| IVOD_ID |
164768 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/164768 |
| 日期 |
2025-10-29 |
| 會議資料.會議代碼 |
委員會-11-4-36-5 |
| 會議資料.會議代碼:str |
第11屆第4會期司法及法制委員會第5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 |
5 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
36 |
| 會議資料.委員會代碼:str[0] |
司法及法制委員會 |
| 會議資料.標題 |
第11屆第4會期司法及法制委員會第5次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-10-29T10:12:38+08:00 |
| 結束時間 |
2025-10-29T10:25:14+08:00 |
| 影片長度 |
00:12:36 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3d43f2f62388da51e6440ea5aa8f7d42d0e1721cc507f77aa3c61875d63c71356631682cceb1dba85ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
羅智強 |
| 委員發言時間 |
10:12:38 - 10:25:14 |
| 會議時間 |
2025-10-29T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期司法及法制委員會第5次全體委員會議（事由：邀請行政院人事行政總處人事長列席報告業務概況及立法計畫，並備質詢。
【10月29日及30日兩天一次會】） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
5.27909375 |
| transcript.pyannote[0].end |
7.86096875 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
8.21534375 |
| transcript.pyannote[1].end |
9.22784375 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
11.40471875 |
| transcript.pyannote[2].end |
13.83471875 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
14.50971875 |
| transcript.pyannote[3].end |
18.42471875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
20.17971875 |
| transcript.pyannote[4].end |
22.13721875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
21.20909375 |
| transcript.pyannote[5].end |
21.90096875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
22.99784375 |
| transcript.pyannote[6].end |
27.35159375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
24.34784375 |
| transcript.pyannote[7].end |
25.09034375 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
28.02659375 |
| transcript.pyannote[8].end |
44.02409375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
28.26284375 |
| transcript.pyannote[9].end |
28.87034375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
29.95034375 |
| transcript.pyannote[10].end |
30.38909375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
34.67534375 |
| transcript.pyannote[11].end |
35.97471875 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
39.60284375 |
| transcript.pyannote[12].end |
40.04159375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
44.02409375 |
| transcript.pyannote[13].end |
44.51346875 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
44.10846875 |
| transcript.pyannote[14].end |
44.12534375 |
| transcript.pyannote[15].speaker |
SPEAKER_01 |
| transcript.pyannote[15].start |
44.51346875 |
| transcript.pyannote[15].end |
45.03659375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
45.03659375 |
| transcript.pyannote[16].end |
45.93096875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
47.65221875 |
| transcript.pyannote[17].end |
49.13721875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
49.28909375 |
| transcript.pyannote[18].end |
51.41534375 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
49.42409375 |
| transcript.pyannote[19].end |
49.84596875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
52.86659375 |
| transcript.pyannote[20].end |
60.12284375 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
61.91159375 |
| transcript.pyannote[21].end |
71.02409375 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
71.02409375 |
| transcript.pyannote[22].end |
104.84159375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
105.92159375 |
| transcript.pyannote[23].end |
114.24096875 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
117.34596875 |
| transcript.pyannote[24].end |
125.37846875 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
124.97346875 |
| transcript.pyannote[25].end |
125.17596875 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
125.78346875 |
| transcript.pyannote[26].end |
127.70721875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
128.06159375 |
| transcript.pyannote[27].end |
140.95409375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
131.89221875 |
| transcript.pyannote[28].end |
132.39846875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
137.68034375 |
| transcript.pyannote[29].end |
138.13596875 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
142.65846875 |
| transcript.pyannote[30].end |
146.03346875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
146.03346875 |
| transcript.pyannote[31].end |
148.14284375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
148.98659375 |
| transcript.pyannote[32].end |
149.74596875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
149.84721875 |
| transcript.pyannote[33].end |
156.09096875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
156.51284375 |
| transcript.pyannote[34].end |
157.79534375 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
158.03159375 |
| transcript.pyannote[35].end |
160.59659375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
161.47409375 |
| transcript.pyannote[36].end |
161.91284375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
162.68909375 |
| transcript.pyannote[37].end |
176.32409375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
175.26096875 |
| transcript.pyannote[38].end |
178.36596875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
179.09159375 |
| transcript.pyannote[39].end |
180.17159375 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
180.62721875 |
| transcript.pyannote[40].end |
190.83659375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
190.93784375 |
| transcript.pyannote[41].end |
193.36784375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
193.95846875 |
| transcript.pyannote[42].end |
202.93596875 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
203.17221875 |
| transcript.pyannote[43].end |
210.09096875 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
211.17096875 |
| transcript.pyannote[44].end |
235.06596875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
224.38409375 |
| transcript.pyannote[45].end |
224.70471875 |
| transcript.pyannote[46].speaker |
SPEAKER_01 |
| transcript.pyannote[46].start |
235.40346875 |
| transcript.pyannote[46].end |
241.71471875 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
240.68534375 |
| transcript.pyannote[47].end |
241.63034375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
241.71471875 |
| transcript.pyannote[48].end |
241.78221875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
241.93409375 |
| transcript.pyannote[49].end |
261.39096875 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
261.74534375 |
| transcript.pyannote[50].end |
265.00221875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
267.53346875 |
| transcript.pyannote[51].end |
268.51221875 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
268.68096875 |
| transcript.pyannote[52].end |
269.92971875 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
270.35159375 |
| transcript.pyannote[53].end |
293.30159375 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
284.86409375 |
| transcript.pyannote[54].end |
285.21846875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
287.44596875 |
| transcript.pyannote[55].end |
287.80034375 |
| transcript.pyannote[56].speaker |
SPEAKER_01 |
| transcript.pyannote[56].start |
293.67284375 |
| transcript.pyannote[56].end |
299.27534375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
298.26284375 |
| transcript.pyannote[57].end |
298.80284375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
299.27534375 |
| transcript.pyannote[58].end |
299.32596875 |
| transcript.pyannote[59].speaker |
SPEAKER_01 |
| transcript.pyannote[59].start |
300.25409375 |
| transcript.pyannote[59].end |
300.28784375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
300.28784375 |
| transcript.pyannote[60].end |
304.06784375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
304.75971875 |
| transcript.pyannote[61].end |
311.35784375 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
311.50971875 |
| transcript.pyannote[62].end |
317.38221875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
317.71971875 |
| transcript.pyannote[63].end |
320.74034375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
321.09471875 |
| transcript.pyannote[64].end |
322.86659375 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
323.10284375 |
| transcript.pyannote[65].end |
334.30784375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
334.78034375 |
| transcript.pyannote[66].end |
344.88846875 |
| transcript.pyannote[67].speaker |
SPEAKER_01 |
| transcript.pyannote[67].start |
346.30596875 |
| transcript.pyannote[67].end |
355.03034375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
355.03034375 |
| transcript.pyannote[68].end |
362.20221875 |
| transcript.pyannote[69].speaker |
SPEAKER_00 |
| transcript.pyannote[69].start |
362.43846875 |
| transcript.pyannote[69].end |
375.93846875 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
374.62221875 |
| transcript.pyannote[70].end |
375.78659375 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
375.93846875 |
| transcript.pyannote[71].end |
375.95534375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
375.95534375 |
| transcript.pyannote[72].end |
375.97221875 |
| transcript.pyannote[73].speaker |
SPEAKER_01 |
| transcript.pyannote[73].start |
375.97221875 |
| transcript.pyannote[73].end |
375.98909375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
376.64721875 |
| transcript.pyannote[74].end |
384.44346875 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
385.84409375 |
| transcript.pyannote[75].end |
392.89784375 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
393.25221875 |
| transcript.pyannote[76].end |
395.02409375 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
395.71596875 |
| transcript.pyannote[77].end |
410.38034375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
411.35909375 |
| transcript.pyannote[78].end |
412.05096875 |
| transcript.pyannote[79].speaker |
SPEAKER_01 |
| transcript.pyannote[79].start |
413.94096875 |
| transcript.pyannote[79].end |
430.76534375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
430.76534375 |
| transcript.pyannote[80].end |
432.46971875 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
430.79909375 |
| transcript.pyannote[81].end |
430.98471875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
433.53284375 |
| transcript.pyannote[82].end |
437.16096875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
437.61659375 |
| transcript.pyannote[83].end |
451.08284375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
451.55534375 |
| transcript.pyannote[84].end |
453.17534375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
453.95159375 |
| transcript.pyannote[85].end |
472.17659375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
472.37909375 |
| transcript.pyannote[86].end |
472.96971875 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
472.96971875 |
| transcript.pyannote[87].end |
486.97596875 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
479.88846875 |
| transcript.pyannote[88].end |
480.31034375 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
482.25096875 |
| transcript.pyannote[89].end |
482.77409375 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
483.93846875 |
| transcript.pyannote[90].end |
484.57971875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
486.97596875 |
| transcript.pyannote[91].end |
487.02659375 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
487.02659375 |
| transcript.pyannote[92].end |
488.22471875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
487.12784375 |
| transcript.pyannote[93].end |
494.78909375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
494.83971875 |
| transcript.pyannote[94].end |
499.09221875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
499.15971875 |
| transcript.pyannote[95].end |
507.05721875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
508.67721875 |
| transcript.pyannote[96].end |
509.89221875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
510.39846875 |
| transcript.pyannote[97].end |
511.41096875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
510.85409375 |
| transcript.pyannote[98].end |
511.90034375 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
511.84971875 |
| transcript.pyannote[99].end |
513.16596875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
513.48659375 |
| transcript.pyannote[100].end |
524.26971875 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
526.90221875 |
| transcript.pyannote[101].end |
526.91909375 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
526.91909375 |
| transcript.pyannote[102].end |
527.96534375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
527.96534375 |
| transcript.pyannote[103].end |
529.19721875 |
| transcript.pyannote[104].speaker |
SPEAKER_00 |
| transcript.pyannote[104].start |
529.19721875 |
| transcript.pyannote[104].end |
529.29846875 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
529.34909375 |
| transcript.pyannote[105].end |
530.26034375 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
530.90159375 |
| transcript.pyannote[106].end |
540.11534375 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
540.33471875 |
| transcript.pyannote[107].end |
546.94971875 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
547.72596875 |
| transcript.pyannote[108].end |
558.55971875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
558.88034375 |
| transcript.pyannote[109].end |
563.70659375 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
564.85409375 |
| transcript.pyannote[110].end |
569.32596875 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
569.56221875 |
| transcript.pyannote[111].end |
572.31284375 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
571.48596875 |
| transcript.pyannote[112].end |
577.96596875 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
572.80221875 |
| transcript.pyannote[113].end |
573.61221875 |
| transcript.pyannote[114].speaker |
SPEAKER_01 |
| transcript.pyannote[114].start |
577.96596875 |
| transcript.pyannote[114].end |
584.74971875 |
| transcript.pyannote[115].speaker |
SPEAKER_00 |
| transcript.pyannote[115].start |
584.74971875 |
| transcript.pyannote[115].end |
588.64784375 |
| transcript.pyannote[116].speaker |
SPEAKER_00 |
| transcript.pyannote[116].start |
588.90096875 |
| transcript.pyannote[116].end |
595.54971875 |
| transcript.pyannote[117].speaker |
SPEAKER_00 |
| transcript.pyannote[117].start |
596.37659375 |
| transcript.pyannote[117].end |
603.86909375 |
| transcript.pyannote[118].speaker |
SPEAKER_00 |
| transcript.pyannote[118].start |
604.49346875 |
| transcript.pyannote[118].end |
611.05784375 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
611.69909375 |
| transcript.pyannote[119].end |
613.11659375 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
613.40346875 |
| transcript.pyannote[120].end |
621.41909375 |
| transcript.pyannote[121].speaker |
SPEAKER_00 |
| transcript.pyannote[121].start |
619.64721875 |
| transcript.pyannote[121].end |
631.07159375 |
| transcript.pyannote[122].speaker |
SPEAKER_00 |
| transcript.pyannote[122].start |
631.91534375 |
| transcript.pyannote[122].end |
633.07971875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
633.53534375 |
| transcript.pyannote[123].end |
635.12159375 |
| transcript.pyannote[124].speaker |
SPEAKER_00 |
| transcript.pyannote[124].start |
635.88096875 |
| transcript.pyannote[124].end |
638.36159375 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
639.15471875 |
| transcript.pyannote[125].end |
647.30534375 |
| transcript.pyannote[126].speaker |
SPEAKER_00 |
| transcript.pyannote[126].start |
648.30096875 |
| transcript.pyannote[126].end |
649.44846875 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
650.22471875 |
| transcript.pyannote[127].end |
651.64221875 |
| transcript.pyannote[128].speaker |
SPEAKER_00 |
| transcript.pyannote[128].start |
652.11471875 |
| transcript.pyannote[128].end |
653.73471875 |
| transcript.pyannote[129].speaker |
SPEAKER_00 |
| transcript.pyannote[129].start |
654.32534375 |
| transcript.pyannote[129].end |
660.16409375 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
660.73784375 |
| transcript.pyannote[130].end |
663.82596875 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
664.07909375 |
| transcript.pyannote[131].end |
669.22596875 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
669.93471875 |
| transcript.pyannote[132].end |
673.64721875 |
| transcript.pyannote[133].speaker |
SPEAKER_00 |
| transcript.pyannote[133].start |
674.13659375 |
| transcript.pyannote[133].end |
675.82409375 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
676.22909375 |
| transcript.pyannote[134].end |
677.68034375 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
678.20346875 |
| transcript.pyannote[135].end |
682.25346875 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
682.65846875 |
| transcript.pyannote[136].end |
686.43846875 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
687.06284375 |
| transcript.pyannote[137].end |
688.19346875 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
688.69971875 |
| transcript.pyannote[138].end |
692.76659375 |
| transcript.pyannote[139].speaker |
SPEAKER_00 |
| transcript.pyannote[139].start |
692.96909375 |
| transcript.pyannote[139].end |
696.74909375 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
697.18784375 |
| transcript.pyannote[140].end |
700.14096875 |
| transcript.pyannote[141].speaker |
SPEAKER_00 |
| transcript.pyannote[141].start |
700.44471875 |
| transcript.pyannote[141].end |
706.77284375 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
707.04284375 |
| transcript.pyannote[142].end |
710.35034375 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
710.75534375 |
| transcript.pyannote[143].end |
714.53534375 |
| transcript.pyannote[144].speaker |
SPEAKER_00 |
| transcript.pyannote[144].start |
715.44659375 |
| transcript.pyannote[144].end |
723.10784375 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
723.54659375 |
| transcript.pyannote[145].end |
730.76909375 |
| transcript.pyannote[146].speaker |
SPEAKER_00 |
| transcript.pyannote[146].start |
731.19096875 |
| transcript.pyannote[146].end |
741.11346875 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
741.56909375 |
| transcript.pyannote[147].end |
745.39971875 |
| transcript.pyannote[148].speaker |
SPEAKER_00 |
| transcript.pyannote[148].start |
745.45034375 |
| transcript.pyannote[148].end |
749.09534375 |
| transcript.pyannote[149].speaker |
SPEAKER_00 |
| transcript.pyannote[149].start |
749.71971875 |
| transcript.pyannote[149].end |
753.31409375 |
| transcript.pyannote[150].speaker |
SPEAKER_01 |
| transcript.pyannote[150].start |
754.73159375 |
| transcript.pyannote[150].end |
756.06471875 |
| transcript.whisperx[0].start |
5.967 |
| transcript.whisperx[0].end |
25.896 |
| transcript.whisperx[0].text |
謝謝主席 有請人事長請人事長委員早安 人事長早請問人事長知道什麼是十大建設有哪十個建設是蔣經國時代的嗎 對大概高速公路 中鋼 中船 |
| transcript.whisperx[1].start |
28.587 |
| transcript.whisperx[1].end |
50.569 |
| transcript.whisperx[1].text |
中正國際機場機場大概是以交通為主體的以交通為主體中山高速公路還有就是以交通為主體的嘛陸海空嘛還有中港嘛台中港還有蘇澳港石化工業核能發電廠 |
| transcript.whisperx[2].start |
53.072 |
| transcript.whisperx[2].end |
60.009 |
| transcript.whisperx[2].text |
我想請教一下任市長你知道當時這個十大建設對我們台灣帶來什麼樣的效益 |
| transcript.whisperx[3].start |
63.221 |
| transcript.whisperx[3].end |
89.253 |
| transcript.whisperx[3].text |
那就是孩子要當大人了就是一個政府引領一個國家要轉型一個很重要的重大的投資第一個是抵抗當時那個石油危機帶來的經濟不景氣是短期面長期就是你說的當大人就是說把台灣創造現代化的一個基礎建設然後也改善我們的投資環境那包括鋼鐵造船石化工業都可以提高我們的 |
| transcript.whisperx[4].start |
89.673 |
| transcript.whisperx[4].end |
114.057 |
| transcript.whisperx[4].text |
一些原料的自主度 降低對外的依賴的程度為我們的工業轉型奠定非常好的基礎所以台灣今天的所謂的經濟奇蹟跟這個十大建設基礎建設有非常高度的關係 對不對一定是非常有關那我想請教您 你覺得十大建設最大的工程有哪些人 |
| transcript.whisperx[5].start |
117.386 |
| transcript.whisperx[5].end |
140.827 |
| transcript.whisperx[5].text |
大概孫益賢還有我們中綱那個趙耀東嘛那當然帶頭的大概是我們蔣經國前總統嘛那當然這裡面默默奉獻的會更多人啦會更多人默默奉獻更多的是哪一些人 |
| transcript.whisperx[6].start |
142.694 |
| transcript.whisperx[6].end |
161.602 |
| transcript.whisperx[6].text |
那位都沒出名 他就常常這麼做我跟人事長講啦 就是你啦你知道嗎 就是跟你一樣奉公守法 兢兢業業為國家服務打拼的公務員 對不對沒有這些文官他沒有辦法執行這些政務官的政策嘛 對不對 |
| transcript.whisperx[7].start |
162.951 |
| transcript.whisperx[7].end |
179.54 |
| transcript.whisperx[7].text |
公務人員本來就是一個國家安定穩定還有發展一個非常非常重要的因素可是他們平常很少被highlight出來他們是默默在做就是無名英雄無名英雄就當年 |
| transcript.whisperx[8].start |
180.734 |
| transcript.whisperx[8].end |
209.102 |
| transcript.whisperx[8].text |
你會發現說除了一些優秀的政務官專業的一些我們講國營事業經營者還有就是一些非常優秀的文官專業認真然後忠誠然後為我們國家建設來打拼的公務員是他們打造今天台灣堅實的一個所謂的基礎建設跟經濟基礎那我再問你知道現在台灣其實我們的經濟產業裡面重中之重是高科技產業對不對 |
| transcript.whisperx[9].start |
211.332 |
| transcript.whisperx[9].end |
233.548 |
| transcript.whisperx[9].text |
目前大家從十年前的自動性產業那這五六年就是直接就跨到半導體部分那當然未來還是會以AI為主體的一個產業然後它會延展出來比如像光通訊還有量子運算的相關的領域的還有一些 |
| transcript.whisperx[10].start |
237.49 |
| transcript.whisperx[10].end |
264.668 |
| transcript.whisperx[10].text |
醫療科技的部分我覺得是台灣非常有機會的一個區塊那其中有一個我們講就是說等於是台灣高科技產業的孵化器就新竹科學園區嘛包括台積電啊當年在電機的時候也是你剛剛講的那些包括孫玉璇啊李國鼎啊很多優秀的政務官那打造這些所謂的我們講高科技的所謂的搖籃還是有一群無名的英雄默默無名的英雄是誰 |
| transcript.whisperx[11].start |
267.594 |
| transcript.whisperx[11].end |
291.874 |
| transcript.whisperx[11].text |
你剛講過了嘛我提到從工研院出來的這些人坦白講那一個機關對台灣來講很重要工研院然後這裡面大概大家耳熟能詳的就是孫益謙以前在台電嘛後來有李國鼎嘛 KT嘛還有相關的這些人我覺得他always在這個領域會 |
| transcript.whisperx[12].start |
294.476 |
| transcript.whisperx[12].end |
303.707 |
| transcript.whisperx[12].text |
給大家坐標一個非常無可期待的一個位置覺得市長講得很好我為什麼要問你這些事情知道嗎 |
| transcript.whisperx[13].start |
304.841 |
| transcript.whisperx[13].end |
332.557 |
| transcript.whisperx[13].text |
因為你會看到在那個年代當中其實第一個我們整個社會的景象是這樣有一些非常優秀有遠見有潛在力有魄力的政務官然後帶著一群有專業有熱情為國家奉獻的公務員所以兩個合作起來打拼打造了今天台灣非常堅實的不管是產業的基礎還是我們講說是工業的基礎乃至於經濟發展的基礎 |
| transcript.whisperx[14].start |
334.858 |
| transcript.whisperx[14].end |
344.488 |
| transcript.whisperx[14].text |
那當時的公務員說實在話任市長你也是一路公務員上來嘛對不對公務員在當時應該還算是一個算是還蠻光榮的行業吧對不對 |
| transcript.whisperx[15].start |
346.625 |
| transcript.whisperx[15].end |
368.144 |
| transcript.whisperx[15].text |
穩定啦 穩定那光榮是覺得就是奉獻國家的一個蠻好的一個途徑非常好我跟任司長講我當兵退伍我也考上公務員考到高考分派到公平教育委員會當時我印象非常深刻當我回去跟爸爸媽媽講我考上公務員之後 |
| transcript.whisperx[16].start |
368.717 |
| transcript.whisperx[16].end |
384.533 |
| transcript.whisperx[16].text |
我爸爸那开心的样子我相信任市长你应该有经历过这个过程吧没有被骂为什么要进国家机关代表你的能力很好这个你的父母亲不希望你当公务员是这个意思吗我要讲一件事拉回来一个重点就是事实上在过去的我们的所谓的 |
| transcript.whisperx[17].start |
390.448 |
| transcript.whisperx[17].end |
409.123 |
| transcript.whisperx[17].text |
政治環境或是政府環境裡面公務員是很有光榮感的那時候國家也很照顧公務員那國家也很需要優秀的文官作為我們今天政府的整個支柱但是我想請問你跟過去比起來公務員還是一個吸引人的職業選擇嗎還是嗎 |
| transcript.whisperx[18].start |
413.973 |
| transcript.whisperx[18].end |
436.388 |
| transcript.whisperx[18].text |
整體來講是啦可是有一些時空環境的不一樣現在年輕人他對他的工作的那種期待他很多人不願意選擇朝九晚五他希望他的上班時間可以更加的輕鬆你講這個我不是很認同我也不認為什麼叫時代會改變什麼樣的人的習性 |
| transcript.whisperx[19].start |
437.697 |
| transcript.whisperx[19].end |
452.616 |
| transcript.whisperx[19].text |
你也可以講我在當兵退伍那一年我可能也不一定喜歡朝九晚五的工作啊如果自由自在又有好薪水又有好待遇又有好的退休保障的工作然後又有光榮感的工作我還是願意去做啊不要朝九晚五啊所以這跟時代無關 |
| transcript.whisperx[20].start |
454.028 |
| transcript.whisperx[20].end |
470.605 |
| transcript.whisperx[20].text |
基本上有一個比較彈性自由的工作環境那是每個時代都會有人嚮往的可是為什麼以前我只是問你一件事跟以前跟20年前跟30年前好不用講跟10年前好了相比你覺得公務員還是一個吸引人的職業選擇嗎 |
| transcript.whisperx[21].start |
473.627 |
| transcript.whisperx[21].end |
493.7 |
| transcript.whisperx[21].text |
我覺得換個角度來看以前選擇的機會會比較少所以很多人選擇當老師 公務人員因為生活比較安定現在選擇也比較多所以我想以前選擇也很多有些經濟蓬勃發展的過程當中商業環境優渥還是很多不一樣的選擇 |
| transcript.whisperx[22].start |
494.941 |
| transcript.whisperx[22].end |
524.042 |
| transcript.whisperx[22].text |
那我拿一個客觀數據 因為講感覺不準嘛講個客觀數據嘛你知道在馬英九執政的時候他公務人員報考人數最高可以到多少人哪一年最高2009年啦50萬人啦50萬人 最高啦他平均大概保持到將近40萬嘛但是最高曾經到50萬嘛 對不對那你知道去年公務人員報考人數剩多少 |
| transcript.whisperx[23].start |
527.046 |
| transcript.whisperx[23].end |
546.431 |
| transcript.whisperx[23].text |
16萬啦大概不到2016萬啦如果從這個國民黨執政把政府所有的50萬做最高點來算到16萬那是掉7成啦掉7%那就算是以所謂40萬來算那也掉到6成啦少了6成欸 |
| transcript.whisperx[24].start |
547.796 |
| transcript.whisperx[24].end |
563.536 |
| transcript.whisperx[24].text |
我想請問你這客觀數據到底展現出什麼樣的一個狀況公務人員今天為什麼報考人數大減你不要跟我講掃紙化喔台灣的掃紙化也沒有掃到說今天掉六成七成沒有喔 沒錯吧 |
| transcript.whisperx[25].start |
564.964 |
| transcript.whisperx[25].end |
585.66 |
| transcript.whisperx[25].text |
沒有到七成 大概今年會到十一萬左右這樣的幅度還是蠻大的這樣的幅度大啊但是我也跟你講就是說也沒有到今天公務人員報考人數跌幅這麼深啊 沒錯吧我覺得比較客觀來講應該是整個經濟環境跟以前真的很不一樣我要跟我們的主計長講 |
| transcript.whisperx[26].start |
589.002 |
| transcript.whisperx[26].end |
612.688 |
| transcript.whisperx[26].text |
你講說經濟環境講年輕人選擇職業的多樣化這些都是每個時代都有啦有經濟有繁榮有低迷台灣這麼多年來都是如此但公務人員報考的人數是一直在上升的那回頭為什麼要問這些事情為什麼跟你講一件事情請問你贊成今天國民黨主張的停侃年金嗎停侃公務員年金嗎 |
| transcript.whisperx[27].start |
613.942 |
| transcript.whisperx[27].end |
637.069 |
| transcript.whisperx[27].text |
我覺得這個議題是要從國家整體的那種潛藏負債的角度來看我跟任市長講 你知道我向來不為難你啦你現在主要的執政的政策不是你也不敢講出跟執政政策不一樣的方向但我今天很客觀告訴你如果今天我們公務人員報考人數還是一樣維持在40萬 50萬 |
| transcript.whisperx[28].start |
639.329 |
| transcript.whisperx[28].end |
653.408 |
| transcript.whisperx[28].text |
你年金砍到一直砍他還是維持這麼多報考人數代表這個起碼有個客觀指標他還是一個吸引人的職業現在不是啊我們沒有反對今天所謂退休金或年金 |
| transcript.whisperx[29].start |
654.643 |
| transcript.whisperx[29].end |
677.1 |
| transcript.whisperx[29].text |
今天要做適度的調整公務人員也沒反對喔他沒有國家一輩子付出奉獻那你所得替代一直砍砍砍現在砍到七成以下他們還是願意接受這些所謂的年金的調整可是今天非常卑微是什麼因為已經砍到傷筋動骨了嘛我講白了 人事長你做人事長喔 |
| transcript.whisperx[30].start |
678.294 |
| transcript.whisperx[30].end |
686.29 |
| transcript.whisperx[30].text |
公務人員體系的所有的用人的狀況你是最了解的你真的我不勉強你說這句話但我相信心知肚明 |
| transcript.whisperx[31].start |
687.276 |
| transcript.whisperx[31].end |
714.144 |
| transcript.whisperx[31].text |
現在公務員其實光榮感是受很大的一個所謂的折損那他生活保障跟退休保障的待遇他也被現在政府尤其是退休保障有非常大的削減的時候他當然降低了他對所謂的職業的選擇的吸引力啊那為什麼我們今天要主張停砍停砍才是真改革因為你砍過頭你傷害的是國家啦 |
| transcript.whisperx[32].start |
715.686 |
| transcript.whisperx[32].end |
740.821 |
| transcript.whisperx[32].text |
當年那麼多的文官奠基出來的台灣經濟的榮景今天你這樣去傷害他們不要講不公道你已經妨礙了國家的運作很多地方公務員也找不到老師也找不到人都有這個問題開始出現一個國家如果沒有好的文官來做支撐請問如何去因應多變的局面跟複雜的跟重要的國家建設跟政策呢 |
| transcript.whisperx[33].start |
741.701 |
| transcript.whisperx[33].end |
752.772 |
| transcript.whisperx[33].text |
所以這邊我還是要再次呼籲一件事情真的也拜託今天我們的執政者或中央政府高抬貴手年金這個題目停砍才是真的改革謝謝 |