 |
transcript.pyannote[143].end |
518.17784375 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
511.95096875 |
transcript.pyannote[144].end |
512.49096875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
516.10221875 |
transcript.pyannote[145].end |
516.97971875 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
518.97096875 |
transcript.pyannote[146].end |
522.68346875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
523.22346875 |
transcript.pyannote[147].end |
524.97846875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
525.36659375 |
transcript.pyannote[148].end |
544.82346875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
544.92471875 |
transcript.pyannote[149].end |
545.93721875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
546.29159375 |
transcript.pyannote[150].end |
546.84846875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
547.11846875 |
transcript.pyannote[151].end |
549.61596875 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
550.51034375 |
transcript.pyannote[152].end |
554.30721875 |
transcript.pyannote[153].speaker |
SPEAKER_00 |
transcript.pyannote[153].start |
556.38284375 |
transcript.pyannote[153].end |
568.41471875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
566.87909375 |
transcript.pyannote[154].end |
570.05159375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
569.57909375 |
transcript.pyannote[155].end |
572.29596875 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
570.50721875 |
transcript.pyannote[156].end |
572.53221875 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
573.42659375 |
transcript.pyannote[157].end |
575.01284375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
575.73846875 |
transcript.pyannote[158].end |
576.43034375 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
577.27409375 |
transcript.pyannote[159].end |
578.16846875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
579.46784375 |
transcript.pyannote[160].end |
585.39096875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
585.84659375 |
transcript.pyannote[161].end |
586.16721875 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
587.60159375 |
transcript.pyannote[162].end |
588.58034375 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
587.66909375 |
transcript.pyannote[163].end |
588.37784375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
589.60971875 |
transcript.pyannote[164].end |
589.76159375 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
590.25096875 |
transcript.pyannote[165].end |
590.95971875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
592.66409375 |
transcript.pyannote[166].end |
597.03471875 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
597.22034375 |
transcript.pyannote[167].end |
605.62409375 |
transcript.pyannote[168].speaker |
SPEAKER_00 |
transcript.pyannote[168].start |
602.04659375 |
transcript.pyannote[168].end |
603.24471875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
605.84346875 |
transcript.pyannote[169].end |
614.33159375 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
615.32721875 |
transcript.pyannote[170].end |
632.94471875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
625.70534375 |
transcript.pyannote[171].end |
625.89096875 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
626.97096875 |
transcript.pyannote[172].end |
628.64159375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
633.61971875 |
transcript.pyannote[173].end |
635.50971875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
635.99909375 |
transcript.pyannote[174].end |
639.96471875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
641.51721875 |
transcript.pyannote[175].end |
662.77971875 |
transcript.pyannote[176].speaker |
SPEAKER_00 |
transcript.pyannote[176].start |
654.30846875 |
transcript.pyannote[176].end |
654.56159375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
663.50534375 |
transcript.pyannote[177].end |
666.15471875 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
666.98159375 |
transcript.pyannote[178].end |
669.58034375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
673.51221875 |
transcript.pyannote[179].end |
678.20346875 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
678.77721875 |
transcript.pyannote[180].end |
679.30034375 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
679.48596875 |
transcript.pyannote[181].end |
680.90346875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
681.51096875 |
transcript.pyannote[182].end |
694.94346875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
695.70284375 |
transcript.pyannote[183].end |
702.45284375 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
697.06971875 |
transcript.pyannote[184].end |
698.79096875 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
703.07721875 |
transcript.pyannote[185].end |
703.56659375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
703.75221875 |
transcript.pyannote[186].end |
709.40534375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
709.97909375 |
transcript.pyannote[187].end |
712.00409375 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
714.02909375 |
transcript.pyannote[188].end |
733.58721875 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
734.04284375 |
transcript.pyannote[189].end |
752.38596875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
755.47409375 |
transcript.pyannote[190].end |
755.96346875 |
transcript.whisperx[0].start |
0.089 |
transcript.whisperx[0].end |
1.21 |
transcript.whisperx[0].text |
主席好啊我們請部長部長請 |
transcript.whisperx[1].start |
24.696 |
transcript.whisperx[1].end |
31.999 |
transcript.whisperx[1].text |
吳長好我請問你你上次在這裡說育嬰停留領不到是口誤對不對 |
transcript.whisperx[2].start |
34.349 |
transcript.whisperx[2].end |
55.098 |
transcript.whisperx[2].text |
但是產檢家、陪產檢家確實是受到...馬上又補了另外一個謠言就包含你在那天在板橋大罷免宣講的造謠的會場講得慷慨激昂你能不能重複再講一次總預算對新手爸媽會有什麼影響就是產檢家跟陪產檢家是有被砍 |
transcript.whisperx[3].start |
56.541 |
transcript.whisperx[3].end |
74.937 |
transcript.whisperx[3].text |
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勞動條件集就會平等的相關的預算裡面那今年編多少 編多少錢8500萬好 那獎補助費有三減還是凍結有凍結有三減也有凍結 哪一筆 |
transcript.whisperx[4].start |
81.929 |
transcript.whisperx[4].end |
96.721 |
transcript.whisperx[4].text |
沒有刪也沒凍檢啊委員有哪一筆啊 你講委員 刪檢被刪了八百凍檢應該凍了一千九 大概兩千我看到這邊資料怎麼只有六百勒委員你的資料不是很正確 |
transcript.whisperx[5].start |
98.175 |
transcript.whisperx[5].end |
105.203 |
transcript.whisperx[5].text |
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所以一定會影響到賠產減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[6].start |
117.236 |
transcript.whisperx[6].end |
129.701 |
transcript.whisperx[6].text |
所以我們勞動條件及就業平等師業務一共編了9714萬元那我這邊資料是你是講統三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賠產檢價的薪資補貼所以一定會影響到的 |
transcript.whisperx[7].start |
149.508 |
transcript.whisperx[7].end |
159.511 |
transcript.whisperx[7].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[8].start |
164.147 |
transcript.whisperx[8].end |
191.905 |
transcript.whisperx[8].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[9].start |
195.082 |
transcript.whisperx[9].end |
211.275 |
transcript.whisperx[9].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所以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[10].start |
212.642 |
transcript.whisperx[10].end |
226.133 |
transcript.whisperx[10].text |
因為這個是一個整體的影響所以當時行政院是提出複議的方式但複議被否決啦我們希望透過複議能夠爭取這些相關的預算能夠再有多討論跟審議的機會可是在複議被否決啊那這邊不能提我就要問你 你不要再講到院會嘛 |
transcript.whisperx[11].start |
232.697 |
transcript.whisperx[11].end |
259.799 |
transcript.whisperx[11].text |
這是一個整體的你不能 你不能提解凍嗎所以我們要說第一個確實那個煽動是有影響的第二個是我們也想解決問題那你應該在這邊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[12].start |
260.746 |
transcript.whisperx[12].end |
269.255 |
transcript.whisperx[12].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你為了影響年輕人你要繼續處理這個問題就一直喊就好我們沒有喊我們所以當時提出的副議啊你要不要做嘛我們提出了副議但副議都要提出來啊什麼時候要提出來嘛 |
transcript.whisperx[13].start |
279.178 |
transcript.whisperx[13].end |
295.825 |
transcript.whisperx[13].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心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喔 |
transcript.whisperx[14].start |
307.148 |
transcript.whisperx[14].end |
317.544 |
transcript.whisperx[14].text |
委員這不是硬喔那你現在怎麼處理嘛我們當然可以我們接下來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什麼時候要提出來嘛 |
transcript.whisperx[15].start |
319.039 |
transcript.whisperx[15].end |
341.217 |
transcript.whisperx[15].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 你自己不會提 討論就對了沒有一次討論不提要等上面指示 你們可以講才講是嗎要等大罷免結束之後 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 所以當時才不需要你如果真的是想要處理事情 |
transcript.whisperx[16].start |
344.419 |
transcript.whisperx[16].end |
364.33 |
transcript.whisperx[16].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年輕人心腸敗亡的權益被影響是事實你要不要提出來解要不要提出來解嘛所以當時為什麼我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[17].start |
367.335 |
transcript.whisperx[17].end |
378.141 |
transcript.whisperx[17].text |
我們會找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[18].start |
397.466 |
transcript.whisperx[18].end |
409.683 |
transcript.whisperx[18].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[19].start |
410.396 |
transcript.whisperx[19].end |
433.468 |
transcript.whisperx[19].text |
所以是你的意思沒有 我內部在校對的時候就覺得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 這個原來我們就內部在校對就做這樣的處理 |
transcript.whisperx[20].start |
434.778 |
transcript.whisperx[20].end |
447.44 |
transcript.whisperx[20].text |
那個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把事實呈現給大眾有那麼難嗎 |
transcript.whisperx[21].start |
449.124 |
transcript.whisperx[21].end |
467.598 |
transcript.whisperx[21].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[22].start |
468.584 |
transcript.whisperx[22].end |
485.968 |
transcript.whisperx[22].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[23].start |
489.952 |
transcript.whisperx[23].end |
503.613 |
transcript.whisperx[23].text |
這個兩個 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[24].start |
504.473 |
transcript.whisperx[24].end |
522.002 |
transcript.whisperx[24].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[25].start |
523.285 |
transcript.whisperx[25].end |
548.17 |
transcript.whisperx[25].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[26].start |
550.8 |
transcript.whisperx[26].end |
572.348 |
transcript.whisperx[26].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 另外一部分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[27].start |
579.685 |
transcript.whisperx[27].end |
590.463 |
transcript.whisperx[27].text |
編公務預算要把許民春演唱會還有他拍沙龍照這些不法奴用的錢補回來對吧補回基金嘛你有講過嗎 |
transcript.whisperx[28].start |
592.691 |
transcript.whisperx[28].end |
612.908 |
transcript.whisperx[28].text |
我們說的是說如果要 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跟司法局追討那這筆錢怎麼補 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[29].start |
615.43 |
transcript.whisperx[29].end |
639.656 |
transcript.whisperx[29].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[30].start |
641.55 |
transcript.whisperx[30].end |
655.552 |
transcript.whisperx[30].text |
他只是減劣嘛 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處再來討論因為審計部劣 減劣就是認定這個動之不合規定我們副審計長我這樣講有錯嗎減劣就是認定動之不合規定嘛 對不對 |
transcript.whisperx[31].start |
673.578 |
transcript.whisperx[31].end |
698.484 |
transcript.whisperx[31].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所以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[32].start |
704.262 |
transcript.whisperx[32].end |
711.738 |
transcript.whisperx[32].text |
過去在如果被做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[33].start |
714.076 |
transcript.whisperx[33].end |
733.305 |
transcript.whisperx[33].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[34].start |
734.746 |
transcript.whisperx[34].end |
751.38 |
transcript.whisperx[34].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 |