| IVOD_ID |
165284 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/165284 |
| 日期 |
2025-11-12 |
| 會議資料.會議代碼 |
委員會-11-4-26-9 |
| 會議資料.會議代碼:str |
第11屆第4會期社會福利及衛生環境委員會第9次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
4 |
| 會議資料.會次 |
9 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
26 |
| 會議資料.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4會期社會福利及衛生環境委員會第9次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-11-12T11:40:34+08:00 |
| 結束時間 |
2025-11-12T11:51:22+08:00 |
| 影片長度 |
00:10:48 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/a35f0de19abcdbe3fd8d03330f327a74b62a46119727b9b9a983a90274432617d86c46796a0cfb5a5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
蘇清泉 |
| 委員發言時間 |
11:40:34 - 11:51:22 |
| 會議時間 |
2025-11-12T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期社會福利及衛生環境委員會第9次全體委員會議(事由:邀請勞動部部長列席報告業務概況,並備質詢。) |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
2.34284375 |
| transcript.pyannote[0].end |
6.94971875 |
| transcript.pyannote[1].speaker |
SPEAKER_01 |
| transcript.pyannote[1].start |
8.38409375 |
| transcript.pyannote[1].end |
12.82221875 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
11.77596875 |
| transcript.pyannote[2].end |
12.67034375 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
12.95721875 |
| transcript.pyannote[3].end |
17.22659375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
15.15096875 |
| transcript.pyannote[4].end |
15.40409375 |
| transcript.pyannote[5].speaker |
SPEAKER_01 |
| transcript.pyannote[5].start |
17.36159375 |
| transcript.pyannote[5].end |
18.10409375 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
20.55096875 |
| transcript.pyannote[6].end |
21.20909375 |
| transcript.pyannote[7].speaker |
SPEAKER_01 |
| transcript.pyannote[7].start |
24.24659375 |
| transcript.pyannote[7].end |
29.34284375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
29.84909375 |
| transcript.pyannote[8].end |
33.76409375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
35.41784375 |
| transcript.pyannote[9].end |
37.25721875 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
35.43471875 |
| transcript.pyannote[10].end |
35.80596875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
36.83534375 |
| transcript.pyannote[11].end |
37.20659375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
37.25721875 |
| transcript.pyannote[12].end |
37.86471875 |
| transcript.pyannote[13].speaker |
SPEAKER_01 |
| transcript.pyannote[13].start |
37.86471875 |
| transcript.pyannote[13].end |
37.88159375 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
39.07971875 |
| transcript.pyannote[14].end |
44.93534375 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
48.56346875 |
| transcript.pyannote[15].end |
49.03596875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
49.03596875 |
| transcript.pyannote[16].end |
50.43659375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
52.39409375 |
| transcript.pyannote[17].end |
54.77346875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
55.81971875 |
| transcript.pyannote[18].end |
57.91221875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
58.50284375 |
| transcript.pyannote[19].end |
69.28596875 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
69.69096875 |
| transcript.pyannote[20].end |
72.20534375 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
73.08284375 |
| transcript.pyannote[21].end |
73.33596875 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
74.12909375 |
| transcript.pyannote[22].end |
75.15846875 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
76.13721875 |
| transcript.pyannote[23].end |
79.69784375 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
80.20409375 |
| transcript.pyannote[24].end |
83.24159375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
83.71409375 |
| transcript.pyannote[25].end |
92.53971875 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
93.58596875 |
| transcript.pyannote[26].end |
96.15096875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
96.38721875 |
| transcript.pyannote[27].end |
103.22159375 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
103.77846875 |
| transcript.pyannote[28].end |
107.87909375 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
108.95909375 |
| transcript.pyannote[29].end |
124.68659375 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
126.47534375 |
| transcript.pyannote[30].end |
132.92159375 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
133.27596875 |
| transcript.pyannote[31].end |
136.92096875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
138.87846875 |
| transcript.pyannote[32].end |
143.53596875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
143.58659375 |
| transcript.pyannote[33].end |
143.89034375 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
144.21096875 |
| transcript.pyannote[34].end |
152.12534375 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
152.49659375 |
| transcript.pyannote[35].end |
152.51346875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
152.51346875 |
| transcript.pyannote[36].end |
155.53409375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
152.53034375 |
| transcript.pyannote[37].end |
152.69909375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
157.37346875 |
| transcript.pyannote[38].end |
157.39034375 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
157.39034375 |
| transcript.pyannote[39].end |
173.06721875 |
| transcript.pyannote[40].speaker |
SPEAKER_01 |
| transcript.pyannote[40].start |
173.96159375 |
| transcript.pyannote[40].end |
176.10471875 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
176.84721875 |
| transcript.pyannote[41].end |
177.43784375 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
178.43346875 |
| transcript.pyannote[42].end |
181.01534375 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
181.72409375 |
| transcript.pyannote[43].end |
203.15534375 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
204.08346875 |
| transcript.pyannote[44].end |
205.85534375 |
| transcript.pyannote[45].speaker |
SPEAKER_01 |
| transcript.pyannote[45].start |
207.67784375 |
| transcript.pyannote[45].end |
215.28846875 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
215.54159375 |
| transcript.pyannote[46].end |
220.45221875 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
221.17784375 |
| transcript.pyannote[47].end |
221.70096875 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
223.06784375 |
| transcript.pyannote[48].end |
227.57346875 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
227.75909375 |
| transcript.pyannote[49].end |
230.74596875 |
| transcript.pyannote[50].speaker |
SPEAKER_01 |
| transcript.pyannote[50].start |
231.30284375 |
| transcript.pyannote[50].end |
233.04096875 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
234.37409375 |
| transcript.pyannote[51].end |
236.29784375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
236.83784375 |
| transcript.pyannote[52].end |
240.29721875 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
236.88846875 |
| transcript.pyannote[53].end |
237.31034375 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
241.34346875 |
| transcript.pyannote[54].end |
242.10284375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
242.10284375 |
| transcript.pyannote[55].end |
245.73096875 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
245.73096875 |
| transcript.pyannote[56].end |
245.76471875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
246.42284375 |
| transcript.pyannote[57].end |
246.47346875 |
| transcript.pyannote[58].speaker |
SPEAKER_01 |
| transcript.pyannote[58].start |
246.47346875 |
| transcript.pyannote[58].end |
248.51534375 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
248.78534375 |
| transcript.pyannote[59].end |
249.56159375 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
249.76409375 |
| transcript.pyannote[60].end |
252.16034375 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
252.85221875 |
| transcript.pyannote[61].end |
255.60284375 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
255.99096875 |
| transcript.pyannote[62].end |
256.44659375 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
257.29034375 |
| transcript.pyannote[63].end |
258.03284375 |
| transcript.pyannote[64].speaker |
SPEAKER_01 |
| transcript.pyannote[64].start |
258.94409375 |
| transcript.pyannote[64].end |
261.32346875 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
262.25159375 |
| transcript.pyannote[65].end |
267.44909375 |
| transcript.pyannote[66].speaker |
SPEAKER_01 |
| transcript.pyannote[66].start |
268.69784375 |
| transcript.pyannote[66].end |
269.84534375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
269.15346875 |
| transcript.pyannote[67].end |
317.63534375 |
| transcript.pyannote[68].speaker |
SPEAKER_01 |
| transcript.pyannote[68].start |
317.28096875 |
| transcript.pyannote[68].end |
330.29159375 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
329.21159375 |
| transcript.pyannote[69].end |
342.79596875 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
333.51471875 |
| transcript.pyannote[70].end |
334.03784375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
343.52159375 |
| transcript.pyannote[71].end |
345.79971875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
346.32284375 |
| transcript.pyannote[72].end |
355.84034375 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
357.66284375 |
| transcript.pyannote[73].end |
365.03721875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
365.89784375 |
| transcript.pyannote[74].end |
369.45846875 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
369.55971875 |
| transcript.pyannote[75].end |
381.42284375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
382.31721875 |
| transcript.pyannote[76].end |
382.35096875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
382.35096875 |
| transcript.pyannote[77].end |
382.77284375 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
382.36784375 |
| transcript.pyannote[78].end |
384.03846875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
384.03846875 |
| transcript.pyannote[79].end |
389.89409375 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
389.47221875 |
| transcript.pyannote[80].end |
391.66596875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
391.26096875 |
| transcript.pyannote[81].end |
391.58159375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
391.66596875 |
| transcript.pyannote[82].end |
391.81784375 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
391.81784375 |
| transcript.pyannote[83].end |
392.22284375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
392.22284375 |
| transcript.pyannote[84].end |
396.44159375 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
392.37471875 |
| transcript.pyannote[85].end |
394.41659375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
397.16721875 |
| transcript.pyannote[86].end |
397.63971875 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
397.42034375 |
| transcript.pyannote[87].end |
397.55534375 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
397.87596875 |
| transcript.pyannote[88].end |
399.14159375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
399.22596875 |
| transcript.pyannote[89].end |
399.51284375 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
400.13721875 |
| transcript.pyannote[90].end |
404.42346875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
401.65596875 |
| transcript.pyannote[91].end |
401.94284375 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
404.76096875 |
| transcript.pyannote[92].end |
406.60034375 |
| transcript.pyannote[93].speaker |
SPEAKER_01 |
| transcript.pyannote[93].start |
406.92096875 |
| transcript.pyannote[93].end |
408.43971875 |
| transcript.pyannote[94].speaker |
SPEAKER_01 |
| transcript.pyannote[94].start |
409.09784375 |
| transcript.pyannote[94].end |
411.46034375 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
411.84846875 |
| transcript.pyannote[95].end |
415.10534375 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
415.57784375 |
| transcript.pyannote[96].end |
416.91096875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
417.61971875 |
| transcript.pyannote[97].end |
422.96909375 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
424.11659375 |
| transcript.pyannote[98].end |
432.57096875 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
433.48221875 |
| transcript.pyannote[99].end |
436.90784375 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
437.09346875 |
| transcript.pyannote[100].end |
445.09221875 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
445.75034375 |
| transcript.pyannote[101].end |
452.92221875 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
452.92221875 |
| transcript.pyannote[102].end |
461.57909375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
461.88284375 |
| transcript.pyannote[103].end |
483.07784375 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
483.19596875 |
| transcript.pyannote[104].end |
484.00596875 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
483.21284375 |
| transcript.pyannote[105].end |
505.38659375 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
505.72409375 |
| transcript.pyannote[106].end |
516.96284375 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
518.29596875 |
| transcript.pyannote[107].end |
520.81034375 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
520.45596875 |
| transcript.pyannote[108].end |
522.27846875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
522.24471875 |
| transcript.pyannote[109].end |
536.25096875 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
536.36909375 |
| transcript.pyannote[110].end |
540.89159375 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
540.87471875 |
| transcript.pyannote[111].end |
550.57784375 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
541.21221875 |
| transcript.pyannote[112].end |
544.62096875 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
546.84846875 |
| transcript.pyannote[113].end |
547.18596875 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
551.74221875 |
| transcript.pyannote[114].end |
552.94034375 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
554.72909375 |
| transcript.pyannote[115].end |
563.30159375 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
563.80784375 |
| transcript.pyannote[116].end |
565.56284375 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
566.81159375 |
| transcript.pyannote[117].end |
567.48659375 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
568.00971875 |
| transcript.pyannote[118].end |
573.84846875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
574.50659375 |
| transcript.pyannote[119].end |
581.57721875 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
574.67534375 |
| transcript.pyannote[120].end |
575.29971875 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
582.20159375 |
| transcript.pyannote[121].end |
589.52534375 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
590.45346875 |
| transcript.pyannote[122].end |
592.03971875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
592.54596875 |
| transcript.pyannote[123].end |
595.06034375 |
| transcript.pyannote[124].speaker |
SPEAKER_01 |
| transcript.pyannote[124].start |
595.06034375 |
| transcript.pyannote[124].end |
595.11096875 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
595.54971875 |
| transcript.pyannote[125].end |
595.58346875 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
595.58346875 |
| transcript.pyannote[126].end |
596.15721875 |
| transcript.pyannote[127].speaker |
SPEAKER_01 |
| transcript.pyannote[127].start |
596.15721875 |
| transcript.pyannote[127].end |
605.40471875 |
| transcript.pyannote[128].speaker |
SPEAKER_01 |
| transcript.pyannote[128].start |
605.82659375 |
| transcript.pyannote[128].end |
611.00721875 |
| transcript.pyannote[129].speaker |
SPEAKER_01 |
| transcript.pyannote[129].start |
611.47971875 |
| transcript.pyannote[129].end |
618.21284375 |
| transcript.pyannote[130].speaker |
SPEAKER_01 |
| transcript.pyannote[130].start |
618.73596875 |
| transcript.pyannote[130].end |
621.08159375 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
618.76971875 |
| transcript.pyannote[131].end |
619.86659375 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
620.77784375 |
| transcript.pyannote[132].end |
622.92096875 |
| transcript.pyannote[133].speaker |
SPEAKER_01 |
| transcript.pyannote[133].start |
623.17409375 |
| transcript.pyannote[133].end |
623.47784375 |
| transcript.pyannote[134].speaker |
SPEAKER_01 |
| transcript.pyannote[134].start |
624.52409375 |
| transcript.pyannote[134].end |
626.75159375 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
626.19471875 |
| transcript.pyannote[135].end |
628.82721875 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
629.51909375 |
| transcript.pyannote[136].end |
633.38346875 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
633.63659375 |
| transcript.pyannote[137].end |
636.03284375 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
636.92721875 |
| transcript.pyannote[138].end |
639.77909375 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
641.12909375 |
| transcript.pyannote[139].end |
641.39909375 |
| transcript.pyannote[140].speaker |
SPEAKER_01 |
| transcript.pyannote[140].start |
644.55471875 |
| transcript.pyannote[140].end |
649.14471875 |
| transcript.whisperx[0].start |
2.39 |
| transcript.whisperx[0].end |
4.472 |
| transcript.whisperx[0].text |
謝謝主席 我們請部長勞動力發展署黃署長來 黃署長說得很好 |
| transcript.whisperx[1].start |
24.301 |
| transcript.whisperx[1].end |
49.824 |
| transcript.whisperx[1].text |
我今天問你三個問題 我簡單啦 我在形容外殼 沒辦法 拖不下去了第一個問題 你今年11月25 九陣嘛 對不對你怎麼知道你同時九陣都不知道啊我有點忘了日期了我都要給你monitor 要一年啊你對你一年來的表現 你自己判幾分自己打分數 |
| transcript.whisperx[2].start |
52.421 |
| transcript.whisperx[2].end |
72.011 |
| transcript.whisperx[2].text |
很不會被我覺得不用自己打分數吧我用比較客觀看啦 我覺得你很幼老啦很細膩但是細膩有餘啦 私立有餘 開創不太夠這伴隨第二個問題我問 如果我跟國昌有說 |
| transcript.whisperx[3].start |
80.27 |
| transcript.whisperx[3].end |
101.143 |
| transcript.whisperx[3].text |
這八十回以上不用用八十兩票這也是柯文哲提出來 也是侯友宜提出來我這裡要跟你說就是侯友宜這個案子是我提的所以我給他提出來是要做他的競選的政見所以我對這個我非常關心我們要過這個法的時候 |
| transcript.whisperx[4].start |
109.011 |
| transcript.whisperx[4].end |
136.679 |
| transcript.whisperx[4].text |
大家都說會加幾萬尤其是我們這些女性的那個立法委員都一直說會增加十萬二十萬會增加多少的會排擠但是我看因為像這個外籍看護沒有在縮沒有在縮不然大家都很害怕台灣台灣善戒還是比較多不然這點你有同意嗎 |
| transcript.whisperx[5].start |
139.045 |
| transcript.whisperx[5].end |
155.097 |
| transcript.whisperx[5].text |
當然政府的政策上面希望盡量的去拉近不同家庭的處境所以你這樣考慮太多結果呢 實施了到現在看起來也沒有像我們想的那麼嚴重我們花了很大的力氣去設計配套 |
| transcript.whisperx[6].start |
157.438 |
| transcript.whisperx[6].end |
170.946 |
| transcript.whisperx[6].text |
不可以說大家像八十幾歲的人用身體運用會跑會跳 要穿著做看護 還要花這麼多錢我感覺那是不可能的事情 賺錢不太好賺 勞工改革賺錢不太好賺所以我早就預測說 不像你這麼嚴重 |
| transcript.whisperx[7].start |
181.749 |
| transcript.whisperx[7].end |
187.292 |
| transcript.whisperx[7].text |
第二就是我比較高興的因為現在24個24萬個外籍看護裡面以前是21萬變22萬變23萬現在這裡面你說發揮去捨棄重的然後他會去要跟人照顧比較輕盈的這是我們高興的嘛會排除一些重症的沒有人要照顧結果我看也不是這樣 |
| transcript.whisperx[8].start |
207.714 |
| transcript.whisperx[8].end |
230.049 |
| transcript.whisperx[8].text |
我想外籍康復來講 他要捱的可能是待遇啦還有工作的磁場 還有氛圍啦你如果說僱主的人對他比較好 或是說再給他一點養活這樣 他如果沒有那樣照顧重症的跟照顧輕症的 我看差不多啦照顧重症的反而是壓力變那麼大反正聰明就聰明啦 |
| transcript.whisperx[9].start |
234.44 |
| transcript.whisperx[9].end |
260.83 |
| transcript.whisperx[9].text |
照顧親政的反省還會出問題呢這個這樣的敘述行政部門不能講啊你不能講啊而且我們不能這樣想啊好我們不能這樣想啊就是說重症會沒人顧他會選僱主然後跑掉也沒有像我們想的那麼的嚴重啦對不對黃署長署長有沒有你看到這個情形沒有 |
| transcript.whisperx[10].start |
262.304 |
| transcript.whisperx[10].end |
290.811 |
| transcript.whisperx[10].text |
就是說大家都跑去照顧年輕的然後就自己選僱主然後跑來跑去那個我來回答啦第一個是其實我們還是有聽到會有一些重症的家庭跟我們反映其實家裡的看護外籍看護工其實的確這個在好像有點想要在外面去找工作然後找比較輕的工作這個狀況現象不是沒有有這樣的聲音我們陸續都有聽到 |
| transcript.whisperx[11].start |
292.051 |
| transcript.whisperx[11].end |
314.511 |
| transcript.whisperx[11].text |
但第二個事情是的確我們從行政部門角度我們本來就要為比較嚴峻的狀況去做設想我們不能都假設我都不去設想大家又會說很輕忽我們要為比較嚴峻的狀況去做設想並擬定相關的配套所以當初在上路的時候我們也提出六大配套也希望能夠透過配套來減少可能原本大家擔心的衝擊 |
| transcript.whisperx[12].start |
315.772 |
| transcript.whisperx[12].end |
342.508 |
| transcript.whisperx[12].text |
這也是我們在設計配套的原因所以你們的設計配套盡了很多力你們還有什麼量化的data讓我們可以感覺你們有努力或是你們有 我想這種data吃牌吃牌吃牌其實包括我們在這次我們擴大了直接擴大免評這擴大免評也讓申請的件數從申請的案件數從五成變七成其實現在有高達七成其實都適用多元免評的資格 |
| transcript.whisperx[13].start |
343.601 |
| transcript.whisperx[13].end |
364.567 |
| transcript.whisperx[13].text |
所以其實很多的配套 配套的範圍也擴大那這都是我們希望符合大家民眾的需求之下 盡量來減少衝擊的做法我倒是覺得啦 很多的北省 像我去屏東高秋那一席家家屬在懷念的是什麼呢 |
| transcript.whisperx[14].start |
365.953 |
| transcript.whisperx[14].end |
380.609 |
| transcript.whisperx[14].text |
他說我這個老人都重症有的重大三病等等我已經跟經濟的人不是很好聽這個話就好來做康復是薄不理睬下面的要到處去你又把我收到救援安定會這種的收減免沒有啦 |
| transcript.whisperx[15].start |
382.592 |
| transcript.whisperx[15].end |
403.169 |
| transcript.whisperx[15].text |
是減免還是免除如果他的經濟弱勢比方是相對是經濟上比較弱勢的其實是不用 是免救安費的是免交的 還要三千塊嘛 對吧兩千是免救安費的免交還是減免他如果是經濟弱勢的話是減免減免 那有的是免費對不過這個要弱勢啦如果我們大家相當的反應是這一點 |
| transcript.whisperx[16].start |
404.87 |
| transcript.whisperx[16].end |
429.55 |
| transcript.whisperx[16].text |
所以你就知道你嫁到那裡是對人來說有多重要好啦 這個就衍生第三個問題我們賴總統就是要叫婦女來參與勞動力這也是很好的事情啊讓這些女性投入出場我們現在的勞工是一千兩百萬人嘛 對不對你如果這些女性這裡有的請都特勤館 年齡也好你到處顧孩子 能娶給他 我也是幫養 |
| transcript.whisperx[17].start |
433.733 |
| transcript.whisperx[17].end |
461.17 |
| transcript.whisperx[17].text |
來出國 現在我們兩千多個這要怎麼做呢對我們女性就業的參與率增加社會勞動率也增加 品質也提高你們就從補助 從那點起總統一個很好的想法你現在 你還在考慮 你是在考慮什麼跟委員說明這幾個月我想我們都在評估中然後也把各種可能的情境行政院也 |
| transcript.whisperx[18].start |
462.071 |
| transcript.whisperx[18].end |
484.577 |
| transcript.whisperx[18].text |
指示了幾個原則包括必須考慮本國的勞工的狀況也必須去考慮多元家庭的需求也包括一些也許在照顧上面或者是在這個工作上面的品質然後最後也包括就是最重要的事情是說這個政策如果要實行的話那是要能夠真的減少這個照顧者的負擔台灣勞工不窮這是會越來越嚴重沒有可能會越來越好 |
| transcript.whisperx[19].start |
490.058 |
| transcript.whisperx[19].end |
502.223 |
| transcript.whisperx[19].text |
不管是製造業 不管是營建業 不管是什麼都欠人家大太爐的大壁都扣多了在做所以這個問題是越來越嚴重所以要讓這個婦女再來參與 這是好事不然說什麼五千塊要調去八千塊的 安救安定會署長你是在調什麼意思 你是 |
| transcript.whisperx[20].start |
513.387 |
| transcript.whisperx[20].end |
535.687 |
| transcript.whisperx[20].text |
用克魯莎還是根據哪一個條例我跟委員說明一個政策一個政策的推出都會有它可能會有的正面或負面的影響那我們也透過各種政策工具去思考怎麼樣減少可能會負面的影響所以各種政策工具也必須去評估 |
| transcript.whisperx[21].start |
536.448 |
| transcript.whisperx[21].end |
562.679 |
| transcript.whisperx[21].text |
所以您是 您就當沒想過要把他凍起來不要做 還是我們現在就是在評估中你這個配套就是要把他凍起來啊跟委員說明我們其實現在就是在評估中對這個安定會五千到八千你這個女性出來上班不就要賺五六萬六七萬她才知道要請因為你請一個外資班 |
| transcript.whisperx[22].start |
576.643 |
| transcript.whisperx[22].end |
588.807 |
| transcript.whisperx[22].text |
確實在這個議題上面各界有不太一樣的看法會有不同的出發點的看法那我們作為一個政策的規劃者跟評估者我們其實需要把各界的各種的看法跟需求都考慮進來 |
| transcript.whisperx[23].start |
590.532 |
| transcript.whisperx[23].end |
610.544 |
| transcript.whisperx[23].text |
所以可能會有不同的出發點但是這是從 因為從不同的角度看待的原因你這個喔 你這個如果要 人家說調到這樣你要穿喔 這些女性要投入職場的差不多都要白領階級以上的啦差不多要一個個都穿六萬以上 八萬以上 到我才穿 |
| transcript.whisperx[24].start |
611.485 |
| transcript.whisperx[24].end |
639.927 |
| transcript.whisperx[24].text |
你如果說 像藍綠的 你說要叫他請那不可能的事他請不上去 到處自己顧孩子就好啊所以這個 美意就沒了各個因素我們都要綜合考慮啦示範啦 各個因素我們都必須綜合考慮因為 有很的確我們聽到有很需要的聲音但也會有一些比較一直在提醒我們跟擔心的聲音這個正反意見都存在好 |
| transcript.whisperx[25].start |
644.619 |
| transcript.whisperx[25].end |
648.766 |
| transcript.whisperx[25].text |
好 謝謝 接下來請大會委員 委員 |