| IVOD_ID |
162615 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162615 |
| 日期 |
2025-06-18 |
| 會議資料.會議代碼 |
委員會-11-3-26-17 |
| 會議資料.會議代碼:str |
第11屆第3會期社會福利及衛生環境委員會第17次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
3 |
| 會議資料.會次 |
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3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 |
2025-06-18T11:33:12+08:00 |
| 結束時間 |
2025-06-18T11:44:49+08:00 |
| 影片長度 |
00:11:37 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/5617cf280bc2552aa6e37b1f49a33751242af1fd96f582304c29659fdfe1d1e86df6a493928834075ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
蘇清泉 |
| 委員發言時間 |
11:33:12 - 11:44:49 |
| 會議時間 |
2025-06-18T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第3會期社會福利及衛生環境委員會第17次全體委員會議（事由：邀請勞動部部長就「營造友善職場育兒環境，落實照顧不離職政策規劃」進行專題報告，並備質詢。） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
4.80659375 |
| transcript.pyannote[0].end |
6.61221875 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
14.77971875 |
| transcript.pyannote[1].end |
16.75409375 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
19.87596875 |
| transcript.pyannote[2].end |
21.42846875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
23.89221875 |
| transcript.pyannote[3].end |
24.53346875 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
24.97221875 |
| transcript.pyannote[4].end |
25.02284375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
25.59659375 |
| transcript.pyannote[5].end |
27.80721875 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
27.95909375 |
| transcript.pyannote[6].end |
28.44846875 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
30.52409375 |
| transcript.pyannote[7].end |
32.86971875 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
35.55284375 |
| transcript.pyannote[8].end |
44.90159375 |
| transcript.pyannote[9].speaker |
SPEAKER_01 |
| transcript.pyannote[9].start |
44.90159375 |
| transcript.pyannote[9].end |
49.71096875 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
50.35221875 |
| transcript.pyannote[10].end |
50.38596875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
50.38596875 |
| transcript.pyannote[11].end |
50.41971875 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
50.41971875 |
| transcript.pyannote[12].end |
51.02721875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
51.02721875 |
| transcript.pyannote[13].end |
59.46471875 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
52.52909375 |
| transcript.pyannote[14].end |
53.28846875 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
60.32534375 |
| transcript.pyannote[15].end |
61.55721875 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
61.69221875 |
| transcript.pyannote[16].end |
67.83471875 |
| transcript.pyannote[17].speaker |
SPEAKER_01 |
| transcript.pyannote[17].start |
67.31159375 |
| transcript.pyannote[17].end |
67.66596875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
67.93596875 |
| transcript.pyannote[18].end |
69.75846875 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
70.01159375 |
| transcript.pyannote[19].end |
75.64784375 |
| transcript.pyannote[20].speaker |
SPEAKER_01 |
| transcript.pyannote[20].start |
75.93471875 |
| transcript.pyannote[20].end |
76.98096875 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
77.67284375 |
| transcript.pyannote[21].end |
77.68971875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
77.68971875 |
| transcript.pyannote[22].end |
79.59659375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
79.68096875 |
| transcript.pyannote[23].end |
83.81534375 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
84.43971875 |
| transcript.pyannote[24].end |
86.12721875 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
86.12721875 |
| transcript.pyannote[25].end |
86.14409375 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
86.92034375 |
| transcript.pyannote[26].end |
87.96659375 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
87.96659375 |
| transcript.pyannote[27].end |
88.48971875 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
88.57409375 |
| transcript.pyannote[28].end |
89.56971875 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
89.77221875 |
| transcript.pyannote[29].end |
93.31596875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
94.15971875 |
| transcript.pyannote[30].end |
97.02846875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
94.24409375 |
| transcript.pyannote[31].end |
94.71659375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
97.02846875 |
| transcript.pyannote[32].end |
99.44159375 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
100.03221875 |
| transcript.pyannote[33].end |
102.76596875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
106.19159375 |
| transcript.pyannote[34].end |
106.56284375 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
106.56284375 |
| transcript.pyannote[35].end |
109.21221875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
106.61346875 |
| transcript.pyannote[36].end |
108.25034375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
110.93346875 |
| transcript.pyannote[37].end |
116.78909375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
114.94971875 |
| transcript.pyannote[38].end |
123.06659375 |
| transcript.pyannote[39].speaker |
SPEAKER_01 |
| transcript.pyannote[39].start |
117.78471875 |
| transcript.pyannote[39].end |
117.80159375 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
123.31971875 |
| transcript.pyannote[40].end |
123.87659375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
124.38284375 |
| transcript.pyannote[41].end |
125.12534375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
126.01971875 |
| transcript.pyannote[42].end |
130.93034375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
133.15784375 |
| transcript.pyannote[43].end |
140.48159375 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
140.48159375 |
| transcript.pyannote[44].end |
141.69659375 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
140.51534375 |
| transcript.pyannote[45].end |
141.88221875 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
142.05096875 |
| transcript.pyannote[46].end |
142.06784375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
142.08471875 |
| transcript.pyannote[47].end |
142.20284375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
142.23659375 |
| transcript.pyannote[48].end |
146.50596875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
146.96159375 |
| transcript.pyannote[49].end |
150.37034375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
150.79221875 |
| transcript.pyannote[50].end |
154.82534375 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
155.48346875 |
| transcript.pyannote[51].end |
160.98471875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
161.96346875 |
| transcript.pyannote[52].end |
163.56659375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
163.97159375 |
| transcript.pyannote[53].end |
168.37596875 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
168.56159375 |
| transcript.pyannote[54].end |
172.13909375 |
| transcript.pyannote[55].speaker |
SPEAKER_01 |
| transcript.pyannote[55].start |
170.31659375 |
| transcript.pyannote[55].end |
170.67096875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
172.25721875 |
| transcript.pyannote[56].end |
173.72534375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
174.26534375 |
| transcript.pyannote[57].end |
177.15096875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
177.62346875 |
| transcript.pyannote[58].end |
179.00721875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
180.12096875 |
| transcript.pyannote[59].end |
181.18409375 |
| transcript.pyannote[60].speaker |
SPEAKER_01 |
| transcript.pyannote[60].start |
180.34034375 |
| transcript.pyannote[60].end |
182.85471875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
182.85471875 |
| transcript.pyannote[61].end |
189.58784375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
190.54971875 |
| transcript.pyannote[62].end |
191.66346875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
192.97971875 |
| transcript.pyannote[63].end |
193.72221875 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
193.90784375 |
| transcript.pyannote[64].end |
197.67096875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
198.46409375 |
| transcript.pyannote[65].end |
201.55221875 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
202.63221875 |
| transcript.pyannote[66].end |
204.08346875 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
203.94846875 |
| transcript.pyannote[67].end |
205.26471875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
205.50096875 |
| transcript.pyannote[68].end |
206.46284375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
206.46284375 |
| transcript.pyannote[69].end |
206.81721875 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
208.13346875 |
| transcript.pyannote[70].end |
215.20409375 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
212.57159375 |
| transcript.pyannote[71].end |
215.60909375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
215.60909375 |
| transcript.pyannote[72].end |
216.94221875 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
215.67659375 |
| transcript.pyannote[73].end |
215.79471875 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
215.87909375 |
| transcript.pyannote[74].end |
215.89596875 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
215.91284375 |
| transcript.pyannote[75].end |
216.14909375 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
218.76471875 |
| transcript.pyannote[76].end |
219.84471875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
220.14846875 |
| transcript.pyannote[77].end |
223.45596875 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
223.96221875 |
| transcript.pyannote[78].end |
227.30346875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
227.38784375 |
| transcript.pyannote[79].end |
228.60284375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
228.70409375 |
| transcript.pyannote[80].end |
229.96971875 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
229.96971875 |
| transcript.pyannote[81].end |
230.84721875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
230.84721875 |
| transcript.pyannote[82].end |
230.88096875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
231.13409375 |
| transcript.pyannote[83].end |
231.15096875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
231.15096875 |
| transcript.pyannote[84].end |
239.70659375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
238.89659375 |
| transcript.pyannote[85].end |
238.96409375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
239.09909375 |
| transcript.pyannote[86].end |
239.28471875 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
240.11159375 |
| transcript.pyannote[87].end |
241.32659375 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
242.13659375 |
| transcript.pyannote[88].end |
246.03471875 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
244.58346875 |
| transcript.pyannote[89].end |
246.13596875 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
246.13596875 |
| transcript.pyannote[90].end |
246.25409375 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
246.25409375 |
| transcript.pyannote[91].end |
250.57409375 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
247.68846875 |
| transcript.pyannote[92].end |
248.09346875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
251.41784375 |
| transcript.pyannote[93].end |
253.40909375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
254.87721875 |
| transcript.pyannote[94].end |
255.61971875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
258.23534375 |
| transcript.pyannote[95].end |
259.24784375 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
259.51784375 |
| transcript.pyannote[96].end |
264.15846875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
265.67721875 |
| transcript.pyannote[97].end |
273.96284375 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
278.06346875 |
| transcript.pyannote[98].end |
281.79284375 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
281.97846875 |
| transcript.pyannote[99].end |
282.02909375 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
282.29909375 |
| transcript.pyannote[100].end |
285.50534375 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
285.64034375 |
| transcript.pyannote[101].end |
299.07284375 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
289.99409375 |
| transcript.pyannote[102].end |
290.88846875 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
291.29346875 |
| transcript.pyannote[103].end |
291.91784375 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
300.00096875 |
| transcript.pyannote[104].end |
310.48034375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
304.74284375 |
| transcript.pyannote[105].end |
305.40096875 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
308.97846875 |
| transcript.pyannote[106].end |
314.98596875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
315.23909375 |
| transcript.pyannote[107].end |
318.05721875 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
318.81659375 |
| transcript.pyannote[108].end |
321.41534375 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
321.41534375 |
| transcript.pyannote[109].end |
321.70221875 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
321.70221875 |
| transcript.pyannote[110].end |
327.03471875 |
| transcript.pyannote[111].speaker |
SPEAKER_00 |
| transcript.pyannote[111].start |
327.40596875 |
| transcript.pyannote[111].end |
328.35096875 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
328.60409375 |
| transcript.pyannote[112].end |
333.02534375 |
| transcript.pyannote[113].speaker |
SPEAKER_00 |
| transcript.pyannote[113].start |
333.56534375 |
| transcript.pyannote[113].end |
334.69596875 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
334.74659375 |
| transcript.pyannote[114].end |
335.69159375 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
336.06284375 |
| transcript.pyannote[115].end |
346.05284375 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
347.26784375 |
| transcript.pyannote[116].end |
348.04409375 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
348.80346875 |
| transcript.pyannote[117].end |
349.54596875 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
349.98471875 |
| transcript.pyannote[118].end |
350.37284375 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
350.71034375 |
| transcript.pyannote[119].end |
351.03096875 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
351.60471875 |
| transcript.pyannote[120].end |
352.24596875 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
352.51596875 |
| transcript.pyannote[121].end |
354.52409375 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
354.99659375 |
| transcript.pyannote[122].end |
355.97534375 |
| transcript.pyannote[123].speaker |
SPEAKER_01 |
| transcript.pyannote[123].start |
355.97534375 |
| transcript.pyannote[123].end |
356.98784375 |
| transcript.pyannote[124].speaker |
SPEAKER_01 |
| transcript.pyannote[124].start |
358.62471875 |
| transcript.pyannote[124].end |
370.99409375 |
| transcript.pyannote[125].speaker |
SPEAKER_01 |
| transcript.pyannote[125].start |
371.36534375 |
| transcript.pyannote[125].end |
373.76159375 |
| transcript.pyannote[126].speaker |
SPEAKER_01 |
| transcript.pyannote[126].start |
373.86284375 |
| transcript.pyannote[126].end |
380.96721875 |
| transcript.pyannote[127].speaker |
SPEAKER_01 |
| transcript.pyannote[127].start |
381.28784375 |
| transcript.pyannote[127].end |
386.99159375 |
| transcript.pyannote[128].speaker |
SPEAKER_01 |
| transcript.pyannote[128].start |
387.70034375 |
| transcript.pyannote[128].end |
388.10534375 |
| transcript.pyannote[129].speaker |
SPEAKER_01 |
| transcript.pyannote[129].start |
389.15159375 |
| transcript.pyannote[129].end |
389.18534375 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
389.18534375 |
| transcript.pyannote[130].end |
389.50596875 |
| transcript.pyannote[131].speaker |
SPEAKER_01 |
| transcript.pyannote[131].start |
389.50596875 |
| transcript.pyannote[131].end |
390.36659375 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
390.36659375 |
| transcript.pyannote[132].end |
394.82159375 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
395.49659375 |
| transcript.pyannote[133].end |
397.42034375 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
399.79971875 |
| transcript.pyannote[134].end |
404.45721875 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
406.12784375 |
| transcript.pyannote[135].end |
411.96659375 |
| transcript.pyannote[136].speaker |
SPEAKER_01 |
| transcript.pyannote[136].start |
411.96659375 |
| transcript.pyannote[136].end |
412.20284375 |
| transcript.pyannote[137].speaker |
SPEAKER_01 |
| transcript.pyannote[137].start |
412.23659375 |
| transcript.pyannote[137].end |
412.27034375 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
412.27034375 |
| transcript.pyannote[138].end |
412.30409375 |
| transcript.pyannote[139].speaker |
SPEAKER_01 |
| transcript.pyannote[139].start |
412.30409375 |
| transcript.pyannote[139].end |
412.32096875 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
412.32096875 |
| transcript.pyannote[140].end |
412.96221875 |
| transcript.pyannote[141].speaker |
SPEAKER_01 |
| transcript.pyannote[141].start |
412.96221875 |
| transcript.pyannote[141].end |
421.02846875 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
418.26096875 |
| transcript.pyannote[142].end |
418.41284375 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
418.54784375 |
| transcript.pyannote[143].end |
418.59846875 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
418.66596875 |
| transcript.pyannote[144].end |
418.69971875 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
421.02846875 |
| transcript.pyannote[145].end |
429.65159375 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
430.34346875 |
| transcript.pyannote[146].end |
438.86534375 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
439.52346875 |
| transcript.pyannote[147].end |
443.43846875 |
| transcript.pyannote[148].speaker |
SPEAKER_00 |
| transcript.pyannote[148].start |
443.75909375 |
| transcript.pyannote[148].end |
446.40846875 |
| transcript.pyannote[149].speaker |
SPEAKER_00 |
| transcript.pyannote[149].start |
446.84721875 |
| transcript.pyannote[149].end |
447.67409375 |
| transcript.pyannote[150].speaker |
SPEAKER_00 |
| transcript.pyannote[150].start |
448.88909375 |
| transcript.pyannote[150].end |
451.18409375 |
| transcript.pyannote[151].speaker |
SPEAKER_00 |
| transcript.pyannote[151].start |
452.31471875 |
| transcript.pyannote[151].end |
455.41971875 |
| transcript.pyannote[152].speaker |
SPEAKER_00 |
| transcript.pyannote[152].start |
455.77409375 |
| transcript.pyannote[152].end |
458.03534375 |
| transcript.pyannote[153].speaker |
SPEAKER_00 |
| transcript.pyannote[153].start |
458.27159375 |
| transcript.pyannote[153].end |
461.20784375 |
| transcript.pyannote[154].speaker |
SPEAKER_00 |
| transcript.pyannote[154].start |
462.64221875 |
| transcript.pyannote[154].end |
467.24909375 |
| transcript.pyannote[155].speaker |
SPEAKER_00 |
| transcript.pyannote[155].start |
467.50221875 |
| transcript.pyannote[155].end |
477.93096875 |
| transcript.pyannote[156].speaker |
SPEAKER_00 |
| transcript.pyannote[156].start |
478.38659375 |
| transcript.pyannote[156].end |
482.94284375 |
| transcript.pyannote[157].speaker |
SPEAKER_00 |
| transcript.pyannote[157].start |
483.63471875 |
| transcript.pyannote[157].end |
490.43534375 |
| transcript.pyannote[158].speaker |
SPEAKER_00 |
| transcript.pyannote[158].start |
490.73909375 |
| transcript.pyannote[158].end |
492.56159375 |
| transcript.pyannote[159].speaker |
SPEAKER_00 |
| transcript.pyannote[159].start |
493.10159375 |
| transcript.pyannote[159].end |
496.96596875 |
| transcript.pyannote[160].speaker |
SPEAKER_01 |
| transcript.pyannote[160].start |
496.96596875 |
| transcript.pyannote[160].end |
500.93159375 |
| transcript.pyannote[161].speaker |
SPEAKER_01 |
| transcript.pyannote[161].start |
501.77534375 |
| transcript.pyannote[161].end |
508.76159375 |
| transcript.pyannote[162].speaker |
SPEAKER_00 |
| transcript.pyannote[162].start |
501.91034375 |
| transcript.pyannote[162].end |
502.90596875 |
| transcript.pyannote[163].speaker |
SPEAKER_00 |
| transcript.pyannote[163].start |
508.40721875 |
| transcript.pyannote[163].end |
508.74471875 |
| transcript.pyannote[164].speaker |
SPEAKER_00 |
| transcript.pyannote[164].start |
508.76159375 |
| transcript.pyannote[164].end |
509.20034375 |
| transcript.pyannote[165].speaker |
SPEAKER_00 |
| transcript.pyannote[165].start |
512.67659375 |
| transcript.pyannote[165].end |
520.27034375 |
| transcript.pyannote[166].speaker |
SPEAKER_00 |
| transcript.pyannote[166].start |
521.18159375 |
| transcript.pyannote[166].end |
527.42534375 |
| transcript.pyannote[167].speaker |
SPEAKER_00 |
| transcript.pyannote[167].start |
527.56034375 |
| transcript.pyannote[167].end |
531.61034375 |
| transcript.pyannote[168].speaker |
SPEAKER_00 |
| transcript.pyannote[168].start |
532.62284375 |
| transcript.pyannote[168].end |
540.48659375 |
| transcript.pyannote[169].speaker |
SPEAKER_00 |
| transcript.pyannote[169].start |
540.85784375 |
| transcript.pyannote[169].end |
542.15721875 |
| transcript.pyannote[170].speaker |
SPEAKER_00 |
| transcript.pyannote[170].start |
543.27096875 |
| transcript.pyannote[170].end |
543.28784375 |
| transcript.pyannote[171].speaker |
SPEAKER_01 |
| transcript.pyannote[171].start |
543.28784375 |
| transcript.pyannote[171].end |
551.67471875 |
| transcript.pyannote[172].speaker |
SPEAKER_01 |
| transcript.pyannote[172].start |
552.11346875 |
| transcript.pyannote[172].end |
556.87221875 |
| transcript.pyannote[173].speaker |
SPEAKER_00 |
| transcript.pyannote[173].start |
553.39596875 |
| transcript.pyannote[173].end |
554.10471875 |
| transcript.pyannote[174].speaker |
SPEAKER_00 |
| transcript.pyannote[174].start |
554.62784375 |
| transcript.pyannote[174].end |
556.36596875 |
| transcript.pyannote[175].speaker |
SPEAKER_00 |
| transcript.pyannote[175].start |
556.87221875 |
| transcript.pyannote[175].end |
556.93971875 |
| transcript.pyannote[176].speaker |
SPEAKER_00 |
| transcript.pyannote[176].start |
557.19284375 |
| transcript.pyannote[176].end |
558.17159375 |
| transcript.pyannote[177].speaker |
SPEAKER_01 |
| transcript.pyannote[177].start |
557.83409375 |
| transcript.pyannote[177].end |
558.94784375 |
| transcript.pyannote[178].speaker |
SPEAKER_00 |
| transcript.pyannote[178].start |
558.94784375 |
| transcript.pyannote[178].end |
561.20909375 |
| transcript.pyannote[179].speaker |
SPEAKER_01 |
| transcript.pyannote[179].start |
560.85471875 |
| transcript.pyannote[179].end |
567.92534375 |
| transcript.pyannote[180].speaker |
SPEAKER_00 |
| transcript.pyannote[180].start |
565.30971875 |
| transcript.pyannote[180].end |
565.95096875 |
| transcript.pyannote[181].speaker |
SPEAKER_00 |
| transcript.pyannote[181].start |
566.11971875 |
| transcript.pyannote[181].end |
566.57534375 |
| transcript.pyannote[182].speaker |
SPEAKER_00 |
| transcript.pyannote[182].start |
567.92534375 |
| transcript.pyannote[182].end |
568.75221875 |
| transcript.pyannote[183].speaker |
SPEAKER_01 |
| transcript.pyannote[183].start |
573.00471875 |
| transcript.pyannote[183].end |
609.23534375 |
| transcript.pyannote[184].speaker |
SPEAKER_01 |
| transcript.pyannote[184].start |
609.99471875 |
| transcript.pyannote[184].end |
611.37846875 |
| transcript.pyannote[185].speaker |
SPEAKER_00 |
| transcript.pyannote[185].start |
611.37846875 |
| transcript.pyannote[185].end |
611.39534375 |
| transcript.pyannote[186].speaker |
SPEAKER_00 |
| transcript.pyannote[186].start |
612.32346875 |
| transcript.pyannote[186].end |
612.99846875 |
| transcript.pyannote[187].speaker |
SPEAKER_00 |
| transcript.pyannote[187].start |
614.07846875 |
| transcript.pyannote[187].end |
614.93909375 |
| transcript.pyannote[188].speaker |
SPEAKER_00 |
| transcript.pyannote[188].start |
616.37346875 |
| transcript.pyannote[188].end |
628.10159375 |
| transcript.pyannote[189].speaker |
SPEAKER_00 |
| transcript.pyannote[189].start |
629.21534375 |
| transcript.pyannote[189].end |
629.72159375 |
| transcript.pyannote[190].speaker |
SPEAKER_00 |
| transcript.pyannote[190].start |
630.95346875 |
| transcript.pyannote[190].end |
632.74221875 |
| transcript.pyannote[191].speaker |
SPEAKER_00 |
| transcript.pyannote[191].start |
633.72096875 |
| transcript.pyannote[191].end |
635.99909375 |
| transcript.pyannote[192].speaker |
SPEAKER_00 |
| transcript.pyannote[192].start |
637.09596875 |
| transcript.pyannote[192].end |
638.56409375 |
| transcript.pyannote[193].speaker |
SPEAKER_00 |
| transcript.pyannote[193].start |
638.83409375 |
| transcript.pyannote[193].end |
640.13346875 |
| transcript.pyannote[194].speaker |
SPEAKER_00 |
| transcript.pyannote[194].start |
641.14596875 |
| transcript.pyannote[194].end |
642.54659375 |
| transcript.pyannote[195].speaker |
SPEAKER_00 |
| transcript.pyannote[195].start |
643.08659375 |
| transcript.pyannote[195].end |
643.94721875 |
| transcript.pyannote[196].speaker |
SPEAKER_00 |
| transcript.pyannote[196].start |
644.97659375 |
| transcript.pyannote[196].end |
647.47409375 |
| transcript.pyannote[197].speaker |
SPEAKER_00 |
| transcript.pyannote[197].start |
648.33471875 |
| transcript.pyannote[197].end |
660.01221875 |
| transcript.pyannote[198].speaker |
SPEAKER_00 |
| transcript.pyannote[198].start |
661.48034375 |
| transcript.pyannote[198].end |
662.47596875 |
| transcript.pyannote[199].speaker |
SPEAKER_00 |
| transcript.pyannote[199].start |
662.64471875 |
| transcript.pyannote[199].end |
669.51284375 |
| transcript.pyannote[200].speaker |
SPEAKER_00 |
| transcript.pyannote[200].start |
670.93034375 |
| transcript.pyannote[200].end |
671.26784375 |
| transcript.pyannote[201].speaker |
SPEAKER_00 |
| transcript.pyannote[201].start |
673.74846875 |
| transcript.pyannote[201].end |
674.33909375 |
| transcript.pyannote[202].speaker |
SPEAKER_00 |
| transcript.pyannote[202].start |
674.38971875 |
| transcript.pyannote[202].end |
675.26721875 |
| transcript.pyannote[203].speaker |
SPEAKER_00 |
| transcript.pyannote[203].start |
675.75659375 |
| transcript.pyannote[203].end |
680.07659375 |
| transcript.pyannote[204].speaker |
SPEAKER_00 |
| transcript.pyannote[204].start |
680.61659375 |
| transcript.pyannote[204].end |
682.35471875 |
| transcript.pyannote[205].speaker |
SPEAKER_01 |
| transcript.pyannote[205].start |
683.85659375 |
| transcript.pyannote[205].end |
685.45971875 |
| transcript.pyannote[206].speaker |
SPEAKER_01 |
| transcript.pyannote[206].start |
686.94471875 |
| transcript.pyannote[206].end |
690.26909375 |
| transcript.pyannote[207].speaker |
SPEAKER_01 |
| transcript.pyannote[207].start |
690.48846875 |
| transcript.pyannote[207].end |
690.85971875 |
| transcript.pyannote[208].speaker |
SPEAKER_01 |
| transcript.pyannote[208].start |
691.65284375 |
| transcript.pyannote[208].end |
693.34034375 |
| transcript.whisperx[0].start |
4.864 |
| transcript.whisperx[0].end |
6.485 |
| transcript.whisperx[0].text |
請蘇清泉委員謝謝主席然後請部長第一張第一張史萊姆史萊姆好保定都要正幹齁掰掰來這個這一張齁是是 |
| transcript.whisperx[1].start |
36.032 |
| transcript.whisperx[1].end |
59.227 |
| transcript.whisperx[1].text |
媽媽的看法跟企業的看法好現在育嬰留庭你們是半年是不是我要問清楚一下應該是說育嬰留庭可以兩年但是有薪資補助的是半年有薪資補助是半年六個月那你現在是六要加一個月所以是七個月就是要六加七的話要修救保法 |
| transcript.whisperx[2].start |
60.436 |
| transcript.whisperx[2].end |
85.811 |
| transcript.whisperx[2].text |
要修法那現在是媽媽可以請6個月再來爸爸再請6個月都可以請6個月那就12個月是不是就是各自都有6個月的有薪的這個有薪孕留庭的權利好就是現在是6加6就對了啦那6加6加1加1這兩個是要修法是不是對那現在是補助 |
| transcript.whisperx[3].start |
86.946 |
| transcript.whisperx[3].end |
108.988 |
| transcript.whisperx[3].text |
投保薪資的80%舊保是補助六成那另外兩成是公務預算所以六成加兩成加起來是八成所以他是拿到投保薪資的八成那另外兩成呢基本上我們現在是八成就給他補滿就好啦 |
| transcript.whisperx[4].start |
111.264 |
| transcript.whisperx[4].end |
117.327 |
| transcript.whisperx[4].text |
你講到這我們又要講到預算的問題沒有啦現在真的是小孩子太少了啦那又有一個20%這個20%由企業來補你認為怎麼樣 |
| transcript.whisperx[5].start |
134.508 |
| transcript.whisperx[5].end |
149.594 |
| transcript.whisperx[5].text |
換企業靠腰其實你也是經營企業員工非常多但是生產的不多現在真的很少我是覺得企業如果有的話 |
| transcript.whisperx[6].start |
150.954 |
| transcript.whisperx[6].end |
177.836 |
| transcript.whisperx[6].text |
補那兩成應該還可以啦如果比較比較財務比較OK的真的我是覺得那在醫療界事實上說育嬰六個月或者所以如果是單單媽媽六個月那她延長到一年那個六個月是沒有薪水的被我們留子停薪了那是很糟糕的所以現在爸爸來請也請六個月那這個錢是哪裡來 |
| transcript.whisperx[7].start |
180.534 |
| transcript.whisperx[7].end |
204.43 |
| transcript.whisperx[7].text |
但說六成是來自舊寶基金然後兩成的部分是來自公務預算舊寶基金所以是勞保期你會嗎你會請嗎不是舊安定基金是舊寶所以這樣一年的支出差不多多少現在剩那麼少我考考你大概107億107億 |
| transcript.whisperx[8].start |
208.391 |
| transcript.whisperx[8].end |
216.638 |
| transcript.whisperx[8].text |
這做6加6的 爸爸媽媽都申請這樣差不多一年這樣子一年就是107那也不多啊 |
| transcript.whisperx[9].start |
220.242 |
| transcript.whisperx[9].end |
238.09 |
| transcript.whisperx[9].text |
所以你們應該用公務預算再補兩層或者是補三層然後企業老闆補一層這樣讓他足夠我是覺得真的是這樣那個我們其實在110年的時候當時其實就是那時候是六層那希望能夠再增加就公務預算補兩層可是確實現在 |
| transcript.whisperx[10].start |
242.182 |
| transcript.whisperx[10].end |
255.364 |
| transcript.whisperx[10].text |
我還是必須跟文坦承載目前所以說地方政府沒有出錢地方政府沒有出啦全部都是中央出我怪你在靠腰啦好 下一張 |
| transcript.whisperx[11].start |
258.577 |
| transcript.whisperx[11].end |
273.246 |
| transcript.whisperx[11].text |
這個是育嬰設備的哺乳室是兩萬塊然後呢受僱者居家室抽菸這個是六十萬然後新建的是三百萬最高五百萬嘛你剛剛有講嘛 |
| transcript.whisperx[12].start |
278.349 |
| transcript.whisperx[12].end |
298.844 |
| transcript.whisperx[12].text |
這個是企業如果有設拖曳的設備或者建築你補助最多是500萬是不是?是,就是新設的新設的,如果今年有一家、兩家500萬實在太少啦,講坦白話現在的建築成本太高,現在什麼都各樣上 |
| transcript.whisperx[13].start |
300.434 |
| transcript.whisperx[13].end |
313.221 |
| transcript.whisperx[13].text |
應該說不一定是新蓋一個建築但是可能是用企業裡面的空間然後把它再去設定再去整理出一個這個所以這個我自己建議的就是說不要打死說五百萬應該是 |
| transcript.whisperx[14].start |
315.482 |
| transcript.whisperx[14].end |
326.893 |
| transcript.whisperx[14].text |
裡面去平和,有的是自己有建築物了,只是裡面裝修嘛那另外有的是新蓋,像我們就打算新蓋,但是要蓋幾千萬我們才會錢,你補足五百萬,你也想補足一、兩千萬,我們才能蓋下去 |
| transcript.whisperx[15].start |
333.655 |
| transcript.whisperx[15].end |
356.564 |
| transcript.whisperx[15].text |
所以上限比我高你的時報時銷因為現在的建築出品才挺高的我們現在已經從300萬拉高到500萬了可以一千兩千這樣這是什麼錢這是救保那這個侮辱是兩萬塊也太少了所以這個都要增加 |
| transcript.whisperx[16].start |
358.666 |
| transcript.whisperx[16].end |
386.617 |
| transcript.whisperx[16].text |
我們可以來看一下哪些部分有增加的空間可是這個但是我還是要跟委員提醒因為其實長期以來因為救保基金他其實主要是在處理的問題其實是關於就業跟失業上面的議題那其實很多勞工朋友包括很多的工會勞工團體其實也一直在提醒其實處理就業失業的問題才是原本就救保基金他一開始成立的時候他的最重要的 |
| transcript.whisperx[17].start |
387.737 |
| transcript.whisperx[17].end |
396.548 |
| transcript.whisperx[17].text |
的設定的目的還有那個育嬰是6加6我覺得不太夠應該是差不多要到18個月 |
| transcript.whisperx[18].start |
400.044 |
| transcript.whisperx[18].end |
418.341 |
| transcript.whisperx[18].text |
我不是在開普拉普,我是在說真的因為我們自己我自己有四個小孩,我們這樣過來很辛苦這樣讓我們小孩生孫,那個更辛苦我們非常願意跟所有人一起合作我們在醫療界,看我們先來推動 |
| transcript.whisperx[19].start |
419.002 |
| transcript.whisperx[19].end |
438.301 |
| transcript.whisperx[19].text |
那醫療的 像譬如說護理師他育嬰他育嬰假回來你說會遭遇什麼問題 我們是沒有什麼問題但是他自己本身有時候是健保本身的電腦軟體一直在更新所以回來有時候會 |
| transcript.whisperx[20].start |
440.102 |
| transcript.whisperx[20].end |
460.434 |
| transcript.whisperx[20].text |
會要踏足了啦會感覺跟不上的感覺是有這個問題所以我們像我們在鄉下在屏東小孩子要下課如果當安親班是OK的如果沒有的話我們很多都中間請 |
| transcript.whisperx[21].start |
462.722 |
| transcript.whisperx[21].end |
468.545 |
| transcript.whisperx[21].text |
所以說回來沒有工作什麼職場我也覺得沒有這個問題然後再來就是說什麼女性的薪水比男性低我也沒有這種感覺 |
| transcript.whisperx[22].start |
484.043 |
| transcript.whisperx[22].end |
508.964 |
| transcript.whisperx[22].text |
只要你在獅子輩你是婦理獅就是你的價碼就你是藥師那價碼更高啦所以沒有婚男女那是在行政職方面可能會有點差啦行政職啦就目前現在數據上看起來確實男女性質上面還是有差異我們必須承認這件事情那這也是我想也是勞動部必須努力的目標好 那下一張 |
| transcript.whisperx[23].start |
513.014 |
| transcript.whisperx[23].end |
541.946 |
| transcript.whisperx[23].text |
這個是男性比例啦現在有在增加是好事啦那屏東的話我們男性生母乳價是17%增加到20%這也是都是好事情那希望能夠更更有效啦那你剛剛講的這個一個月譬如說小孩子發燒啦什麼的幼兒園突然間說說說要不然孩子吵吵等於有人發燒啊傳病毒啊那個是用市價的喔 |
| transcript.whisperx[24].start |
544.143 |
| transcript.whisperx[24].end |
568.498 |
| transcript.whisperx[24].text |
現在其實很多對很多老公來說他可能必須用市價或者用自己的特休來營運所以這也是為什麼他可能這種臨時性家庭照顧假或者是家庭照顧假市價或家庭照顧假市價是14天7天7天沒有薪水的7天但是7天是算在14天的市價裡面市價市價也沒薪水啊對市價也沒薪水那你們補啊 |
| transcript.whisperx[25].start |
573.231 |
| transcript.whisperx[25].end |
600.507 |
| transcript.whisperx[25].text |
所以我們為什麼我們現在也才從這個育嬰留庭的範圍裡面去思考怎麼樣去幫助這些生小孩的勞工家庭去解決這個問題我們為什麼才從這裡面去思考的原因就是這樣因為他在如果從育嬰留庭去想的話他裡面本身就救保其實可以有六成的補助那再加兩成的這個公務預算的補助 |
| transcript.whisperx[26].start |
601.488 |
| transcript.whisperx[26].end |
614.747 |
| transcript.whisperx[26].text |
他比較不用再要再去畫一個非常大的裁員來去補貼因為現在在整體的財政上面其實都有其實是挑戰是很大的好下一張最後一張了好 |
| transcript.whisperx[27].start |
616.734 |
| transcript.whisperx[27].end |
627.9 |
| transcript.whisperx[27].text |
這個是我們事業單位申請補助的嘛齁我跟部長講一個那個現在澳洲啊 澳洲他們生小孩後育嬰教室多久你知道嗎三年三年是國家補助的所以三年後再生一個 又三年再三年 又生一個這樣十年 齁澳洲現在就這樣所以我 |
| transcript.whisperx[28].start |
645.031 |
| transcript.whisperx[28].end |
669.339 |
| transcript.whisperx[28].text |
他們也是這樣幹的所以我們這邊是一直往上比不完所以我的建議因為這個錢都是中央出的錢地方政府沒有地方政府在說的是在說什麼公民都沒錢他也是老人 孩子都沒錢現在他們在說的是連高雄市也在挨台南市也在挨 是在挨什麼部長 |
| transcript.whisperx[29].start |
674.55 |
| transcript.whisperx[29].end |
692.407 |
| transcript.whisperx[29].text |
你說地方政府來地方政府說他們要補助啊他們的錢被扣了27%嘛 對不對那是跟這個是重疊的嗎我想這個應該不是不是這個部分我們的補助是來自酒保好查清楚 好 謝謝 |