video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/01ebf86bd8208360cd9da40206149981e45dd5fe0ad21242f169037e582a32068dabc12a4db4132a5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
陳昭姿 |
委員發言時間 |
10:10:22 - 10:23:15 |
影片長度 |
773 |
會議時間 |
2024-12-04T09:00:00+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12次全體委員會議(事由:邀請勞動部部長針對「勞動部勞動力發展署北基宜花金馬分署事件及如何完善申訴管道之具體策進作為及期程」進行專題報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
3.84471875 |
transcript.pyannote[0].end |
5.56596875 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
11.91096875 |
transcript.pyannote[1].end |
12.53534375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
12.65346875 |
transcript.pyannote[2].end |
20.06159375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
20.77034375 |
transcript.pyannote[3].end |
22.76159375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
22.15409375 |
transcript.pyannote[4].end |
24.12846875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
24.73596875 |
transcript.pyannote[5].end |
27.70596875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
27.60471875 |
transcript.pyannote[6].end |
28.53284375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
28.87034375 |
transcript.pyannote[7].end |
30.16971875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
30.77721875 |
transcript.pyannote[8].end |
32.54909375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
32.07659375 |
transcript.pyannote[9].end |
34.50659375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
35.95784375 |
transcript.pyannote[10].end |
44.39534375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
44.78346875 |
transcript.pyannote[11].end |
46.40346875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
46.85909375 |
transcript.pyannote[12].end |
47.28096875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
47.70284375 |
transcript.pyannote[13].end |
52.90034375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
53.94659375 |
transcript.pyannote[14].end |
55.09409375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
54.43596875 |
transcript.pyannote[15].end |
62.41784375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
56.41034375 |
transcript.pyannote[16].end |
58.50284375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
60.10596875 |
transcript.pyannote[17].end |
71.34471875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
63.12659375 |
transcript.pyannote[18].end |
64.25721875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
71.34471875 |
transcript.pyannote[19].end |
71.95221875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
71.95221875 |
transcript.pyannote[20].end |
78.73596875 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
80.45721875 |
transcript.pyannote[21].end |
87.51096875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
83.95034375 |
transcript.pyannote[22].end |
84.97971875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
87.51096875 |
transcript.pyannote[23].end |
111.18659375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
111.50721875 |
transcript.pyannote[24].end |
112.55346875 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
113.56596875 |
transcript.pyannote[25].end |
114.98346875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
115.48971875 |
transcript.pyannote[26].end |
117.26159375 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
115.67534375 |
transcript.pyannote[27].end |
116.77221875 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
117.26159375 |
transcript.pyannote[28].end |
123.52221875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
123.70784375 |
transcript.pyannote[29].end |
124.26471875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
124.90596875 |
transcript.pyannote[30].end |
125.15909375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
125.22659375 |
transcript.pyannote[31].end |
126.23909375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
126.69471875 |
transcript.pyannote[32].end |
127.99409375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
129.52971875 |
transcript.pyannote[33].end |
133.22534375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
134.23784375 |
transcript.pyannote[34].end |
138.86159375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
136.85346875 |
transcript.pyannote[35].end |
137.17409375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
139.33409375 |
transcript.pyannote[36].end |
139.35096875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
139.35096875 |
transcript.pyannote[37].end |
139.60409375 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
139.60409375 |
transcript.pyannote[38].end |
140.44784375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
139.62096875 |
transcript.pyannote[39].end |
139.85721875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
140.76846875 |
transcript.pyannote[40].end |
141.84846875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
142.69221875 |
transcript.pyannote[41].end |
147.09659375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
147.09659375 |
transcript.pyannote[42].end |
150.97784375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
150.52221875 |
transcript.pyannote[43].end |
162.53721875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
152.04096875 |
transcript.pyannote[44].end |
153.13784375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
154.90971875 |
transcript.pyannote[45].end |
155.36534375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
159.90471875 |
transcript.pyannote[46].end |
161.54159375 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
161.76096875 |
transcript.pyannote[47].end |
162.48659375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
162.53721875 |
transcript.pyannote[48].end |
162.58784375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
162.58784375 |
transcript.pyannote[49].end |
162.65534375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
164.10659375 |
transcript.pyannote[50].end |
164.83221875 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
165.16971875 |
transcript.pyannote[51].end |
169.40534375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
169.94534375 |
transcript.pyannote[52].end |
171.71721875 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
172.71284375 |
transcript.pyannote[53].end |
179.59784375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
179.05784375 |
transcript.pyannote[54].end |
182.43284375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
182.21346875 |
transcript.pyannote[55].end |
186.39846875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
185.38596875 |
transcript.pyannote[56].end |
189.18284375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
189.45284375 |
transcript.pyannote[57].end |
191.59596875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
191.59596875 |
transcript.pyannote[58].end |
197.11409375 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
191.76471875 |
transcript.pyannote[59].end |
192.20346875 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
195.86534375 |
transcript.pyannote[60].end |
196.55721875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
196.89471875 |
transcript.pyannote[61].end |
199.96596875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
199.08846875 |
transcript.pyannote[62].end |
200.55659375 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
203.02034375 |
transcript.pyannote[63].end |
203.86409375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
203.86409375 |
transcript.pyannote[64].end |
204.84284375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
204.58971875 |
transcript.pyannote[65].end |
205.65284375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
205.63596875 |
transcript.pyannote[66].end |
208.23471875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
208.52159375 |
transcript.pyannote[67].end |
208.85909375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
208.87596875 |
transcript.pyannote[68].end |
209.71971875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
209.41596875 |
transcript.pyannote[69].end |
211.74471875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
211.96409375 |
transcript.pyannote[70].end |
213.21284375 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
213.49971875 |
transcript.pyannote[71].end |
214.14096875 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
214.39409375 |
transcript.pyannote[72].end |
215.38971875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
215.89596875 |
transcript.pyannote[73].end |
217.17846875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
217.38096875 |
transcript.pyannote[74].end |
218.51159375 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
218.62971875 |
transcript.pyannote[75].end |
219.32159375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
218.69721875 |
transcript.pyannote[76].end |
219.11909375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
220.01346875 |
transcript.pyannote[77].end |
220.77284375 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
221.31284375 |
transcript.pyannote[78].end |
222.02159375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
221.32971875 |
transcript.pyannote[79].end |
224.92409375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
222.52784375 |
transcript.pyannote[80].end |
223.03409375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
224.53596875 |
transcript.pyannote[81].end |
226.42596875 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
227.06721875 |
transcript.pyannote[82].end |
227.70846875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
227.87721875 |
transcript.pyannote[83].end |
231.87659375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
230.49284375 |
transcript.pyannote[84].end |
233.46284375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
234.07034375 |
transcript.pyannote[85].end |
235.38659375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
236.33159375 |
transcript.pyannote[86].end |
237.83346875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
238.00221875 |
transcript.pyannote[87].end |
242.33909375 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
243.50346875 |
transcript.pyannote[88].end |
243.97596875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
244.41471875 |
transcript.pyannote[89].end |
246.74346875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
245.89971875 |
transcript.pyannote[90].end |
247.30034375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
247.97534375 |
transcript.pyannote[91].end |
251.28284375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
250.16909375 |
transcript.pyannote[92].end |
254.01659375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
254.77596875 |
transcript.pyannote[93].end |
264.25971875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
264.58034375 |
transcript.pyannote[94].end |
266.60534375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
266.53784375 |
transcript.pyannote[95].end |
274.90784375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
274.41846875 |
transcript.pyannote[96].end |
284.54346875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
285.30284375 |
transcript.pyannote[97].end |
291.73221875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
285.31971875 |
transcript.pyannote[98].end |
288.67784375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
289.89284375 |
transcript.pyannote[99].end |
290.41596875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
291.83346875 |
transcript.pyannote[100].end |
294.29721875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
294.38159375 |
transcript.pyannote[101].end |
295.51221875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
295.76534375 |
transcript.pyannote[102].end |
296.81159375 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
296.98034375 |
transcript.pyannote[103].end |
305.06346875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
305.36721875 |
transcript.pyannote[104].end |
315.08721875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
315.50909375 |
transcript.pyannote[105].end |
319.84596875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
320.50409375 |
transcript.pyannote[106].end |
320.85846875 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
321.07784375 |
transcript.pyannote[107].end |
336.04596875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
336.56909375 |
transcript.pyannote[108].end |
338.37471875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
337.44659375 |
transcript.pyannote[109].end |
339.99471875 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
340.39971875 |
transcript.pyannote[110].end |
344.87159375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
345.37784375 |
transcript.pyannote[111].end |
347.60534375 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
348.73596875 |
transcript.pyannote[112].end |
350.52471875 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
350.37284375 |
transcript.pyannote[113].end |
352.98846875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
353.54534375 |
transcript.pyannote[114].end |
358.45596875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
358.21971875 |
transcript.pyannote[115].end |
363.85596875 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
359.26596875 |
transcript.pyannote[116].end |
360.19409375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
360.58221875 |
transcript.pyannote[117].end |
360.97034375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
362.52284375 |
transcript.pyannote[118].end |
363.13034375 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
363.63659375 |
transcript.pyannote[119].end |
366.21846875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
365.59409375 |
transcript.pyannote[120].end |
370.85909375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
366.84284375 |
transcript.pyannote[121].end |
367.55159375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
368.27721875 |
transcript.pyannote[122].end |
368.76659375 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
369.67784375 |
transcript.pyannote[123].end |
376.24221875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
376.36034375 |
transcript.pyannote[124].end |
378.33471875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
377.81159375 |
transcript.pyannote[125].end |
381.87846875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
381.08534375 |
transcript.pyannote[126].end |
383.11034375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
383.70096875 |
transcript.pyannote[127].end |
386.73846875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
386.01284375 |
transcript.pyannote[128].end |
386.68784375 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
387.17721875 |
transcript.pyannote[129].end |
390.85596875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
391.02471875 |
transcript.pyannote[130].end |
394.82159375 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
395.56409375 |
transcript.pyannote[131].end |
396.57659375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
396.18846875 |
transcript.pyannote[132].end |
400.25534375 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
400.60971875 |
transcript.pyannote[133].end |
406.11096875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
404.28846875 |
transcript.pyannote[134].end |
404.72721875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
406.11096875 |
transcript.pyannote[135].end |
406.41471875 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
406.38096875 |
transcript.pyannote[136].end |
410.31284375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
410.59971875 |
transcript.pyannote[137].end |
416.11784375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
413.65409375 |
transcript.pyannote[138].end |
414.88596875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
415.84784375 |
transcript.pyannote[139].end |
417.60284375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
417.67034375 |
transcript.pyannote[140].end |
418.05846875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
418.53096875 |
transcript.pyannote[141].end |
422.44596875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
423.18846875 |
transcript.pyannote[142].end |
426.00659375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
426.54659375 |
transcript.pyannote[143].end |
430.14096875 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
431.57534375 |
transcript.pyannote[144].end |
432.84096875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
433.88721875 |
transcript.pyannote[145].end |
450.23909375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
450.32346875 |
transcript.pyannote[146].end |
455.70659375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
454.44096875 |
transcript.pyannote[147].end |
455.20034375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
456.06096875 |
transcript.pyannote[148].end |
456.60096875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
457.36034375 |
transcript.pyannote[149].end |
461.00534375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
460.68471875 |
transcript.pyannote[150].end |
463.46909375 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
463.48596875 |
transcript.pyannote[151].end |
464.04284375 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
464.07659375 |
transcript.pyannote[152].end |
468.12659375 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
468.17721875 |
transcript.pyannote[153].end |
473.07096875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
471.48471875 |
transcript.pyannote[154].end |
472.75034375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
473.22284375 |
transcript.pyannote[155].end |
474.26909375 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
474.04971875 |
transcript.pyannote[156].end |
474.70784375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
475.65284375 |
transcript.pyannote[157].end |
478.96034375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
479.71971875 |
transcript.pyannote[158].end |
480.29346875 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
479.73659375 |
transcript.pyannote[159].end |
481.13721875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
480.64784375 |
transcript.pyannote[160].end |
482.18346875 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
481.81221875 |
transcript.pyannote[161].end |
483.02721875 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
482.55471875 |
transcript.pyannote[162].end |
486.46971875 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
485.42346875 |
transcript.pyannote[163].end |
488.54534375 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
486.97596875 |
transcript.pyannote[164].end |
490.80659375 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
490.63784375 |
transcript.pyannote[165].end |
494.60346875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
493.82721875 |
transcript.pyannote[166].end |
494.11409375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
496.56096875 |
transcript.pyannote[167].end |
498.34971875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
502.51784375 |
transcript.pyannote[168].end |
505.13346875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
509.09909375 |
transcript.pyannote[169].end |
513.08159375 |
transcript.pyannote[170].speaker |
SPEAKER_00 |
transcript.pyannote[170].start |
514.22909375 |
transcript.pyannote[170].end |
514.68471875 |
transcript.pyannote[171].speaker |
SPEAKER_00 |
transcript.pyannote[171].start |
515.41034375 |
transcript.pyannote[171].end |
520.70909375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
521.19846875 |
transcript.pyannote[172].end |
533.41596875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
533.24721875 |
transcript.pyannote[173].end |
534.63096875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
534.09096875 |
transcript.pyannote[174].end |
534.98534375 |
transcript.pyannote[175].speaker |
SPEAKER_00 |
transcript.pyannote[175].start |
535.22159375 |
transcript.pyannote[175].end |
536.40284375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
535.27221875 |
transcript.pyannote[176].end |
535.69409375 |
transcript.pyannote[177].speaker |
SPEAKER_00 |
transcript.pyannote[177].start |
536.65596875 |
transcript.pyannote[177].end |
538.24221875 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
539.22096875 |
transcript.pyannote[178].end |
545.07659375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
545.83596875 |
transcript.pyannote[179].end |
548.02971875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
547.96221875 |
transcript.pyannote[180].end |
550.34159375 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
548.65409375 |
transcript.pyannote[181].end |
549.71721875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
550.10534375 |
transcript.pyannote[182].end |
556.63596875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
556.83846875 |
transcript.pyannote[183].end |
561.95159375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
562.79534375 |
transcript.pyannote[184].end |
564.92159375 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
564.39846875 |
transcript.pyannote[185].end |
566.23784375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
565.90034375 |
transcript.pyannote[186].end |
569.71409375 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
567.67221875 |
transcript.pyannote[187].end |
568.27971875 |
transcript.pyannote[188].speaker |
SPEAKER_00 |
transcript.pyannote[188].start |
569.14034375 |
transcript.pyannote[188].end |
570.45659375 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
570.10221875 |
transcript.pyannote[189].end |
576.22784375 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
574.65846875 |
transcript.pyannote[190].end |
587.17971875 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
587.44971875 |
transcript.pyannote[191].end |
591.95534375 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
592.27596875 |
transcript.pyannote[192].end |
593.79471875 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
594.95909375 |
transcript.pyannote[193].end |
595.02659375 |
transcript.pyannote[194].speaker |
SPEAKER_01 |
transcript.pyannote[194].start |
595.02659375 |
transcript.pyannote[194].end |
597.76034375 |
transcript.pyannote[195].speaker |
SPEAKER_00 |
transcript.pyannote[195].start |
595.04346875 |
transcript.pyannote[195].end |
595.29659375 |
transcript.pyannote[196].speaker |
SPEAKER_00 |
transcript.pyannote[196].start |
598.60409375 |
transcript.pyannote[196].end |
599.98784375 |
transcript.pyannote[197].speaker |
SPEAKER_00 |
transcript.pyannote[197].start |
600.61221875 |
transcript.pyannote[197].end |
602.50221875 |
transcript.pyannote[198].speaker |
SPEAKER_01 |
transcript.pyannote[198].start |
600.91596875 |
transcript.pyannote[198].end |
603.90284375 |
transcript.pyannote[199].speaker |
SPEAKER_00 |
transcript.pyannote[199].start |
603.90284375 |
transcript.pyannote[199].end |
605.82659375 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
605.53971875 |
transcript.pyannote[200].end |
606.61971875 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
606.60284375 |
transcript.pyannote[201].end |
607.36221875 |
transcript.pyannote[202].speaker |
SPEAKER_00 |
transcript.pyannote[202].start |
607.76721875 |
transcript.pyannote[202].end |
609.33659375 |
transcript.pyannote[203].speaker |
SPEAKER_00 |
transcript.pyannote[203].start |
610.63596875 |
transcript.pyannote[203].end |
611.17596875 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
611.22659375 |
transcript.pyannote[204].end |
617.41971875 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
614.11221875 |
transcript.pyannote[205].end |
614.55096875 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
617.94284375 |
transcript.pyannote[206].end |
619.47846875 |
transcript.pyannote[207].speaker |
SPEAKER_00 |
transcript.pyannote[207].start |
619.42784375 |
transcript.pyannote[207].end |
628.81034375 |
transcript.pyannote[208].speaker |
SPEAKER_00 |
transcript.pyannote[208].start |
628.87784375 |
transcript.pyannote[208].end |
641.07846875 |
transcript.pyannote[209].speaker |
SPEAKER_00 |
transcript.pyannote[209].start |
641.09534375 |
transcript.pyannote[209].end |
641.11221875 |
transcript.pyannote[210].speaker |
SPEAKER_00 |
transcript.pyannote[210].start |
641.16284375 |
transcript.pyannote[210].end |
641.98971875 |
transcript.pyannote[211].speaker |
SPEAKER_01 |
transcript.pyannote[211].start |
641.19659375 |
transcript.pyannote[211].end |
641.53409375 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
643.72784375 |
transcript.pyannote[212].end |
643.74471875 |
transcript.pyannote[213].speaker |
SPEAKER_01 |
transcript.pyannote[213].start |
643.74471875 |
transcript.pyannote[213].end |
644.38596875 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
643.79534375 |
transcript.pyannote[214].end |
646.20846875 |
transcript.pyannote[215].speaker |
SPEAKER_01 |
transcript.pyannote[215].start |
646.29284375 |
transcript.pyannote[215].end |
653.81909375 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
654.12284375 |
transcript.pyannote[216].end |
655.21971875 |
transcript.pyannote[217].speaker |
SPEAKER_01 |
transcript.pyannote[217].start |
655.21971875 |
transcript.pyannote[217].end |
655.60784375 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
655.99596875 |
transcript.pyannote[218].end |
667.63971875 |
transcript.pyannote[219].speaker |
SPEAKER_00 |
transcript.pyannote[219].start |
668.51721875 |
transcript.pyannote[219].end |
676.26284375 |
transcript.pyannote[220].speaker |
SPEAKER_01 |
transcript.pyannote[220].start |
676.51596875 |
transcript.pyannote[220].end |
677.03909375 |
transcript.pyannote[221].speaker |
SPEAKER_00 |
transcript.pyannote[221].start |
677.03909375 |
transcript.pyannote[221].end |
683.38409375 |
transcript.pyannote[222].speaker |
SPEAKER_01 |
transcript.pyannote[222].start |
677.86596875 |
transcript.pyannote[222].end |
678.35534375 |
transcript.pyannote[223].speaker |
SPEAKER_00 |
transcript.pyannote[223].start |
683.68784375 |
transcript.pyannote[223].end |
685.88159375 |
transcript.pyannote[224].speaker |
SPEAKER_01 |
transcript.pyannote[224].start |
685.67909375 |
transcript.pyannote[224].end |
687.56909375 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
687.73784375 |
transcript.pyannote[225].end |
689.02034375 |
transcript.pyannote[226].speaker |
SPEAKER_00 |
transcript.pyannote[226].start |
690.58971875 |
transcript.pyannote[226].end |
705.96284375 |
transcript.pyannote[227].speaker |
SPEAKER_01 |
transcript.pyannote[227].start |
691.34909375 |
transcript.pyannote[227].end |
691.82159375 |
transcript.pyannote[228].speaker |
SPEAKER_01 |
transcript.pyannote[228].start |
693.08721875 |
transcript.pyannote[228].end |
694.20096875 |
transcript.pyannote[229].speaker |
SPEAKER_01 |
transcript.pyannote[229].start |
695.09534375 |
transcript.pyannote[229].end |
695.12909375 |
transcript.pyannote[230].speaker |
SPEAKER_01 |
transcript.pyannote[230].start |
695.14596875 |
transcript.pyannote[230].end |
695.17971875 |
transcript.pyannote[231].speaker |
SPEAKER_01 |
transcript.pyannote[231].start |
697.03596875 |
transcript.pyannote[231].end |
698.06534375 |
transcript.pyannote[232].speaker |
SPEAKER_01 |
transcript.pyannote[232].start |
699.93846875 |
transcript.pyannote[232].end |
700.47846875 |
transcript.pyannote[233].speaker |
SPEAKER_01 |
transcript.pyannote[233].start |
704.07284375 |
transcript.pyannote[233].end |
716.99909375 |
transcript.pyannote[234].speaker |
SPEAKER_00 |
transcript.pyannote[234].start |
715.32846875 |
transcript.pyannote[234].end |
717.67409375 |
transcript.pyannote[235].speaker |
SPEAKER_01 |
transcript.pyannote[235].start |
717.67409375 |
transcript.pyannote[235].end |
717.85971875 |
transcript.pyannote[236].speaker |
SPEAKER_00 |
transcript.pyannote[236].start |
719.26034375 |
transcript.pyannote[236].end |
719.68221875 |
transcript.pyannote[237].speaker |
SPEAKER_00 |
transcript.pyannote[237].start |
720.54284375 |
transcript.pyannote[237].end |
723.44534375 |
transcript.pyannote[238].speaker |
SPEAKER_01 |
transcript.pyannote[238].start |
725.20034375 |
transcript.pyannote[238].end |
726.12846875 |
transcript.pyannote[239].speaker |
SPEAKER_00 |
transcript.pyannote[239].start |
725.58846875 |
transcript.pyannote[239].end |
728.77784375 |
transcript.pyannote[240].speaker |
SPEAKER_01 |
transcript.pyannote[240].start |
731.59596875 |
transcript.pyannote[240].end |
734.27909375 |
transcript.pyannote[241].speaker |
SPEAKER_00 |
transcript.pyannote[241].start |
733.72221875 |
transcript.pyannote[241].end |
736.74284375 |
transcript.pyannote[242].speaker |
SPEAKER_01 |
transcript.pyannote[242].start |
736.84409375 |
transcript.pyannote[242].end |
740.05034375 |
transcript.pyannote[243].speaker |
SPEAKER_00 |
transcript.pyannote[243].start |
740.42159375 |
transcript.pyannote[243].end |
742.39596875 |
transcript.pyannote[244].speaker |
SPEAKER_01 |
transcript.pyannote[244].start |
742.37909375 |
transcript.pyannote[244].end |
742.73346875 |
transcript.pyannote[245].speaker |
SPEAKER_00 |
transcript.pyannote[245].start |
743.61096875 |
transcript.pyannote[245].end |
745.45034375 |
transcript.pyannote[246].speaker |
SPEAKER_01 |
transcript.pyannote[246].start |
745.50096875 |
transcript.pyannote[246].end |
745.97346875 |
transcript.pyannote[247].speaker |
SPEAKER_00 |
transcript.pyannote[247].start |
745.78784375 |
transcript.pyannote[247].end |
749.02784375 |
transcript.pyannote[248].speaker |
SPEAKER_01 |
transcript.pyannote[248].start |
749.06159375 |
transcript.pyannote[248].end |
750.24284375 |
transcript.pyannote[249].speaker |
SPEAKER_00 |
transcript.pyannote[249].start |
749.71971875 |
transcript.pyannote[249].end |
751.67721875 |
transcript.pyannote[250].speaker |
SPEAKER_00 |
transcript.pyannote[250].start |
751.84596875 |
transcript.pyannote[250].end |
754.51221875 |
transcript.pyannote[251].speaker |
SPEAKER_00 |
transcript.pyannote[251].start |
754.56284375 |
transcript.pyannote[251].end |
756.31784375 |
transcript.pyannote[252].speaker |
SPEAKER_00 |
transcript.pyannote[252].start |
758.29221875 |
transcript.pyannote[252].end |
758.71409375 |
transcript.pyannote[253].speaker |
SPEAKER_00 |
transcript.pyannote[253].start |
759.43971875 |
transcript.pyannote[253].end |
760.03034375 |
transcript.pyannote[254].speaker |
SPEAKER_00 |
transcript.pyannote[254].start |
760.18221875 |
transcript.pyannote[254].end |
772.90596875 |
transcript.pyannote[255].speaker |
SPEAKER_01 |
transcript.pyannote[255].start |
768.09659375 |
transcript.pyannote[255].end |
768.21471875 |
transcript.pyannote[256].speaker |
SPEAKER_01 |
transcript.pyannote[256].start |
768.38346875 |
transcript.pyannote[256].end |
768.78846875 |
transcript.pyannote[257].speaker |
SPEAKER_01 |
transcript.pyannote[257].start |
770.34096875 |
transcript.pyannote[257].end |
770.74596875 |
transcript.pyannote[258].speaker |
SPEAKER_01 |
transcript.pyannote[258].start |
771.25221875 |
transcript.pyannote[258].end |
771.38721875 |
transcript.pyannote[259].speaker |
SPEAKER_00 |
transcript.pyannote[259].start |
772.95659375 |
transcript.pyannote[259].end |
772.97346875 |
transcript.whisperx[0].start |
3.851 |
transcript.whisperx[0].end |
5.572 |
transcript.whisperx[0].text |
謝謝主席有請紅部長謝謝陳委員部長你剛剛在回答陳敬輝委員的時候你說警消組工會最有爭議的是什麼部分你說是罷工權最有爭議我認為現在社會上面就是說看法不一的確實是針對罷工權的部分什麼叫爭議爭議就是大家 |
transcript.whisperx[1].start |
30.831 |
transcript.whisperx[1].end |
31.932 |
transcript.whisperx[1].text |
請部長要有科學證據 |
transcript.whisperx[2].start |
54.502 |
transcript.whisperx[2].end |
65.025 |
transcript.whisperx[2].text |
我說的爭議的問題我不是要否認我不是要說因為我知道對公會來說罷工權很重要爭議要有針對你同意嗎?爭議要有針對你都有國家級民調嘛不是隨便網路上大家這樣說一個平台就解決啦爭議不是隨便說說的你現在是部長喔短短幾天你從這個監督別人變成被監督人請問部長你把這個角色轉換完成了嗎? |
transcript.whisperx[3].start |
80.509 |
transcript.whisperx[3].end |
93.881 |
transcript.whisperx[3].text |
我們當然希望盡快然後也在適應中那也很謝謝很多同仁的協助你公開說你不用被恭喜那我倒是這個態度給予肯定因為畢竟這是犧牲了一條人命之後的換來的一個結果 |
transcript.whisperx[4].start |
95.563 |
transcript.whisperx[4].end |
123.148 |
transcript.whisperx[4].text |
大家都很難過發生這樣的事情那當時勞動部的這個調查報告不僅沒有辦法釐清真相嘛這是火上加油嘛才會有今天的結果所以我向部長你要還給北屬北分屬同仁的家屬一個公道要還給全台灣人民一個真相啊這是我們現在正在做的希望做的事情那本席提的問題請部長時問時答不要閃躲啊不要呼嚨我不要和氣可以嗎可以嗎 |
transcript.whisperx[5].start |
129.728 |
transcript.whisperx[5].end |
139.899 |
transcript.whisperx[5].text |
這位分署長過去的長官說他沒有收到相關的檢舉這事情我沒有辦法接受連我自己因為我之前在衛環我都聽過相關的傳聞 |
transcript.whisperx[6].start |
142.739 |
transcript.whisperx[6].end |
145.66 |
transcript.whisperx[6].text |
你聽到這個鬼故事之後隔了多久隔了多久你向勞動部反映 |
transcript.whisperx[7].start |
173.225 |
transcript.whisperx[7].end |
198.781 |
transcript.whisperx[7].text |
跟委員報告其實這是我在媒體上面我們其實說明過第一個因為確實你知道我上一屆:聽到又何時向勞動部反映你當時是立委啊其實是其實並不是今年二月現在大家一直說二月並不是二月沒有關係是隔了多久所以我沒有問你日期是隔了多久在應該是在去年隔了多久你聽到這個訊息然後隔了多久你的勞動部反映應該沒有多久但是具體的時間幾天幾個月幾週 |
transcript.whisperx[8].start |
203.086 |
transcript.whisperx[8].end |
204.047 |
transcript.whisperx[8].text |
那當時是向勞動部反映? |
transcript.whisperx[9].start |
227.148 |
transcript.whisperx[9].end |
247.103 |
transcript.whisperx[9].text |
那你有沒有持續關心?反應後就結束啦有沒有持續關心?我的個性都追到底耶你是比我更優秀的委員不是嗎?更資深優秀的委員你有沒有持續關心?我好像沒聽過你質詢的那你反應不就身為立委你不追究勞動部的責任嗎? |
transcript.whisperx[10].start |
255.07 |
transcript.whisperx[10].end |
284.37 |
transcript.whisperx[10].text |
向委員報告確實我們那時候是有相關的聽聞但坦白說因為不是有陳情人來跟我陳情或者是我當時手上有具體的證據聽的時候就要去問啊所以當時我聽聞以後我當時的作用就像我剛才說我沒有當時沒有行政相關的管理權限我其實就跟勞動部做相關的反應部長如果當立委你都有追究權追究的責任你當時都沒有這樣做那我現在怎麼知道你當了你現在有行政權你會辦到底啊 |
transcript.whisperx[11].start |
285.73 |
transcript.whisperx[11].end |
304.779 |
transcript.whisperx[11].text |
我現在當然要辦到底你公開跟大家說你要辦到底嗎當然時間還有時間喔我們現在就在辦當然辦到底但事實上二月啊二月的時候啊那貴黨的這個議員當然就有提出來這個不但霸凌還貪污啊剛剛前面的委員都提到這些事情那不了了之嘛 |
transcript.whisperx[12].start |
305.599 |
transcript.whisperx[12].end |
318.469 |
transcript.whisperx[12].text |
這就是不了了之嘛那當時約談這個我很重視這個部分因為我想在前端去了解問題為什麼後面沒辦法阻止悲劇發生當時這個約談謝宜蓉的王安邦次長突然離職了 |
transcript.whisperx[13].start |
321.195 |
transcript.whisperx[13].end |
347.364 |
transcript.whisperx[13].text |
何部長在上次質詢的時候答應我會重啟重啟二月陳情案的調查而且一周內完成那當時因為你還沒有就任部長可是你現在相任一周內你要蓋瓜承受請問調查的結果是什麼到底二月的陳情案調查的結果是什麼向陳委員說明目前就這個可能涉及到標案跟採購的部分就這部分 |
transcript.whisperx[14].start |
348.826 |
transcript.whisperx[14].end |
352.79 |
transcript.whisperx[14].text |
其實檢調已經開始在查二月只有標案跟採購案沒有霸凌案 |
transcript.whisperx[15].start |
353.595 |
transcript.whisperx[15].end |
382.862 |
transcript.whisperx[15].text |
就我知道當時就我目前理解的資訊是當時主要是針對這個是舊的東西已經做完了欸這不能修改不能偽造文書欸那是什麼就什麼啊就我理解齁欸你看得到啊為什麼會就你理解你看得到啊我才有就我理解啊我說就我理解的資訊當時比較不是針對霸凌案的問題比較是針對一些經費使用的問題經費使用更嚴重啊刑法啊所以我說在經費使用的問題在標案或採購上面的誰在斥案到底誰在斥案 |
transcript.whisperx[16].start |
387.258 |
transcript.whisperx[16].end |
410.075 |
transcript.whisperx[16].text |
目前確實檢調針對尤其是標案或者是採購的問題下面目前正在偵辦那我們部裡面對於這些檢調偵辦我們會全力配合但是我今天前面兩集我也是關注這個部分這個也很重要我今天關注是那條人命就是說你說二月調查沒有提及霸凌案你確定 |
transcript.whisperx[17].start |
410.946 |
transcript.whisperx[17].end |
429.878 |
transcript.whisperx[17].text |
就我目前看到的資料裡面他主要是針對經費的使用的狀況你說沒有談霸凌案那到底就誰吃案啊許明春說是王安邦沒有往上呈報啊那林淑芬說謝宜蓉的靠山是許明春啊那到底真相是怎麼樣民進黨派新內鬥鬥出一條人命是這樣嗎社會能接受嗎 |
transcript.whisperx[18].start |
433.939 |
transcript.whisperx[18].end |
434.059 |
transcript.whisperx[18].text |
陳昭姿 |
transcript.whisperx[19].start |
457.495 |
transcript.whisperx[19].end |
465.602 |
transcript.whisperx[19].text |
陳委員因為現在這件事情正在檢調其實檢調有來檢調歸檢調你內部有原來的約談記錄陳委員我在這邊可以說其實檢調針對其實有來跟我們說針對標案跟採購的部分因為目前檢調正在調查所以他們希望針對這個採購跟標案的部分我們先暫緩 |
transcript.whisperx[20].start |
479.718 |
transcript.whisperx[20].end |
480.638 |
transcript.whisperx[20].text |
我們先讓台上代表發言 |
transcript.whisperx[21].start |
509.551 |
transcript.whisperx[21].end |
537.468 |
transcript.whisperx[21].text |
我們會把這樣這樣的聲音也一樣我們會把它帶回到行政部門裡面部長當時5月1號勞動節你上台了很享受那麼多的群眾吧這種信念我也有過啊部長你答應啊你答應把這個聲音帶回行政部門跟立法院當時你是立法委員那你有嗎還是只有你進去這個勞工的聲音沒有走到勞動部結果是你自己走到勞動部當然有反應給行政部門你有反應嗎當然那我請教你齊建價什麼時候還給勞工 |
transcript.whisperx[22].start |
539.544 |
transcript.whisperx[22].end |
561.781 |
transcript.whisperx[22].text |
第一我知道很多委員跟勞工朋友都很關心工時問題那我當然支持勞工降低工時上面的負擔那行動行動那當然現在講到基金價也就是關於國定價值調整的問題現在這個國定價值調整的問題目前主管的法規是今天是節日實施辦法這個法規的主管是內政部 |
transcript.whisperx[23].start |
563.347 |
transcript.whisperx[23].end |
590.041 |
transcript.whisperx[23].text |
我當然會來反映勞工各種在這個議題上面的意見但確實現在關於國定假日調整的問題他的主管法規是在內政部我同意這個部分你可以有一些時間我以後再來再進一步瞭解當天你到五一勞動的那個場合的時候他們有提出了五大訴求跟16項主張你不用一一背出來你記得幾條 |
transcript.whisperx[24].start |
592.542 |
transcript.whisperx[24].end |
616.675 |
transcript.whisperx[24].text |
你會記嗎?稍後會記嗎?你會記嗎?我們可以再提醒我,對。阿不然你去啊是去啊?因為時間真的有點久,對。阿但是你上去又聽他們講話阿?當然當然當然。阿不然你去做秀阿?阿隨便幾條都問不出來喔?阿部長,你這臨危秀秘是沒有秘樂旗的喔?你沒有秘樂旗喔?你趕快上到,要趕快進入狀況捏。 |
transcript.whisperx[25].start |
624.269 |
transcript.whisperx[25].end |
639.181 |
transcript.whisperx[25].text |
環境部部長在接受專訪時談到上任時他就發一個公文要主管如果下班要發LINE給員工要寫專案加班只要下班發LINE就算加班那我想請教勞動部會比照嗎?你認同嗎?這是環境部啦你認同嗎? |
transcript.whisperx[26].start |
646.768 |
transcript.whisperx[26].end |
667.159 |
transcript.whisperx[26].text |
確實在一些國外的情境裡面會有像類似像這樣子的規定啦你可能要想一想我當然覺得你可以跟他不同意但是我只是問你說你要不要比照呢那如果晚上8點你想想看晚上8點署管發賴就8點半他才看到啊那個加班時間算多久啊怎麼計算 |
transcript.whisperx[27].start |
669.504 |
transcript.whisperx[27].end |
688.77 |
transcript.whisperx[27].text |
我為什麼這樣問呢?因為你自己六月也向卓院長提到啊,輪班的公務員加班的餘數應該併進,對,你還記得,好所以我希望你從立委轉換到部長,不要忘記過去的主張喔不要帶頭壓榨基層喔這絕對不會忘記的,對好,下一個影片 |
transcript.whisperx[28].start |
692.432 |
transcript.whisperx[28].end |
692.552 |
transcript.whisperx[28].text |
陳昭姿 |
transcript.whisperx[29].start |
705.062 |
transcript.whisperx[29].end |
710.247 |
transcript.whisperx[29].text |
部長警察維持秩序你的助理需要這樣咆哮嗎?你的助理咆哮的意思是不輸給你在立法院執行的氣勢 |
transcript.whisperx[30].start |
731.656 |
transcript.whisperx[30].end |
756.121 |
transcript.whisperx[30].text |
委員,我其實有在...你有把他帶到勞動部嗎?你有把他帶到勞動部去嗎?他沒有在我目前部長室辦公室裡面。沒有在...所以帶到勞動部去啦?沒有。你沒有帶到勞動部,我再確定。沒有。你有權利,但是我要問你,你有沒有把他帶到勞動部去?他沒有跟著我到勞動部。他沒有帶...沒有跟著你到勞動部去。好,沒有,不然我真擔心勞動部就跑出了謝宜蓉。走了一個謝宜蓉跑出了謝宜蓉。 |
transcript.whisperx[31].start |
759.698 |
transcript.whisperx[31].end |
769.97 |
transcript.whisperx[31].text |
總之過去做了事講的話我們都要負責任反走過必留下痕跡希望你善待勞工善待基層好好經營你現在負責的部門 |
IVOD_ID |
157756 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/157756 |
日期 |
2024-12-04 |
會議資料.會議代碼 |
委員會-11-2-26-12 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
12 |
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12次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-12-04T10:10:22+08:00 |
結束時間 |
2024-12-04T10:23:15+08:00 |
支援功能[0] |
ai-transcript |