| IVOD_ID |
158665 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/158665 |
| 日期 |
2025-01-02 |
| 會議資料.會議代碼 |
委員會-11-2-26-17 |
| 會議資料.會議代碼:str |
第11屆第2會期社會福利及衛生環境委員會第17次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
2 |
| 會議資料.會次 |
17 |
| 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2會期社會福利及衛生環境委員會第17次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-01-02T14:54:08+08:00 |
| 結束時間 |
2025-01-02T15:05:12+08:00 |
| 影片長度 |
00:11:04 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/186d177ad48e30e56efdf2dff7b62384c921d2cbf1168e401adefee6f0a6eb895b5cf774a2689c845ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
楊曜 |
| 委員發言時間 |
14:54:08 - 15:05:12 |
| 會議時間 |
2025-01-02T09:00:00+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17次全體委員會議（事由：請勞動部、衛生福利部、教育部就「推動友善職場、校園性騷擾與霸凌防治及長照悲歌並檢討現行長照制度缺失與長照3.0規劃」進行專題報告，並備質詢。） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
4.89096875 |
| transcript.pyannote[0].end |
6.81471875 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
7.65846875 |
| transcript.pyannote[1].end |
8.90721875 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
15.33659375 |
| transcript.pyannote[2].end |
21.32721875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
22.17096875 |
| transcript.pyannote[3].end |
27.55409375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
27.58784375 |
| transcript.pyannote[4].end |
32.83596875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
33.35909375 |
| transcript.pyannote[5].end |
34.23659375 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
34.65846875 |
| transcript.pyannote[6].end |
35.31659375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
36.48096875 |
| transcript.pyannote[7].end |
39.77159375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
40.36221875 |
| transcript.pyannote[8].end |
44.64846875 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
44.91846875 |
| transcript.pyannote[9].end |
47.23034375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
47.55096875 |
| transcript.pyannote[10].end |
53.49096875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
53.81159375 |
| transcript.pyannote[11].end |
68.49284375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
69.52221875 |
| transcript.pyannote[12].end |
74.97284375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
75.20909375 |
| transcript.pyannote[13].end |
80.27159375 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
80.77784375 |
| transcript.pyannote[14].end |
83.20784375 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
83.84909375 |
| transcript.pyannote[15].end |
101.82096875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
101.97284375 |
| transcript.pyannote[16].end |
109.38096875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
109.78596875 |
| transcript.pyannote[17].end |
110.35971875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
110.68034375 |
| transcript.pyannote[18].end |
111.38909375 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
112.51971875 |
| transcript.pyannote[19].end |
114.61221875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
115.57409375 |
| transcript.pyannote[20].end |
117.27846875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
118.59471875 |
| transcript.pyannote[21].end |
120.70409375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
120.92346875 |
| transcript.pyannote[22].end |
124.26471875 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
124.80471875 |
| transcript.pyannote[23].end |
132.07784375 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
132.75284375 |
| transcript.pyannote[24].end |
133.52909375 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
135.45284375 |
| transcript.pyannote[25].end |
136.98846875 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
137.69721875 |
| transcript.pyannote[26].end |
140.24534375 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
141.02159375 |
| transcript.pyannote[27].end |
141.86534375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
143.28284375 |
| transcript.pyannote[28].end |
145.02096875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
145.66221875 |
| transcript.pyannote[29].end |
146.64096875 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
147.23159375 |
| transcript.pyannote[30].end |
152.14221875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
153.13784375 |
| transcript.pyannote[31].end |
157.15409375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
157.20471875 |
| transcript.pyannote[32].end |
160.95096875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
162.11534375 |
| transcript.pyannote[33].end |
163.14471875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
163.56659375 |
| transcript.pyannote[34].end |
164.96721875 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
165.50721875 |
| transcript.pyannote[35].end |
166.21596875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
166.80659375 |
| transcript.pyannote[36].end |
168.22409375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
168.37596875 |
| transcript.pyannote[37].end |
169.05096875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
169.48971875 |
| transcript.pyannote[38].end |
170.80596875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
171.29534375 |
| transcript.pyannote[39].end |
171.97034375 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
172.13909375 |
| transcript.pyannote[40].end |
173.62409375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
174.23159375 |
| transcript.pyannote[41].end |
176.10471875 |
| transcript.pyannote[42].speaker |
SPEAKER_01 |
| transcript.pyannote[42].start |
177.06659375 |
| transcript.pyannote[42].end |
178.06221875 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
178.60221875 |
| transcript.pyannote[43].end |
193.19909375 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
193.41846875 |
| transcript.pyannote[44].end |
209.21346875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
200.25284375 |
| transcript.pyannote[45].end |
200.84346875 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
209.65221875 |
| transcript.pyannote[46].end |
217.97159375 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
218.54534375 |
| transcript.pyannote[47].end |
220.80659375 |
| transcript.pyannote[48].speaker |
SPEAKER_01 |
| transcript.pyannote[48].start |
221.27909375 |
| transcript.pyannote[48].end |
223.64159375 |
| transcript.pyannote[49].speaker |
SPEAKER_01 |
| transcript.pyannote[49].start |
224.02971875 |
| transcript.pyannote[49].end |
237.19221875 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
231.89346875 |
| transcript.pyannote[50].end |
232.63596875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
233.31096875 |
| transcript.pyannote[51].end |
233.34471875 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
237.51284375 |
| transcript.pyannote[52].end |
243.41909375 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
244.14471875 |
| transcript.pyannote[53].end |
254.33721875 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
254.89409375 |
| transcript.pyannote[54].end |
255.04596875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
255.04596875 |
| transcript.pyannote[55].end |
255.50159375 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
255.50159375 |
| transcript.pyannote[56].end |
267.02721875 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
267.02721875 |
| transcript.pyannote[57].end |
271.54971875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
272.71409375 |
| transcript.pyannote[58].end |
274.33409375 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
274.51971875 |
| transcript.pyannote[59].end |
274.85721875 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
275.11034375 |
| transcript.pyannote[60].end |
278.28284375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
278.29971875 |
| transcript.pyannote[61].end |
298.83659375 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
282.28221875 |
| transcript.pyannote[62].end |
282.53534375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
299.39346875 |
| transcript.pyannote[63].end |
301.65471875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
302.90346875 |
| transcript.pyannote[64].end |
321.19596875 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
321.19596875 |
| transcript.pyannote[65].end |
339.03284375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
339.03284375 |
| transcript.pyannote[66].end |
342.37409375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
342.82971875 |
| transcript.pyannote[67].end |
345.64784375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
345.96846875 |
| transcript.pyannote[68].end |
350.30534375 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
350.52471875 |
| transcript.pyannote[69].end |
351.62159375 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
352.14471875 |
| transcript.pyannote[70].end |
355.90784375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
357.00471875 |
| transcript.pyannote[71].end |
359.75534375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
359.99159375 |
| transcript.pyannote[72].end |
363.29909375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
363.65346875 |
| transcript.pyannote[73].end |
365.23971875 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
365.79659375 |
| transcript.pyannote[74].end |
371.06159375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
372.04034375 |
| transcript.pyannote[75].end |
374.82471875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
374.82471875 |
| transcript.pyannote[76].end |
382.43534375 |
| transcript.pyannote[77].speaker |
SPEAKER_01 |
| transcript.pyannote[77].start |
382.97534375 |
| transcript.pyannote[77].end |
392.18909375 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
393.18471875 |
| transcript.pyannote[78].end |
397.31909375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
397.50471875 |
| transcript.pyannote[79].end |
397.52159375 |
| transcript.pyannote[80].speaker |
SPEAKER_01 |
| transcript.pyannote[80].start |
397.52159375 |
| transcript.pyannote[80].end |
397.57221875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
397.57221875 |
| transcript.pyannote[81].end |
398.16284375 |
| transcript.pyannote[82].speaker |
SPEAKER_01 |
| transcript.pyannote[82].start |
398.16284375 |
| transcript.pyannote[82].end |
404.59221875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
404.59221875 |
| transcript.pyannote[83].end |
404.67659375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
404.71034375 |
| transcript.pyannote[84].end |
427.30596875 |
| transcript.pyannote[85].speaker |
SPEAKER_01 |
| transcript.pyannote[85].start |
427.08659375 |
| transcript.pyannote[85].end |
437.05971875 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
427.69409375 |
| transcript.pyannote[86].end |
428.31846875 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
434.83221875 |
| transcript.pyannote[87].end |
441.78471875 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
441.97034375 |
| transcript.pyannote[88].end |
444.51846875 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
445.00784375 |
| transcript.pyannote[89].end |
453.49596875 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
451.33596875 |
| transcript.pyannote[90].end |
452.93909375 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
454.13721875 |
| transcript.pyannote[91].end |
454.98096875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
454.98096875 |
| transcript.pyannote[92].end |
464.29596875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
455.63909375 |
| transcript.pyannote[93].end |
456.41534375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
458.32221875 |
| transcript.pyannote[94].end |
459.33471875 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
464.44784375 |
| transcript.pyannote[95].end |
467.02971875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
467.02971875 |
| transcript.pyannote[96].end |
467.70471875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
467.70471875 |
| transcript.pyannote[97].end |
467.77221875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
467.77221875 |
| transcript.pyannote[98].end |
480.17534375 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
480.22596875 |
| transcript.pyannote[99].end |
482.67284375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
482.77409375 |
| transcript.pyannote[100].end |
484.96784375 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
484.96784375 |
| transcript.pyannote[101].end |
492.07221875 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
492.27471875 |
| transcript.pyannote[102].end |
503.85096875 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
503.85096875 |
| transcript.pyannote[103].end |
507.58034375 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
507.96846875 |
| transcript.pyannote[104].end |
509.47034375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
509.80784375 |
| transcript.pyannote[105].end |
525.26534375 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
516.62534375 |
| transcript.pyannote[106].end |
518.31284375 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
525.60284375 |
| transcript.pyannote[107].end |
525.61971875 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
525.61971875 |
| transcript.pyannote[108].end |
525.88971875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
525.88971875 |
| transcript.pyannote[109].end |
525.92346875 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
525.92346875 |
| transcript.pyannote[110].end |
525.97409375 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
525.97409375 |
| transcript.pyannote[111].end |
526.02471875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
526.02471875 |
| transcript.pyannote[112].end |
526.21034375 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
526.21034375 |
| transcript.pyannote[113].end |
526.26096875 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
526.26096875 |
| transcript.pyannote[114].end |
526.31159375 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
526.31159375 |
| transcript.pyannote[115].end |
526.41284375 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
526.41284375 |
| transcript.pyannote[116].end |
558.89721875 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
558.89721875 |
| transcript.pyannote[117].end |
558.91409375 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
558.94784375 |
| transcript.pyannote[118].end |
564.73596875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
565.74846875 |
| transcript.pyannote[119].end |
577.89846875 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
578.32034375 |
| transcript.pyannote[120].end |
580.90221875 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
581.67846875 |
| transcript.pyannote[121].end |
583.88909375 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
584.47971875 |
| transcript.pyannote[122].end |
585.03659375 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
585.47534375 |
| transcript.pyannote[123].end |
589.32284375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
591.22971875 |
| transcript.pyannote[124].end |
591.95534375 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
592.47846875 |
| transcript.pyannote[125].end |
594.04784375 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
594.99284375 |
| transcript.pyannote[126].end |
596.05596875 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
596.47784375 |
| transcript.pyannote[127].end |
597.82784375 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
599.24534375 |
| transcript.pyannote[128].end |
599.88659375 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
601.38846875 |
| transcript.pyannote[129].end |
604.24034375 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
604.96596875 |
| transcript.pyannote[130].end |
605.79284375 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
606.38346875 |
| transcript.pyannote[131].end |
606.60284375 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
607.09221875 |
| transcript.pyannote[132].end |
609.58971875 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
609.91034375 |
| transcript.pyannote[133].end |
612.88034375 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
613.55534375 |
| transcript.pyannote[134].end |
614.95596875 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
615.27659375 |
| transcript.pyannote[135].end |
616.13721875 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
616.71096875 |
| transcript.pyannote[136].end |
620.91284375 |
| transcript.pyannote[137].speaker |
SPEAKER_01 |
| transcript.pyannote[137].start |
620.67659375 |
| transcript.pyannote[137].end |
625.28346875 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
620.92971875 |
| transcript.pyannote[138].end |
626.21159375 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
627.05534375 |
| transcript.pyannote[139].end |
628.23659375 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
628.75971875 |
| transcript.pyannote[140].end |
629.38409375 |
| transcript.pyannote[141].speaker |
SPEAKER_00 |
| transcript.pyannote[141].start |
630.36284375 |
| transcript.pyannote[141].end |
631.83096875 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
632.47221875 |
| transcript.pyannote[142].end |
634.10909375 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
634.15971875 |
| transcript.pyannote[143].end |
635.96534375 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
636.31971875 |
| transcript.pyannote[144].end |
638.19284375 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
638.76659375 |
| transcript.pyannote[145].end |
641.50034375 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
642.19221875 |
| transcript.pyannote[146].end |
652.11471875 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
652.63784375 |
| transcript.pyannote[147].end |
658.42596875 |
| transcript.pyannote[148].speaker |
SPEAKER_01 |
| transcript.pyannote[148].start |
657.58221875 |
| transcript.pyannote[148].end |
660.48471875 |
| transcript.pyannote[149].speaker |
SPEAKER_01 |
| transcript.pyannote[149].start |
662.12159375 |
| transcript.pyannote[149].end |
663.97784375 |
| transcript.whisperx[0].start |
5.056 |
| transcript.whisperx[0].end |
8.087 |
| transcript.whisperx[0].text |
這個主席主席請一下勞動部紅部長 |
| transcript.whisperx[1].start |
16.854 |
| transcript.whisperx[1].end |
33.72 |
| transcript.whisperx[1].text |
部長我們推動友善職場大概就是要從好多個面向包括平常的教育宣導包括鼓勵受害者勇於舉報 |
| transcript.whisperx[2].start |
36.856 |
| transcript.whisperx[2].end |
54.265 |
| transcript.whisperx[2].text |
舉報了以後要怎麼保護受害者到後續雇主應該要怎麼妥善的處理這是一個很大的問題,我們也有相關的法律在做規範 |
| transcript.whisperx[3].start |
57.466 |
| transcript.whisperx[3].end |
65.822 |
| transcript.whisperx[3].text |
我常講只有法律是沒有辦法完成任何一件事情的,還是必須要真正的落實法律才是重點 |
| transcript.whisperx[4].start |
69.725 |
| transcript.whisperx[4].end |
90.465 |
| transcript.whisperx[4].text |
推動友善職場應該也算是勞動部一個很重要的工作怎麼讓勞工甚至於是你們自己的員工在職場上獲得保障避免受到不必要的不管是性貧性輕或者是霸凌種種 |
| transcript.whisperx[5].start |
93.527 |
| transcript.whisperx[5].end |
115.855 |
| transcript.whisperx[5].text |
這個請部長就是長期來關注那我今天想要跟部長就我們就業服務法剛通過修正的相關問題跟部長做個討論那這個我們新修的就業服務法放寬了80歲以上 |
| transcript.whisperx[6].start |
118.649 |
| transcript.whisperx[6].end |
141.631 |
| transcript.whisperx[6].text |
的長者就是聘用外國籍的看護工不用經過醫療機關的就取消八十兩票的規定面聘部長我們八十全國八十歲以上的人口有多少你知道 |
| transcript.whisperx[7].start |
144.666 |
| transcript.whisperx[7].end |
160.154 |
| transcript.whisperx[7].text |
91萬91萬多91萬那根據統計呢大概有53萬其實是健康的對可是現在原本假如有巴士量表就是大概大概不到40萬人 |
| transcript.whisperx[8].start |
162.162 |
| transcript.whisperx[8].end |
175.715 |
| transcript.whisperx[8].text |
可能有需求我們說可能有需求那現在突然多出了多出了潛在的需求者53萬對這個缺口你要怎麼你要怎麼怎麼補 |
| transcript.whisperx[9].start |
177.396 |
| transcript.whisperx[9].end |
192.706 |
| transcript.whisperx[9].text |
跟姚委員說明我們當然現在會來跟外交部那一起跟我們這個外籍看護工的來源主要的來源國那來討論說那有沒有可能這個攻擊就是 |
| transcript.whisperx[10].start |
193.607 |
| transcript.whisperx[10].end |
208.355 |
| transcript.whisperx[10].text |
跨國勞動力的供給在提高的可能但是這真的不完全超支在我們我知道這跟在母國他的自己的管理量能包括他能夠引進的量能都有很大的關係包括也跟我們其實在國際的 |
| transcript.whisperx[11].start |
209.956 |
| transcript.whisperx[11].end |
228.873 |
| transcript.whisperx[11].text |
這個移工的市場上面的競爭力都有關係那我們當然會來試圖在供給上面還能不能再提高可是我們自己目前來評估的話跟需求增加這麼多來比需求的總體大概是潛在有53萬人他可以拿到申請的資格 |
| transcript.whisperx[12].start |
229.594 |
| transcript.whisperx[12].end |
253.941 |
| transcript.whisperx[12].text |
那但是當然不會每個人都來申請所以我們大概估計了一下就是說如果從這個過去失能的整體失能的長者的話大概有五成的人需要外籍看護工跟長照那所以如果來來對比的話我們大概評估也許兩到三成需要的話那大概十萬到十幾萬之間那這十幾萬跟我們 |
| transcript.whisperx[13].start |
254.921 |
| transcript.whisperx[13].end |
271.026 |
| transcript.whisperx[13].text |
十幾萬就已經算很多了對所以十萬到十幾萬之間跟我們能夠在供給端能夠提高的量看起來這是為什麼我們這麼擔心的原因因為看起來供需的失衡有可能會加劇對因為我自己本身也是 |
| transcript.whisperx[14].start |
272.762 |
| transcript.whisperx[14].end |
301.214 |
| transcript.whisperx[14].text |
外籍看護工的雇主所以我知道這幾年就是缺工已經原本就很嚴重對這是本來就有的現象不過是這樣的立法院的法律通過那行政部門就是變成只能去做因應我們在國際就是勞動力引進其實先天上我們本來就 |
| transcript.whisperx[15].start |
303.072 |
| transcript.whisperx[15].end |
320.869 |
| transcript.whisperx[15].text |
簡單的講就是我們的工資遠不如日韓啦對沒錯就是在競爭上本來就已經就已經屈居若市對對對那現在一下子要不過這個還是必須要努力去做啦好不好 |
| transcript.whisperx[16].start |
321.229 |
| transcript.whisperx[16].end |
342.021 |
| transcript.whisperx[16].text |
我們會來跟 兩個部分應該是講說供給端會跟這個外交部來做討論那但是就整體因應尤其是怎麼樣來優先的保障這個重症家庭他受到照顧的權益這部分我們會跟衛福部來做這個商議可是你們好像好像沒有 |
| transcript.whisperx[17].start |
342.921 |
| transcript.whisperx[17].end |
367.938 |
| transcript.whisperx[17].text |
沒有權力去做判斷哪一個判斷就是優先優先照顧重度必須要照顧的因為他現在就是變成變成大家的條件都一樣除非是長照的部分當然是比較有優先順序可是外籍看護工並沒有外籍看護工就會變成你不可能去設定說說他80歲以上 |
| transcript.whisperx[18].start |
372.697 |
| transcript.whisperx[18].end |
391.314 |
| transcript.whisperx[18].text |
誰優先優先你們可以嗎我們沒有我們可能沒有辦法硬性的去設定可是我們怎麼來幫助他們可以比較容易找得到留得住或者是增加留得住的條件我們當然會想往這個方向來去協助但是確實因為這個修法後其實它的衝擊 |
| transcript.whisperx[19].start |
393.826 |
| transcript.whisperx[19].end |
399.189 |
| transcript.whisperx[19].text |
這個還是會很大我們只能在這裡減緩衝擊我們可能沒有辦法完全的讓這個衝擊不會發生我們只能試圖減緩衝擊假如說可以 |
| transcript.whisperx[20].start |
408.334 |
| transcript.whisperx[20].end |
435.684 |
| transcript.whisperx[20].text |
有一個配套出來就是看要怎麼疏導讓真正重中度失能的長者可以優先取得優先顧到外籍看護工那當然是最好我們會希望往這個方向來試著一些政策工具怎麼使用可是就是這可能不是一個絕對的事情因為它可能沒有辦法變成是一個強力的管制 |
| transcript.whisperx[21].start |
437.566 |
| transcript.whisperx[21].end |
452.984 |
| transcript.whisperx[21].text |
對你們沒有辦法因為法律本來就不允許你這麼做是那你剛剛講的非硬性的疏導方式有沒有優先協助啦優先協助 對 |
| transcript.whisperx[22].start |
454.245 |
| transcript.whisperx[22].end |
477.852 |
| transcript.whisperx[22].text |
怎麼協助因為禮拜二才剛修法通告嘛那我們接下來會跟衛福部來研擬這個降低衝擊的跨部會降低衝擊的配套的做法不過我在想衛福部可以的就是只有透過長照制度來做啊跟外籍看護公司是兩條比較 |
| transcript.whisperx[23].start |
480.713 |
| transcript.whisperx[23].end |
507.187 |
| transcript.whisperx[23].text |
相類似可是並不重疊的線因為衛福部比較了解需求他比較了解照護需求那勞動部這邊我們的專長是在勞動力管理那這一整件事情的因應可能會需要你也了解照護需求對照護需求有相對應不同的策略然後怎麼樣透過勞動力管理大家一起來配合所以這需要兩個部一起來合作可是我的理解是衛福部 |
| transcript.whisperx[24].start |
508.227 |
| transcript.whisperx[24].end |
524.537 |
| transcript.whisperx[24].text |
衛福部可能可以做的就是就是在請不到勞工的時候怎麼用長照制度去做挹注他可能比較沒有辦法跟你搭配來做外籍看護跟僱主的篩選 |
| transcript.whisperx[25].start |
525.658 |
| transcript.whisperx[25].end |
540.719 |
| transcript.whisperx[25].text |
我的意思嗎對但我說實質的做法我覺得這是一個合作但是可能不是互相取代的但是它是一個合作所以衛福部有衛福部比較擅長比較了解的部分我們勞動部有比較我們擅長了解的部分 |
| transcript.whisperx[26].start |
541.159 |
| transcript.whisperx[26].end |
561.923 |
| transcript.whisperx[26].text |
怎麼樣子在不同的功能上面一起來分工合作我們現在只能試圖往降低衝擊的方向來想可是恐怕那個衝擊還是會發生這是我們最擔心的這也是為什麼我們在修法前一直要提醒大家嚴正要提醒大家這個修法是不是一個妥當的修法副作用可能會很大我就是再用一分鐘講其實這幾天 |
| transcript.whisperx[27].start |
566.271 |
| transcript.whisperx[27].end |
588.878 |
| transcript.whisperx[27].text |
因為澎湖老人也多啦其實已經有一些僱主會擔心嘛其實我自己也擔心為什麼呢 因為現在本來就就是這幾年就是一年一年比一年難聘那現在又大幅度的放寬會產生 |
| transcript.whisperx[28].start |
595.168 |
| transcript.whisperx[28].end |
607.261 |
| transcript.whisperx[28].text |
外籍看護工他可以選擇照顧者他選擇亞健康的照顧者他不選擇重症 |
| transcript.whisperx[29].start |
609.997 |
| transcript.whisperx[29].end |
625.947 |
| transcript.whisperx[29].text |
那他選擇可以給他額外津貼多一點的經濟上的強勢者就是薪資 薪資也會大家順著要拉高三的增加機會這個也合理 站在他的立場 |
| transcript.whisperx[30].start |
627.11 |
| transcript.whisperx[30].end |
639.482 |
| transcript.whisperx[30].text |
他也會選擇地區我覺得像離島偏鄉也會越來越難找得到家庭看護工那法律通過了接下來就請 |
| transcript.whisperx[31].start |
642.265 |
| transcript.whisperx[31].end |
657.934 |
| transcript.whisperx[31].text |
部長我想這個議題也不會只有今天問那請部長趕快回去做一定的政策方向的擬定好不好好 謝謝部長 謝謝主席 |