IVOD_ID |
163121 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163121 |
日期 |
2025-07-14 |
會議資料.會議代碼 |
全院委員會-11-3-4 |
會議資料.會議代碼:str |
第11屆第3會期第4次全院委員會會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
4 |
會議資料.種類 |
全院委員會 |
會議資料.標題 |
第11屆第3會期第4次全院委員會會議 |
影片種類 |
Clip |
開始時間 |
2025-07-14T15:21:51+08:00 |
結束時間 |
2025-07-14T15:42:19+08:00 |
影片長度 |
00:20:28 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ab52da33aba8292bafbbf0847f817951e71d587566aeaab6eb4b0aafec90296dc93dc069a48e80b15ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
陳俊宇 |
委員發言時間 |
15:21:51 - 15:42:19 |
會議時間 |
2025-07-14T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第4次全院委員會會議(事由:總統咨,為司法院大法官含院長、副院長,現有缺額7名,茲依據中華民國憲法增修條文第5條規定,提名蔡秋明、蘇素娥、蕭文生、鄭純惠、林麗瑩、陳慈陽、詹鎮榮7位為司法院大法官,並以蔡秋明為院長、蘇素娥為副院長,咨請同意案。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
0.92534375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
1.24596875 |
transcript.pyannote[1].end |
6.30846875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
6.71346875 |
transcript.pyannote[2].end |
7.23659375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
7.23659375 |
transcript.pyannote[3].end |
7.81034375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
7.81034375 |
transcript.pyannote[4].end |
8.53596875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
14.03721875 |
transcript.pyannote[5].end |
15.96096875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
17.53034375 |
transcript.pyannote[6].end |
17.81721875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
18.28971875 |
transcript.pyannote[7].end |
51.66846875 |
transcript.pyannote[8].speaker |
SPEAKER_02 |
transcript.pyannote[8].start |
52.27596875 |
transcript.pyannote[8].end |
54.46971875 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
55.44846875 |
transcript.pyannote[9].end |
57.72659375 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
58.24971875 |
transcript.pyannote[10].end |
66.67034375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
67.21034375 |
transcript.pyannote[11].end |
70.51784375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
71.32784375 |
transcript.pyannote[12].end |
72.10409375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
72.23909375 |
transcript.pyannote[13].end |
84.87846875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
85.06409375 |
transcript.pyannote[14].end |
97.24784375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
97.61909375 |
transcript.pyannote[15].end |
100.84221875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
101.21346875 |
transcript.pyannote[16].end |
101.75346875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
102.54659375 |
transcript.pyannote[17].end |
112.23284375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
112.75596875 |
transcript.pyannote[18].end |
115.45596875 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
116.06346875 |
transcript.pyannote[19].end |
126.01971875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
126.30659375 |
transcript.pyannote[20].end |
127.97721875 |
transcript.pyannote[21].speaker |
SPEAKER_02 |
transcript.pyannote[21].start |
129.42846875 |
transcript.pyannote[21].end |
132.46596875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
132.75284375 |
transcript.pyannote[22].end |
137.57909375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
136.06034375 |
transcript.pyannote[23].end |
136.41471875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
138.28784375 |
transcript.pyannote[24].end |
142.62471875 |
transcript.pyannote[25].speaker |
SPEAKER_02 |
transcript.pyannote[25].start |
142.92846875 |
transcript.pyannote[25].end |
149.88096875 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
151.16346875 |
transcript.pyannote[26].end |
159.14534375 |
transcript.pyannote[27].speaker |
SPEAKER_02 |
transcript.pyannote[27].start |
159.83721875 |
transcript.pyannote[27].end |
162.03096875 |
transcript.pyannote[28].speaker |
SPEAKER_02 |
transcript.pyannote[28].start |
162.75659375 |
transcript.pyannote[28].end |
165.32159375 |
transcript.pyannote[29].speaker |
SPEAKER_02 |
transcript.pyannote[29].start |
165.67596875 |
transcript.pyannote[29].end |
168.86534375 |
transcript.pyannote[30].speaker |
SPEAKER_02 |
transcript.pyannote[30].start |
169.16909375 |
transcript.pyannote[30].end |
171.51471875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
171.88596875 |
transcript.pyannote[31].end |
176.02034375 |
transcript.pyannote[32].speaker |
SPEAKER_02 |
transcript.pyannote[32].start |
176.49284375 |
transcript.pyannote[32].end |
178.50096875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
178.88909375 |
transcript.pyannote[33].end |
181.03221875 |
transcript.pyannote[34].speaker |
SPEAKER_02 |
transcript.pyannote[34].start |
181.36971875 |
transcript.pyannote[34].end |
182.71971875 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
182.92221875 |
transcript.pyannote[35].end |
186.14534375 |
transcript.pyannote[36].speaker |
SPEAKER_02 |
transcript.pyannote[36].start |
186.65159375 |
transcript.pyannote[36].end |
187.84971875 |
transcript.pyannote[37].speaker |
SPEAKER_02 |
transcript.pyannote[37].start |
188.15346875 |
transcript.pyannote[37].end |
192.32159375 |
transcript.pyannote[38].speaker |
SPEAKER_02 |
transcript.pyannote[38].start |
192.79409375 |
transcript.pyannote[38].end |
194.26221875 |
transcript.pyannote[39].speaker |
SPEAKER_02 |
transcript.pyannote[39].start |
194.68409375 |
transcript.pyannote[39].end |
200.99534375 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
201.53534375 |
transcript.pyannote[40].end |
204.30284375 |
transcript.pyannote[41].speaker |
SPEAKER_02 |
transcript.pyannote[41].start |
205.12971875 |
transcript.pyannote[41].end |
206.91846875 |
transcript.pyannote[42].speaker |
SPEAKER_02 |
transcript.pyannote[42].start |
207.00284375 |
transcript.pyannote[42].end |
210.15846875 |
transcript.pyannote[43].speaker |
SPEAKER_02 |
transcript.pyannote[43].start |
211.06971875 |
transcript.pyannote[43].end |
214.10721875 |
transcript.pyannote[44].speaker |
SPEAKER_02 |
transcript.pyannote[44].start |
215.03534375 |
transcript.pyannote[44].end |
218.95034375 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
219.77721875 |
transcript.pyannote[45].end |
222.32534375 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
224.16471875 |
transcript.pyannote[46].end |
233.68221875 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
234.25596875 |
transcript.pyannote[47].end |
236.73659375 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
236.85471875 |
transcript.pyannote[48].end |
238.91346875 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
239.55471875 |
transcript.pyannote[49].end |
243.75659375 |
transcript.pyannote[50].speaker |
SPEAKER_02 |
transcript.pyannote[50].start |
244.36409375 |
transcript.pyannote[50].end |
249.88221875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
250.59096875 |
transcript.pyannote[51].end |
250.97909375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
251.36721875 |
transcript.pyannote[52].end |
251.97471875 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
252.71721875 |
transcript.pyannote[53].end |
267.66846875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
267.76971875 |
transcript.pyannote[54].end |
278.35034375 |
transcript.pyannote[55].speaker |
SPEAKER_01 |
transcript.pyannote[55].start |
278.73846875 |
transcript.pyannote[55].end |
286.80471875 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
287.24346875 |
transcript.pyannote[56].end |
296.20409375 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
296.62596875 |
transcript.pyannote[57].end |
311.10471875 |
transcript.pyannote[58].speaker |
SPEAKER_02 |
transcript.pyannote[58].start |
312.33659375 |
transcript.pyannote[58].end |
315.30659375 |
transcript.pyannote[59].speaker |
SPEAKER_02 |
transcript.pyannote[59].start |
315.71159375 |
transcript.pyannote[59].end |
324.23346875 |
transcript.pyannote[60].speaker |
SPEAKER_02 |
transcript.pyannote[60].start |
324.62159375 |
transcript.pyannote[60].end |
331.77659375 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
332.26596875 |
transcript.pyannote[61].end |
340.88909375 |
transcript.pyannote[62].speaker |
SPEAKER_02 |
transcript.pyannote[62].start |
341.00721875 |
transcript.pyannote[62].end |
343.42034375 |
transcript.pyannote[63].speaker |
SPEAKER_02 |
transcript.pyannote[63].start |
344.28096875 |
transcript.pyannote[63].end |
348.61784375 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
349.07346875 |
transcript.pyannote[64].end |
357.32534375 |
transcript.pyannote[65].speaker |
SPEAKER_02 |
transcript.pyannote[65].start |
357.54471875 |
transcript.pyannote[65].end |
358.43909375 |
transcript.pyannote[66].speaker |
SPEAKER_02 |
transcript.pyannote[66].start |
359.08034375 |
transcript.pyannote[66].end |
362.99534375 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
363.29909375 |
transcript.pyannote[67].end |
365.76284375 |
transcript.pyannote[68].speaker |
SPEAKER_02 |
transcript.pyannote[68].start |
366.06659375 |
transcript.pyannote[68].end |
366.64034375 |
transcript.pyannote[69].speaker |
SPEAKER_02 |
transcript.pyannote[69].start |
367.41659375 |
transcript.pyannote[69].end |
371.23034375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
371.82096875 |
transcript.pyannote[70].end |
372.64784375 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
373.37346875 |
transcript.pyannote[71].end |
377.71034375 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
378.31784375 |
transcript.pyannote[72].end |
382.24971875 |
transcript.pyannote[73].speaker |
SPEAKER_02 |
transcript.pyannote[73].start |
382.67159375 |
transcript.pyannote[73].end |
385.21971875 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
386.08034375 |
transcript.pyannote[74].end |
388.74659375 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
389.01659375 |
transcript.pyannote[75].end |
392.17221875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
393.20159375 |
transcript.pyannote[76].end |
395.14221875 |
transcript.pyannote[77].speaker |
SPEAKER_02 |
transcript.pyannote[77].start |
395.31096875 |
transcript.pyannote[77].end |
396.54284375 |
transcript.pyannote[78].speaker |
SPEAKER_02 |
transcript.pyannote[78].start |
396.74534375 |
transcript.pyannote[78].end |
398.07846875 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
398.33159375 |
transcript.pyannote[79].end |
403.98471875 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
404.87909375 |
transcript.pyannote[80].end |
409.51971875 |
transcript.pyannote[81].speaker |
SPEAKER_02 |
transcript.pyannote[81].start |
409.90784375 |
transcript.pyannote[81].end |
412.54034375 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
413.06346875 |
transcript.pyannote[82].end |
418.69971875 |
transcript.pyannote[83].speaker |
SPEAKER_02 |
transcript.pyannote[83].start |
419.13846875 |
transcript.pyannote[83].end |
421.88909375 |
transcript.pyannote[84].speaker |
SPEAKER_02 |
transcript.pyannote[84].start |
422.10846875 |
transcript.pyannote[84].end |
423.27284375 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
423.34034375 |
transcript.pyannote[85].end |
425.98971875 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
426.27659375 |
transcript.pyannote[86].end |
427.98096875 |
transcript.pyannote[87].speaker |
SPEAKER_02 |
transcript.pyannote[87].start |
428.21721875 |
transcript.pyannote[87].end |
430.98471875 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
431.82846875 |
transcript.pyannote[88].end |
432.48659375 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
432.58784375 |
transcript.pyannote[89].end |
436.70534375 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
436.94159375 |
transcript.pyannote[90].end |
446.05409375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
446.44221875 |
transcript.pyannote[91].end |
455.89221875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
456.04409375 |
transcript.pyannote[92].end |
473.30721875 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
473.67846875 |
transcript.pyannote[93].end |
477.28971875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
477.52596875 |
transcript.pyannote[94].end |
493.06784375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
494.33346875 |
transcript.pyannote[95].end |
494.68784375 |
transcript.pyannote[96].speaker |
SPEAKER_02 |
transcript.pyannote[96].start |
494.82284375 |
transcript.pyannote[96].end |
495.63284375 |
transcript.pyannote[97].speaker |
SPEAKER_02 |
transcript.pyannote[97].start |
495.70034375 |
transcript.pyannote[97].end |
499.73346875 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
500.59409375 |
transcript.pyannote[98].end |
503.96909375 |
transcript.pyannote[99].speaker |
SPEAKER_02 |
transcript.pyannote[99].start |
504.52596875 |
transcript.pyannote[99].end |
508.12034375 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
509.03159375 |
transcript.pyannote[100].end |
510.97221875 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
511.25909375 |
transcript.pyannote[101].end |
513.73971875 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
514.14471875 |
transcript.pyannote[102].end |
518.19471875 |
transcript.pyannote[103].speaker |
SPEAKER_02 |
transcript.pyannote[103].start |
518.65034375 |
transcript.pyannote[103].end |
520.92846875 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
521.35034375 |
transcript.pyannote[104].end |
525.65346875 |
transcript.pyannote[105].speaker |
SPEAKER_02 |
transcript.pyannote[105].start |
526.10909375 |
transcript.pyannote[105].end |
529.43346875 |
transcript.pyannote[106].speaker |
SPEAKER_02 |
transcript.pyannote[106].start |
529.78784375 |
transcript.pyannote[106].end |
531.64409375 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
531.93096875 |
transcript.pyannote[107].end |
534.44534375 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
535.20471875 |
transcript.pyannote[108].end |
541.21221875 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
541.70159375 |
transcript.pyannote[109].end |
544.78971875 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
545.14409375 |
transcript.pyannote[110].end |
547.08471875 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
547.37159375 |
transcript.pyannote[111].end |
549.12659375 |
transcript.pyannote[112].speaker |
SPEAKER_02 |
transcript.pyannote[112].start |
549.41346875 |
transcript.pyannote[112].end |
551.05034375 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
551.48909375 |
transcript.pyannote[113].end |
553.96971875 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
554.32409375 |
transcript.pyannote[114].end |
555.62346875 |
transcript.pyannote[115].speaker |
SPEAKER_02 |
transcript.pyannote[115].start |
556.53471875 |
transcript.pyannote[115].end |
559.62284375 |
transcript.pyannote[116].speaker |
SPEAKER_02 |
transcript.pyannote[116].start |
560.09534375 |
transcript.pyannote[116].end |
563.28471875 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
563.52096875 |
transcript.pyannote[117].end |
565.84971875 |
transcript.pyannote[118].speaker |
SPEAKER_02 |
transcript.pyannote[118].start |
566.06909375 |
transcript.pyannote[118].end |
569.73096875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
570.59159375 |
transcript.pyannote[119].end |
571.01346875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
571.40159375 |
transcript.pyannote[120].end |
592.86659375 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
593.50784375 |
transcript.pyannote[121].end |
593.92971875 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
594.77346875 |
transcript.pyannote[122].end |
595.54971875 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
595.75221875 |
transcript.pyannote[123].end |
603.00846875 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
603.26159375 |
transcript.pyannote[124].end |
622.92096875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
623.15721875 |
transcript.pyannote[125].end |
627.02159375 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
627.22409375 |
transcript.pyannote[126].end |
630.88596875 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
631.66221875 |
transcript.pyannote[127].end |
632.77596875 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
633.04596875 |
transcript.pyannote[128].end |
637.19721875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
637.36596875 |
transcript.pyannote[129].end |
644.04846875 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
644.30159375 |
transcript.pyannote[130].end |
650.37659375 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
651.00096875 |
transcript.pyannote[131].end |
657.29534375 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
657.51471875 |
transcript.pyannote[132].end |
661.63221875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
662.66159375 |
transcript.pyannote[133].end |
678.25409375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
678.50721875 |
transcript.pyannote[134].end |
684.63284375 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
684.81846875 |
transcript.pyannote[135].end |
697.49159375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
697.93034375 |
transcript.pyannote[136].end |
704.74784375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
705.25409375 |
transcript.pyannote[137].end |
710.87346875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
711.10971875 |
transcript.pyannote[138].end |
712.24034375 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
712.91534375 |
transcript.pyannote[139].end |
714.36659375 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
714.58596875 |
transcript.pyannote[140].end |
717.04971875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
717.21846875 |
transcript.pyannote[141].end |
720.05346875 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
720.42471875 |
transcript.pyannote[142].end |
728.87909375 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
729.28409375 |
transcript.pyannote[143].end |
733.35096875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
733.63784375 |
transcript.pyannote[144].end |
736.32096875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
736.42221875 |
transcript.pyannote[145].end |
740.74221875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
740.97846875 |
transcript.pyannote[146].end |
741.75471875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
742.41284375 |
transcript.pyannote[147].end |
746.54721875 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
747.01971875 |
transcript.pyannote[148].end |
750.86721875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
751.17096875 |
transcript.pyannote[149].end |
752.41971875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
752.90909375 |
transcript.pyannote[150].end |
754.51221875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
754.86659375 |
transcript.pyannote[151].end |
757.83659375 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
759.35534375 |
transcript.pyannote[152].end |
763.91159375 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
764.55284375 |
transcript.pyannote[153].end |
769.76721875 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
770.40846875 |
transcript.pyannote[154].end |
776.28096875 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
777.42846875 |
transcript.pyannote[155].end |
778.86284375 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
779.70659375 |
transcript.pyannote[156].end |
781.78221875 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
782.35596875 |
transcript.pyannote[157].end |
785.89971875 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
786.08534375 |
transcript.pyannote[158].end |
793.89846875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
786.10221875 |
transcript.pyannote[159].end |
786.50721875 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
794.42159375 |
transcript.pyannote[160].end |
796.59846875 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
796.98659375 |
transcript.pyannote[161].end |
797.30721875 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
797.74596875 |
transcript.pyannote[162].end |
799.93971875 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
800.68221875 |
transcript.pyannote[163].end |
801.37409375 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
801.84659375 |
transcript.pyannote[164].end |
802.36971875 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
803.17971875 |
transcript.pyannote[165].end |
808.07346875 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
808.96784375 |
transcript.pyannote[166].end |
812.89971875 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
813.23721875 |
transcript.pyannote[167].end |
815.17784375 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
816.35909375 |
transcript.pyannote[168].end |
818.43471875 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
818.94096875 |
transcript.pyannote[169].end |
823.53096875 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
824.07096875 |
transcript.pyannote[170].end |
829.01534375 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
829.82534375 |
transcript.pyannote[171].end |
833.77409375 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
834.90471875 |
transcript.pyannote[172].end |
836.91284375 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
837.63846875 |
transcript.pyannote[173].end |
842.53221875 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
842.98784375 |
transcript.pyannote[174].end |
847.37534375 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
847.66221875 |
transcript.pyannote[175].end |
853.04534375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
849.70409375 |
transcript.pyannote[176].end |
850.63221875 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
853.23096875 |
transcript.pyannote[177].end |
856.84221875 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
857.23034375 |
transcript.pyannote[178].end |
858.88409375 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
859.37346875 |
transcript.pyannote[179].end |
881.19284375 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
881.59784375 |
transcript.pyannote[180].end |
883.75784375 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
883.87596875 |
transcript.pyannote[181].end |
886.87971875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
887.30159375 |
transcript.pyannote[182].end |
890.89596875 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
891.43596875 |
transcript.pyannote[183].end |
922.94159375 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
923.34659375 |
transcript.pyannote[184].end |
931.78409375 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
932.98221875 |
transcript.pyannote[185].end |
933.28596875 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
933.65721875 |
transcript.pyannote[186].end |
937.53846875 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
937.89284375 |
transcript.pyannote[187].end |
941.06534375 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
941.52096875 |
transcript.pyannote[188].end |
946.24596875 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
946.75221875 |
transcript.pyannote[189].end |
952.01721875 |
transcript.pyannote[190].speaker |
SPEAKER_02 |
transcript.pyannote[190].start |
952.65846875 |
transcript.pyannote[190].end |
954.43034375 |
transcript.pyannote[191].speaker |
SPEAKER_02 |
transcript.pyannote[191].start |
955.32471875 |
transcript.pyannote[191].end |
956.11784375 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
956.74221875 |
transcript.pyannote[192].end |
958.53096875 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
959.12159375 |
transcript.pyannote[193].end |
959.77971875 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
960.91034375 |
transcript.pyannote[194].end |
961.56846875 |
transcript.pyannote[195].speaker |
SPEAKER_02 |
transcript.pyannote[195].start |
962.02409375 |
transcript.pyannote[195].end |
963.77909375 |
transcript.pyannote[196].speaker |
SPEAKER_02 |
transcript.pyannote[196].start |
964.47096875 |
transcript.pyannote[196].end |
967.35659375 |
transcript.pyannote[197].speaker |
SPEAKER_02 |
transcript.pyannote[197].start |
968.03159375 |
transcript.pyannote[197].end |
969.71909375 |
transcript.pyannote[198].speaker |
SPEAKER_02 |
transcript.pyannote[198].start |
970.17471875 |
transcript.pyannote[198].end |
977.26221875 |
transcript.pyannote[199].speaker |
SPEAKER_02 |
transcript.pyannote[199].start |
977.58284375 |
transcript.pyannote[199].end |
989.47971875 |
transcript.pyannote[200].speaker |
SPEAKER_02 |
transcript.pyannote[200].start |
990.10409375 |
transcript.pyannote[200].end |
990.39096875 |
transcript.pyannote[201].speaker |
SPEAKER_01 |
transcript.pyannote[201].start |
990.39096875 |
transcript.pyannote[201].end |
990.40784375 |
transcript.pyannote[202].speaker |
SPEAKER_01 |
transcript.pyannote[202].start |
990.57659375 |
transcript.pyannote[202].end |
1009.98284375 |
transcript.pyannote[203].speaker |
SPEAKER_01 |
transcript.pyannote[203].start |
1010.30346875 |
transcript.pyannote[203].end |
1014.28596875 |
transcript.pyannote[204].speaker |
SPEAKER_01 |
transcript.pyannote[204].start |
1014.48846875 |
transcript.pyannote[204].end |
1014.96096875 |
transcript.pyannote[205].speaker |
SPEAKER_01 |
transcript.pyannote[205].start |
1015.66971875 |
transcript.pyannote[205].end |
1018.43721875 |
transcript.pyannote[206].speaker |
SPEAKER_01 |
transcript.pyannote[206].start |
1018.50471875 |
transcript.pyannote[206].end |
1021.69409375 |
transcript.pyannote[207].speaker |
SPEAKER_01 |
transcript.pyannote[207].start |
1022.06534375 |
transcript.pyannote[207].end |
1036.22346875 |
transcript.pyannote[208].speaker |
SPEAKER_01 |
transcript.pyannote[208].start |
1036.25721875 |
transcript.pyannote[208].end |
1039.22721875 |
transcript.pyannote[209].speaker |
SPEAKER_02 |
transcript.pyannote[209].start |
1040.45909375 |
transcript.pyannote[209].end |
1041.79221875 |
transcript.pyannote[210].speaker |
SPEAKER_02 |
transcript.pyannote[210].start |
1042.16346875 |
transcript.pyannote[210].end |
1051.52909375 |
transcript.pyannote[211].speaker |
SPEAKER_02 |
transcript.pyannote[211].start |
1052.54159375 |
transcript.pyannote[211].end |
1056.28784375 |
transcript.pyannote[212].speaker |
SPEAKER_02 |
transcript.pyannote[212].start |
1056.65909375 |
transcript.pyannote[212].end |
1058.61659375 |
transcript.pyannote[213].speaker |
SPEAKER_02 |
transcript.pyannote[213].start |
1059.42659375 |
transcript.pyannote[213].end |
1064.05034375 |
transcript.pyannote[214].speaker |
SPEAKER_02 |
transcript.pyannote[214].start |
1064.70846875 |
transcript.pyannote[214].end |
1068.08346875 |
transcript.pyannote[215].speaker |
SPEAKER_02 |
transcript.pyannote[215].start |
1068.69096875 |
transcript.pyannote[215].end |
1070.22659375 |
transcript.pyannote[216].speaker |
SPEAKER_02 |
transcript.pyannote[216].start |
1070.44596875 |
transcript.pyannote[216].end |
1071.49221875 |
transcript.pyannote[217].speaker |
SPEAKER_02 |
transcript.pyannote[217].start |
1072.06596875 |
transcript.pyannote[217].end |
1072.62284375 |
transcript.pyannote[218].speaker |
SPEAKER_02 |
transcript.pyannote[218].start |
1072.97721875 |
transcript.pyannote[218].end |
1074.69846875 |
transcript.pyannote[219].speaker |
SPEAKER_02 |
transcript.pyannote[219].start |
1075.17096875 |
transcript.pyannote[219].end |
1081.60034375 |
transcript.pyannote[220].speaker |
SPEAKER_02 |
transcript.pyannote[220].start |
1082.17409375 |
transcript.pyannote[220].end |
1083.59159375 |
transcript.pyannote[221].speaker |
SPEAKER_02 |
transcript.pyannote[221].start |
1083.77721875 |
transcript.pyannote[221].end |
1085.02596875 |
transcript.pyannote[222].speaker |
SPEAKER_02 |
transcript.pyannote[222].start |
1085.90346875 |
transcript.pyannote[222].end |
1090.54409375 |
transcript.pyannote[223].speaker |
SPEAKER_02 |
transcript.pyannote[223].start |
1091.40471875 |
transcript.pyannote[223].end |
1092.41721875 |
transcript.pyannote[224].speaker |
SPEAKER_02 |
transcript.pyannote[224].start |
1093.07534375 |
transcript.pyannote[224].end |
1094.99909375 |
transcript.pyannote[225].speaker |
SPEAKER_02 |
transcript.pyannote[225].start |
1095.28596875 |
transcript.pyannote[225].end |
1097.09159375 |
transcript.pyannote[226].speaker |
SPEAKER_02 |
transcript.pyannote[226].start |
1097.98596875 |
transcript.pyannote[226].end |
1099.16721875 |
transcript.pyannote[227].speaker |
SPEAKER_02 |
transcript.pyannote[227].start |
1099.45409375 |
transcript.pyannote[227].end |
1102.37346875 |
transcript.pyannote[228].speaker |
SPEAKER_02 |
transcript.pyannote[228].start |
1103.25096875 |
transcript.pyannote[228].end |
1108.39784375 |
transcript.pyannote[229].speaker |
SPEAKER_02 |
transcript.pyannote[229].start |
1108.88721875 |
transcript.pyannote[229].end |
1109.81534375 |
transcript.pyannote[230].speaker |
SPEAKER_02 |
transcript.pyannote[230].start |
1110.54096875 |
transcript.pyannote[230].end |
1111.92471875 |
transcript.pyannote[231].speaker |
SPEAKER_02 |
transcript.pyannote[231].start |
1112.21159375 |
transcript.pyannote[231].end |
1112.44784375 |
transcript.pyannote[232].speaker |
SPEAKER_02 |
transcript.pyannote[232].start |
1112.88659375 |
transcript.pyannote[232].end |
1117.15596875 |
transcript.pyannote[233].speaker |
SPEAKER_02 |
transcript.pyannote[233].start |
1117.81409375 |
transcript.pyannote[233].end |
1122.48846875 |
transcript.pyannote[234].speaker |
SPEAKER_02 |
transcript.pyannote[234].start |
1123.04534375 |
transcript.pyannote[234].end |
1125.72846875 |
transcript.pyannote[235].speaker |
SPEAKER_02 |
transcript.pyannote[235].start |
1125.76221875 |
transcript.pyannote[235].end |
1127.61846875 |
transcript.pyannote[236].speaker |
SPEAKER_02 |
transcript.pyannote[236].start |
1128.10784375 |
transcript.pyannote[236].end |
1130.75721875 |
transcript.pyannote[237].speaker |
SPEAKER_02 |
transcript.pyannote[237].start |
1131.48284375 |
transcript.pyannote[237].end |
1136.88284375 |
transcript.pyannote[238].speaker |
SPEAKER_01 |
transcript.pyannote[238].start |
1138.57034375 |
transcript.pyannote[238].end |
1139.97096875 |
transcript.pyannote[239].speaker |
SPEAKER_01 |
transcript.pyannote[239].start |
1140.79784375 |
transcript.pyannote[239].end |
1149.08346875 |
transcript.pyannote[240].speaker |
SPEAKER_01 |
transcript.pyannote[240].start |
1149.97784375 |
transcript.pyannote[240].end |
1174.91909375 |
transcript.pyannote[241].speaker |
SPEAKER_01 |
transcript.pyannote[241].start |
1175.20596875 |
transcript.pyannote[241].end |
1212.82034375 |
transcript.pyannote[242].speaker |
SPEAKER_00 |
transcript.pyannote[242].start |
1213.29284375 |
transcript.pyannote[242].end |
1213.93409375 |
transcript.pyannote[243].speaker |
SPEAKER_00 |
transcript.pyannote[243].start |
1214.42346875 |
transcript.pyannote[243].end |
1217.19096875 |
transcript.pyannote[244].speaker |
SPEAKER_00 |
transcript.pyannote[244].start |
1217.98409375 |
transcript.pyannote[244].end |
1219.50284375 |
transcript.pyannote[245].speaker |
SPEAKER_00 |
transcript.pyannote[245].start |
1219.85721875 |
transcript.pyannote[245].end |
1224.34596875 |
transcript.whisperx[0].start |
1.391 |
transcript.whisperx[0].end |
15.409 |
transcript.whisperx[0].text |
謝謝大會主席我們江副院長有請我們大法官被提名人請被提名人答詢好 詹教授五萬 |
transcript.whisperx[1].start |
18.375 |
transcript.whisperx[1].end |
39.595 |
transcript.whisperx[1].text |
恭喜您被提名為我們大法官也感謝您在這個關鍵的時刻願意承擔起首務憲法憲政秩序的一個重責大任今天也很榮幸有這個機會可以在國會殿堂與您一起來探討我們憲政與人權的相關議題 |
transcript.whisperx[2].start |
40.856 |
transcript.whisperx[2].end |
66.447 |
transcript.whisperx[2].text |
那你也是本次我們審查這個名單最後一位的一個大法官被提名人那有沒有信心對於這一次的提名能夠順利過關謝謝委員的鼓勵我盡我所能好那也在此祝福預祝您在這個提名的過程裡面能夠順利過關讓憲法法庭儘早恢復這個正常的運作 |
transcript.whisperx[3].start |
67.644 |
transcript.whisperx[3].end |
96.787 |
transcript.whisperx[3].text |
過去也不乏有優秀的學者轉任我們憲法的守門人的角色對於國家根本的制度發揮有了深遠的影響接下來我想進一步針對您本於大法官的理念及挑戰以及社會所關心的相關議題來和您做一個討論也請詹教授能夠完整的說明您的看法 |
transcript.whisperx[4].start |
97.707 |
transcript.whisperx[4].end |
115.2 |
transcript.whisperx[4].text |
那大法官一任的任期是八年那若您與其他的這個被提名人能夠在這一次的審查過程順利通過的話任期將會到這個2033年那考量到政經情勢的一個變化 |
transcript.whisperx[5].start |
116.307 |
transcript.whisperx[5].end |
127.794 |
transcript.whisperx[5].text |
以及民主政治的發展放眼到八年後的這段期間您認為我們憲法法庭所面臨的最大困難及挑戰會是什麼 |
transcript.whisperx[6].start |
129.448 |
transcript.whisperx[6].end |
149.677 |
transcript.whisperx[6].text |
好謝謝委員的提問這個時程還蠻遠的所以當然世事變遷難以預估不過請容許我以目前我們的政治現況跟委員來做回覆跟報告 |
transcript.whisperx[7].start |
152.15 |
transcript.whisperx[7].end |
174.97 |
transcript.whisperx[7].text |
如果能夠有幸出任大法官我想我立即會去面臨到的困境大概有兩件事情第一個就是在大法官的職權行使上面關於這個限訴法的修正當然未來釋憲的結果如何難以預測 |
transcript.whisperx[8].start |
176.553 |
transcript.whisperx[8].end |
203.588 |
transcript.whisperx[8].text |
但是依照目前的修法狀況他會讓整個大法官一決平易的難度拉高那這個可能是好處是他增加了公信力但是面臨到的困境是其實裡面的共識更難形成這是程序面我初步想到的實體面就是向來 |
transcript.whisperx[9].start |
205.208 |
transcript.whisperx[9].end |
222.129 |
transcript.whisperx[9].text |
申請憲法解釋人權案件高達98%以上不過以目前我們的政治生態憲政機關之間的權力分立的爭議可預期的案件量會大增 |
transcript.whisperx[10].start |
224.455 |
transcript.whisperx[10].end |
251.517 |
transcript.whisperx[10].text |
權力分立的釋憲其實他會面臨到很困難的一個困境這是除非憲法是強制規定否則的話他不免還是擁有一個價值判斷的空間所以我們從憲判9其實已經得到這樣的一個啟發我相信這個也是有未來會去面對的一個困境跟挑戰好那 |
transcript.whisperx[11].start |
252.81 |
transcript.whisperx[11].end |
277.822 |
transcript.whisperx[11].text |
在今年3月的時候我們大法官被提名人介紹的記者會上我們蕭美琴副總統曾表示我們之前賴總統對於被提名人有三個期許第一就是要守護自由民主的憲政制度來捍衛人權、保障及人民權利的一個救濟 |
transcript.whisperx[12].start |
278.803 |
transcript.whisperx[12].end |
295.373 |
transcript.whisperx[12].text |
那第二是要提升我們國安這個案件的專業能量確保國家安全及連任的政治第三是要持續推動司法改革提升審判品質這個效率同時進行司法工作環境的一個減壓 |
transcript.whisperx[13].start |
296.687 |
transcript.whisperx[13].end |
310.94 |
transcript.whisperx[13].text |
那當然其中有涉及司法行政的這個部分是屬於政府院長的全責了那未來若您能順利來擔任大法官您認為應該如何達到以上三個期許 |
transcript.whisperx[14].start |
312.386 |
transcript.whisperx[14].end |
331.052 |
transcript.whisperx[14].text |
好 謝謝委員蕭副總統如何對這次七位被提名的大法官被提名人的定調這個其實當初在程序上我們其實是不清楚這樣子的一個期許 |
transcript.whisperx[15].start |
332.335 |
transcript.whisperx[15].end |
347.982 |
transcript.whisperx[15].text |
但是在這個的前提之下我個人認為第一個期許這本來就是大法官的職責維護自由民主的憲政秩序本來就是作為大法官理應捍衛之事 |
transcript.whisperx[16].start |
349.212 |
transcript.whisperx[16].end |
362.703 |
transcript.whisperx[16].text |
那第二個部分國安這或許是有行政職的部分針對我們一般的司法審判的議題但是回到大法官的關聯性上面稱如 |
transcript.whisperx[17].start |
364.022 |
transcript.whisperx[17].end |
392.013 |
transcript.whisperx[17].text |
剛剛跟其他委員的答覆國安它可以是限制人權的一種公義適用但是它不會是絕對優先的一種理由所以如果未來在行使大法官職權時還是會回到個案裡面去衡量跟斟酌在這裡所涉及到的國安的 |
transcript.whisperx[18].start |
393.237 |
transcript.whisperx[18].end |
409.288 |
transcript.whisperx[18].text |
保護的強度為何所以這個部分我倒不認為國安的能量必然是因為這樣的提名而會有所提升的至於說四大改革這個陳如剛委員所說這可能是比較涉及到 |
transcript.whisperx[19].start |
410.99 |
transcript.whisperx[19].end |
430.79 |
transcript.whisperx[19].text |
司法行政的面向那我也只能說站在大法官的職責我會盡其所能的加速在自己能力範圍內讓案子能夠早一點達到這個裁判的可能性來消化目前正在排隊冗長的這些案件 |
transcript.whisperx[20].start |
433.83 |
transcript.whisperx[20].end |
454.238 |
transcript.whisperx[20].text |
謝謝教授詳細的說明我們也談到對於大法官的期待多半會提到對於人權保障的議題畢竟憲法作為人民基本權益的後盾在面對社會的快速發展之下也必須與時俱進 |
transcript.whisperx[21].start |
456.226 |
transcript.whisperx[21].end |
470.502 |
transcript.whisperx[21].text |
那在您的報告書當中第五頁有提到說您對於憲政核心的一個理念是人性尊嚴的保障與提升並且面對社會急劇的變遷認為人權保障 |
transcript.whisperx[22].start |
474.146 |
transcript.whisperx[22].end |
499.557 |
transcript.whisperx[22].text |
仍然有諸多需要提升的地方那我想了解的是若您擔任大法官在未來的這個任期當中您最關切的這個人性尊嚴人權保障的議題及您認為這個很更不變的這個普世價值會是什麼大法官不僅僅是人權的守護者 |
transcript.whisperx[23].start |
500.623 |
transcript.whisperx[23].end |
507.711 |
transcript.whisperx[23].text |
他同時在職權範圍內也盡可能的能夠作為人權的促進者 |
transcript.whisperx[24].start |
509.259 |
transcript.whisperx[24].end |
534.28 |
transcript.whisperx[24].text |
當然如果有相關的憲法訴訟的案件進來在不違反這個司法被動的原則之下我有機會能夠去這個表述一些人權精進的看法的話我會覺得我們目前有一些像我在口頭報告裡面所表述的像受刑人的 |
transcript.whisperx[25].start |
535.753 |
transcript.whisperx[25].end |
555.482 |
transcript.whisperx[25].text |
這個參政權像剛剛這個陳昭之委員所提到的生育權甚至我們目前因為社會的變遷年輕人買不起房子這種所謂的氏族的這個居住權這個其實在兩公約裡面都有去提到 |
transcript.whisperx[26].start |
557.079 |
transcript.whisperx[26].end |
569.154 |
transcript.whisperx[26].text |
部分他是比較具有前瞻性的但是如果真的有訴訟案件進來的話我也會很樂意在上面去落實這樣比較前瞻性的人權的實現 |
transcript.whisperx[27].start |
570.64 |
transcript.whisperx[27].end |
595.223 |
transcript.whisperx[27].text |
好 那就誠如剛剛教授您所說的不管是在人身自由還是年輕世代氏族居住權的促進等等這方面我也希望說我們未來如果有機會在這個職務上應該要多多來重視保障他們的基本權益那再來我是 |
transcript.whisperx[28].start |
595.868 |
transcript.whisperx[28].end |
621.962 |
transcript.whisperx[28].text |
就針對這次審查過程當中有很多委員都有提及的關於憲法法庭運作能力的相關問題我想還是請教我們被提名人自去年的10月31日七位大法官卸任之後司法院至今對於目前只有八位大法官在任 |
transcript.whisperx[29].start |
623.443 |
transcript.whisperx[29].end |
632.536 |
transcript.whisperx[29].text |
對於這個先前人事案未能順利的通過那使得大法官人數一直都無法湊足也沒辦法補足 |
transcript.whisperx[30].start |
633.1 |
transcript.whisperx[30].end |
661.255 |
transcript.whisperx[30].text |
那同時在去年的12月20號這個國會通過這個限訴法修正案並且於這個今年的1月23日正式實施其中第30條有關憲法判決評議的這個門檻規定做成憲法判決至少要10位大法官參與評議宣告違憲的部分也需要9位以上大法官同意 |
transcript.whisperx[31].start |
662.891 |
transcript.whisperx[31].end |
684.06 |
transcript.whisperx[31].text |
司法院曾在去年的新聞稿當中也提出示警表示此舉將不利憲法審查與效率並且與人民基本的權益保障會有風險事實上自新法實施至今尚無任何的憲法判決的作成 |
transcript.whisperx[32].start |
684.892 |
transcript.whisperx[32].end |
711.887 |
transcript.whisperx[32].text |
那再進一步觀察今年5月12日現任大法官雖然曾就此召開這個說明會但也僅就程序受理的這個要件提出說明並為就新法的這個核限性進行實質的審查現在不僅無法做成判決連是否能夠收案都成了一個非常大的一個問題那在此 |
transcript.whisperx[33].start |
712.97 |
transcript.whisperx[33].end |
741.416 |
transcript.whisperx[33].text |
制度困境之下未來您若擔任大法官要面對的是大法官人數不足卻有憲法疑義需解決的情況之下您認為憲法法庭是否仍然應先行受理案件由現行的這個大法官就受理的要件或程序這個核限性進行審查還是說應該等人數補足之後再來審理那另外 |
transcript.whisperx[34].start |
742.455 |
transcript.whisperx[34].end |
755.051 |
transcript.whisperx[34].text |
或是有其他的制度解釋的空間讓憲法法庭維持最低限度的憲政功能不被癱瘓以上這幾個問題是不是請教授簡單的說明 |
transcript.whisperx[35].start |
759.821 |
transcript.whisperx[35].end |
778.562 |
transcript.whisperx[35].text |
委員的這個問題其實難度蠻高的目前在學界確實有這樣的一個討論就是以目前的八位大法官有沒有可能進入實質審查那這最主要的 |
transcript.whisperx[36].start |
779.795 |
transcript.whisperx[36].end |
801.136 |
transcript.whisperx[36].text |
真點就在於說可不可以用修正前的限速法來作為程序進行的準據如果可以的話那當然這個就解套了我個人本身是比較不持這樣的一個見解即便 |
transcript.whisperx[37].start |
803.203 |
transcript.whisperx[37].end |
828.76 |
transcript.whisperx[37].text |
它將來被我們的憲法法庭宣告為違憲但是它畢竟是一個三讀通過而現行有效的法律所以從這個觀點來講目前憲訴法的三十條的規定似乎我個人的看法用舊法去審空間並不大 |
transcript.whisperx[38].start |
829.898 |
transcript.whisperx[38].end |
858.462 |
transcript.whisperx[38].text |
那有沒有什麼制度上的選擇去解套以我目前有限的知識確實很難想到有什麼比較理想的方案那當然最理想方案當然就是說我們趕快讓這個低於10位以下的組成能夠把他母數補足讓他盡早的回復應有的憲政功能這也是我們期待的 |
transcript.whisperx[39].start |
859.397 |
transcript.whisperx[39].end |
872.641 |
transcript.whisperx[39].text |
那再來我想請教這個被提名人有可能在未來任期內直接面對的一個重要的憲政問題也就是中央政府總預算這個大幅的刪減與凍結所引發的憲法爭議 |
transcript.whisperx[40].start |
875.902 |
transcript.whisperx[40].end |
890.636 |
transcript.whisperx[40].text |
那根據這個釋字第391號解釋大法官雖然肯認立法院在審查預算時有調整與刪減的這個權限但也特別提及不得比照這個法律案 |
transcript.whisperx[41].start |
891.477 |
transcript.whisperx[41].end |
917.194 |
transcript.whisperx[41].text |
逐條修正並應尊重行政機關整體編列的邏輯與功能那我想國會的這個刪減不應該侵害其他憲法所賦予的行政機關整體編列的核心職權及它的基本運作的能力因此我想請教教授您認為 |
transcript.whisperx[42].start |
918.695 |
transcript.whisperx[42].end |
945.924 |
transcript.whisperx[42].text |
針對特定機關的業務費集中刪減若使得該機關難以履行其憲法職責是否有可能違反憲法上的權利分立原則我們憲法當中對於預算提出權跟預算審議權它的框架規範其實是相當薄弱的 |
transcript.whisperx[43].start |
946.806 |
transcript.whisperx[43].end |
967.155 |
transcript.whisperx[43].text |
但如果按照剛剛委員您所提出的假設命題如果他成就的話也就是說預算的三減足以癱瘓一個憲法機關他的法定職權的行使 |
transcript.whisperx[44].start |
968.066 |
transcript.whisperx[44].end |
987.504 |
transcript.whisperx[44].text |
在這個情況之下就有可能逾越憲法當中的權力分立及機關忠誠的原則至於說有沒有達到實質癱瘓或者是形同虛設這樣的一個情境那可能還是要看具體三檢的狀況而定 |
transcript.whisperx[45].start |
990.837 |
transcript.whisperx[45].end |
1013.748 |
transcript.whisperx[45].text |
我們也看到監察院已經在3月份申請釋憲行政院也在5月份對於總預算也申請釋憲但由於大法官人數未達評議門檻,尚未實質的來審查但如果總預算案被宣告違憲,接下來如何補救也會是一個非常大的問題 |
transcript.whisperx[46].start |
1015.711 |
transcript.whisperx[46].end |
1038.848 |
transcript.whisperx[46].text |
依照比例原則通案來分析,您認為有沒有具體的判斷三檢是否逾越必要程度的標準或界限而基於各機關憲法職權的尊重我們應該如何與立法院預算審查的職權之間能夠取得一個平衡點 |
transcript.whisperx[47].start |
1040.609 |
transcript.whisperx[47].end |
1069.965 |
transcript.whisperx[47].text |
好 謝謝委員因為案子細數我大概就只針對我自己的想法做一般性的回應預算審議權不代表沒有界限成了我剛剛跟委員報告的那目前不管根據大法官的解釋意旨也好或者是相關的學說的見解也好比較穩定的是 |
transcript.whisperx[48].start |
1070.666 |
transcript.whisperx[48].end |
1096.301 |
transcript.whisperx[48].text |
法定經費這個部分是不能刪的也就是說例如說像維持一個機關常態運行的公務人員的人事費這個部分是沒有刪除的空間再來我們大法官在釋字601號涉及到那個時候大法官的司法專業家籍 |
transcript.whisperx[49].start |
1098.018 |
transcript.whisperx[49].end |
1116.693 |
transcript.whisperx[49].text |
被立法院以預算案的方式去刪除那在601號的解釋裡面我們大法官認為這不僅僅是一個這並不是一個立法院可以刪減預算的裁量權 |
transcript.whisperx[50].start |
1117.847 |
transcript.whisperx[50].end |
1139.394 |
transcript.whisperx[50].text |
他50更是憲法80條81條的一個法定憲法上的必要的支付項目那如果今天碰到這個底線大概會比較清晰的他會涉及到在這裡會有危險之餘好那 |
transcript.whisperx[51].start |
1141.151 |
transcript.whisperx[51].end |
1156.526 |
transcript.whisperx[51].text |
時間因素,在此我也謝謝我們被提名的詹教授今天非常詳細的一個回答上面的這些問題那您的這個理念跟看法我們都非常的明白 |
transcript.whisperx[52].start |
1157.045 |
transcript.whisperx[52].end |
1164.976 |
transcript.whisperx[52].text |
那大法官不但是我們憲政秩序跟民主制度的一個守護者那因本於這個獨立專業與良知來審理這個憲法相關的訴訟案件並做成這個裁判 |
transcript.whisperx[53].start |
1171.243 |
transcript.whisperx[53].end |
1190.123 |
transcript.whisperx[53].text |
那也是保障我們人民基本權益最堅強的一個後盾那您在憲法上的觀點價值上的判斷都會直接影響到台灣未來的一個在自由、平等與法治上的一個走向那我由衷期待停擺多時的這個憲法法庭能夠盡速的恢復正常的運作 |
transcript.whisperx[54].start |
1190.863 |
transcript.whisperx[54].end |
1216.986 |
transcript.whisperx[54].text |
朝野能夠秉持專業審查的態度來行使同意權更希望能夠透過今天國會的對話能夠讓社會大眾了解您對於憲法的理解以及作為大法官所具備的私人性那謝謝我們今天大法官被提名的詹教授也祝您一切順利謝謝委員謝謝詹委員謝謝被提名人 |
transcript.whisperx[55].start |
1218.234 |
transcript.whisperx[55].end |
1221.625 |
transcript.whisperx[55].text |
報告全院委員會休息10分鐘休息之後繼續進行詢問現在休息 |