video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/29fe42b2a7280ca72fedb2eedc00955d36e3fd37d751600aab3a31addf1a0ed30ecafa458f489ced5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
吳思瑤 |
委員發言時間 |
09:35:12 - 09:55:36 |
影片長度 |
1224 |
會議時間 |
2024-12-10T09:00:00+08:00 |
會議名稱 |
第11屆第2會期第2次全院委員會(事由:總統咨,茲依據中華民國憲法增修條文第5條規定,提名張文貞、姚立明、何賴傑、陳運財、王碧芳、廖福特、劉靜怡7位為司法院大法官,並以張文貞為院長、姚立明為副院長,咨請同意案。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
8.41784375 |
transcript.pyannote[0].end |
9.71721875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
10.13909375 |
transcript.pyannote[1].end |
10.15596875 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
10.15596875 |
transcript.pyannote[2].end |
10.64534375 |
transcript.pyannote[3].speaker |
SPEAKER_01 |
transcript.pyannote[3].start |
10.88159375 |
transcript.pyannote[3].end |
13.41284375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
13.90221875 |
transcript.pyannote[4].end |
16.53471875 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
16.95659375 |
transcript.pyannote[5].end |
18.61034375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
19.31909375 |
transcript.pyannote[6].end |
22.47471875 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
22.79534375 |
transcript.pyannote[7].end |
24.29721875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
25.15784375 |
transcript.pyannote[8].end |
28.51596875 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
29.02221875 |
transcript.pyannote[9].end |
32.19471875 |
transcript.pyannote[10].speaker |
SPEAKER_01 |
transcript.pyannote[10].start |
32.56596875 |
transcript.pyannote[10].end |
36.53159375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
37.07159375 |
transcript.pyannote[11].end |
42.55596875 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
43.14659375 |
transcript.pyannote[12].end |
45.93096875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
46.03221875 |
transcript.pyannote[13].end |
50.30159375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
50.77409375 |
transcript.pyannote[14].end |
53.77784375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
53.96346875 |
transcript.pyannote[15].end |
61.21971875 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
61.59096875 |
transcript.pyannote[16].end |
62.21534375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
62.72159375 |
transcript.pyannote[17].end |
64.64534375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
65.67471875 |
transcript.pyannote[18].end |
68.25659375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
68.69534375 |
transcript.pyannote[19].end |
78.43221875 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
78.93846875 |
transcript.pyannote[20].end |
81.01409375 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
81.16596875 |
transcript.pyannote[21].end |
88.01721875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
88.35471875 |
transcript.pyannote[22].end |
95.00346875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
95.52659375 |
transcript.pyannote[23].end |
96.84284375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
97.26471875 |
transcript.pyannote[24].end |
99.71159375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
100.23471875 |
transcript.pyannote[25].end |
102.52971875 |
transcript.pyannote[26].speaker |
SPEAKER_01 |
transcript.pyannote[26].start |
103.42409375 |
transcript.pyannote[26].end |
104.90909375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
105.85409375 |
transcript.pyannote[27].end |
108.72284375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
109.48221875 |
transcript.pyannote[28].end |
123.26909375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
123.75846875 |
transcript.pyannote[29].end |
124.31534375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
124.83846875 |
transcript.pyannote[30].end |
131.03159375 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
131.50409375 |
transcript.pyannote[31].end |
137.96721875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
138.47346875 |
transcript.pyannote[32].end |
140.00909375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
140.39721875 |
transcript.pyannote[33].end |
147.23159375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
147.48471875 |
transcript.pyannote[34].end |
152.46284375 |
transcript.pyannote[35].speaker |
SPEAKER_01 |
transcript.pyannote[35].start |
153.01971875 |
transcript.pyannote[35].end |
154.65659375 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
155.17971875 |
transcript.pyannote[36].end |
156.34409375 |
transcript.pyannote[37].speaker |
SPEAKER_01 |
transcript.pyannote[37].start |
156.56346875 |
transcript.pyannote[37].end |
158.84159375 |
transcript.pyannote[38].speaker |
SPEAKER_01 |
transcript.pyannote[38].start |
159.21284375 |
transcript.pyannote[38].end |
163.16159375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
163.81971875 |
transcript.pyannote[39].end |
165.64221875 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
166.40159375 |
transcript.pyannote[40].end |
167.59971875 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
167.93721875 |
transcript.pyannote[41].end |
171.39659375 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
171.78471875 |
transcript.pyannote[42].end |
178.50096875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
178.65284375 |
transcript.pyannote[43].end |
179.53034375 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
179.96909375 |
transcript.pyannote[44].end |
182.92221875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
183.51284375 |
transcript.pyannote[45].end |
185.21721875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
186.80346875 |
transcript.pyannote[46].end |
191.15721875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
191.69721875 |
transcript.pyannote[47].end |
192.96284375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
193.14846875 |
transcript.pyannote[48].end |
197.92409375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
198.19409375 |
transcript.pyannote[49].end |
199.51034375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
199.76346875 |
transcript.pyannote[50].end |
203.69534375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
203.96534375 |
transcript.pyannote[51].end |
208.13346875 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
208.25159375 |
transcript.pyannote[52].end |
211.72784375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
210.59721875 |
transcript.pyannote[53].end |
210.78284375 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
211.72784375 |
transcript.pyannote[54].end |
211.79534375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
211.79534375 |
transcript.pyannote[55].end |
211.82909375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
212.03159375 |
transcript.pyannote[56].end |
212.09909375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
212.09909375 |
transcript.pyannote[57].end |
212.14971875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
212.14971875 |
transcript.pyannote[58].end |
216.26721875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
216.45284375 |
transcript.pyannote[59].end |
220.36784375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
220.62096875 |
transcript.pyannote[60].end |
235.63971875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
236.31471875 |
transcript.pyannote[61].end |
261.74534375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
262.25159375 |
transcript.pyannote[62].end |
268.51221875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
269.13659375 |
transcript.pyannote[63].end |
269.15346875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
269.15346875 |
transcript.pyannote[64].end |
269.52471875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
269.25471875 |
transcript.pyannote[65].end |
269.38971875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
269.52471875 |
transcript.pyannote[66].end |
269.79471875 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
269.79471875 |
transcript.pyannote[67].end |
284.61096875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
284.64471875 |
transcript.pyannote[68].end |
288.30659375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
288.62721875 |
transcript.pyannote[69].end |
291.42846875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
291.79971875 |
transcript.pyannote[70].end |
293.52096875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
293.99346875 |
transcript.pyannote[71].end |
297.48659375 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
298.56659375 |
transcript.pyannote[72].end |
304.33784375 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
304.84409375 |
transcript.pyannote[73].end |
353.84909375 |
transcript.pyannote[74].speaker |
SPEAKER_01 |
transcript.pyannote[74].start |
354.25409375 |
transcript.pyannote[74].end |
355.23284375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
355.70534375 |
transcript.pyannote[75].end |
365.45909375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
366.04971875 |
transcript.pyannote[76].end |
371.41596875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
372.32721875 |
transcript.pyannote[77].end |
390.67034375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
390.83909375 |
transcript.pyannote[78].end |
401.09909375 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
401.21721875 |
transcript.pyannote[79].end |
402.22971875 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
402.22971875 |
transcript.pyannote[80].end |
402.28034375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
402.28034375 |
transcript.pyannote[81].end |
402.29721875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
402.29721875 |
transcript.pyannote[82].end |
402.31409375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
402.51659375 |
transcript.pyannote[83].end |
402.97221875 |
transcript.pyannote[84].speaker |
SPEAKER_01 |
transcript.pyannote[84].start |
402.97221875 |
transcript.pyannote[84].end |
405.11534375 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
405.50346875 |
transcript.pyannote[85].end |
410.83596875 |
transcript.pyannote[86].speaker |
SPEAKER_01 |
transcript.pyannote[86].start |
411.51096875 |
transcript.pyannote[86].end |
415.02096875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
415.59471875 |
transcript.pyannote[87].end |
418.42971875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
418.54784375 |
transcript.pyannote[88].end |
420.96096875 |
transcript.pyannote[89].speaker |
SPEAKER_01 |
transcript.pyannote[89].start |
421.80471875 |
transcript.pyannote[89].end |
422.85096875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
423.10409375 |
transcript.pyannote[90].end |
431.40659375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
432.08159375 |
transcript.pyannote[91].end |
434.10659375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
434.56221875 |
transcript.pyannote[92].end |
440.14784375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
440.43471875 |
transcript.pyannote[93].end |
444.58596875 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
445.26096875 |
transcript.pyannote[94].end |
447.55596875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
447.99471875 |
transcript.pyannote[95].end |
448.85534375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
449.32784375 |
transcript.pyannote[96].end |
451.09971875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
451.48784375 |
transcript.pyannote[97].end |
464.21159375 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
464.80221875 |
transcript.pyannote[98].end |
469.10534375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
469.25721875 |
transcript.pyannote[99].end |
473.20596875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
473.91471875 |
transcript.pyannote[100].end |
481.67721875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
482.57159375 |
transcript.pyannote[101].end |
483.66846875 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
484.17471875 |
transcript.pyannote[102].end |
485.96346875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
486.19971875 |
transcript.pyannote[103].end |
487.98846875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
488.46096875 |
transcript.pyannote[104].end |
490.80659375 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
491.43096875 |
transcript.pyannote[105].end |
493.91159375 |
transcript.pyannote[106].speaker |
SPEAKER_01 |
transcript.pyannote[106].start |
494.16471875 |
transcript.pyannote[106].end |
496.03784375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
496.03784375 |
transcript.pyannote[107].end |
496.15596875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
497.05034375 |
transcript.pyannote[108].end |
545.97096875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
545.97096875 |
transcript.pyannote[109].end |
551.75909375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
547.00034375 |
transcript.pyannote[110].end |
547.23659375 |
transcript.pyannote[111].speaker |
SPEAKER_01 |
transcript.pyannote[111].start |
552.36659375 |
transcript.pyannote[111].end |
554.27346875 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
554.88096875 |
transcript.pyannote[112].end |
566.49096875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
567.23346875 |
transcript.pyannote[113].end |
569.35971875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
569.86596875 |
transcript.pyannote[114].end |
574.92846875 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
575.55284375 |
transcript.pyannote[115].end |
581.66159375 |
transcript.pyannote[116].speaker |
SPEAKER_01 |
transcript.pyannote[116].start |
582.13409375 |
transcript.pyannote[116].end |
588.15846875 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
588.88409375 |
transcript.pyannote[117].end |
589.42409375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
589.76159375 |
transcript.pyannote[118].end |
592.34346875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
592.81596875 |
transcript.pyannote[119].end |
596.15721875 |
transcript.pyannote[120].speaker |
SPEAKER_01 |
transcript.pyannote[120].start |
597.15284375 |
transcript.pyannote[120].end |
597.84471875 |
transcript.pyannote[121].speaker |
SPEAKER_01 |
transcript.pyannote[121].start |
598.65471875 |
transcript.pyannote[121].end |
599.51534375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
600.30846875 |
transcript.pyannote[122].end |
601.47284375 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
602.19846875 |
transcript.pyannote[123].end |
604.35846875 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
604.62846875 |
transcript.pyannote[124].end |
607.14284375 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
607.64909375 |
transcript.pyannote[125].end |
608.17221875 |
transcript.pyannote[126].speaker |
SPEAKER_01 |
transcript.pyannote[126].start |
609.28596875 |
transcript.pyannote[126].end |
611.53034375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
612.05346875 |
transcript.pyannote[127].end |
614.63534375 |
transcript.pyannote[128].speaker |
SPEAKER_01 |
transcript.pyannote[128].start |
615.10784375 |
transcript.pyannote[128].end |
616.74471875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
616.76159375 |
transcript.pyannote[129].end |
619.90034375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
620.92971875 |
transcript.pyannote[130].end |
630.91971875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
631.76346875 |
transcript.pyannote[131].end |
638.14221875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
638.58096875 |
transcript.pyannote[132].end |
640.18409375 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
640.31909375 |
transcript.pyannote[133].end |
640.96034375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
641.73659375 |
transcript.pyannote[134].end |
644.58846875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
644.90909375 |
transcript.pyannote[135].end |
677.98409375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
678.49034375 |
transcript.pyannote[136].end |
679.99221875 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
680.43096875 |
transcript.pyannote[137].end |
694.40346875 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
694.72409375 |
transcript.pyannote[138].end |
707.12721875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
707.38034375 |
transcript.pyannote[139].end |
711.68346875 |
transcript.pyannote[140].speaker |
SPEAKER_01 |
transcript.pyannote[140].start |
712.30784375 |
transcript.pyannote[140].end |
741.21471875 |
transcript.pyannote[141].speaker |
SPEAKER_01 |
transcript.pyannote[141].start |
741.73784375 |
transcript.pyannote[141].end |
742.51409375 |
transcript.pyannote[142].speaker |
SPEAKER_01 |
transcript.pyannote[142].start |
742.83471875 |
transcript.pyannote[142].end |
746.14221875 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
746.59784375 |
transcript.pyannote[143].end |
761.53221875 |
transcript.pyannote[144].speaker |
SPEAKER_01 |
transcript.pyannote[144].start |
762.15659375 |
transcript.pyannote[144].end |
762.84846875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
763.33784375 |
transcript.pyannote[145].end |
778.03596875 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
778.66034375 |
transcript.pyannote[146].end |
778.96409375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
779.77409375 |
transcript.pyannote[147].end |
782.74409375 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
783.11534375 |
transcript.pyannote[148].end |
783.94221875 |
transcript.pyannote[149].speaker |
SPEAKER_01 |
transcript.pyannote[149].start |
783.94221875 |
transcript.pyannote[149].end |
784.02659375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
784.02659375 |
transcript.pyannote[150].end |
818.97471875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
811.98846875 |
transcript.pyannote[151].end |
812.49471875 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
814.89096875 |
transcript.pyannote[152].end |
815.29596875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
817.16909375 |
transcript.pyannote[153].end |
818.09721875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
818.97471875 |
transcript.pyannote[154].end |
825.15096875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
825.42096875 |
transcript.pyannote[155].end |
831.71534375 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
832.54221875 |
transcript.pyannote[156].end |
838.33034375 |
transcript.pyannote[157].speaker |
SPEAKER_01 |
transcript.pyannote[157].start |
838.71846875 |
transcript.pyannote[157].end |
857.02784375 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
857.41596875 |
transcript.pyannote[158].end |
862.15784375 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
862.73159375 |
transcript.pyannote[159].end |
867.54096875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
867.77721875 |
transcript.pyannote[160].end |
881.71596875 |
transcript.pyannote[161].speaker |
SPEAKER_01 |
transcript.pyannote[161].start |
882.47534375 |
transcript.pyannote[161].end |
884.87159375 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
886.37346875 |
transcript.pyannote[162].end |
888.71909375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
888.90471875 |
transcript.pyannote[163].end |
891.73971875 |
transcript.pyannote[164].speaker |
SPEAKER_01 |
transcript.pyannote[164].start |
892.12784375 |
transcript.pyannote[164].end |
896.22846875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
896.43096875 |
transcript.pyannote[165].end |
909.05346875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
909.47534375 |
transcript.pyannote[166].end |
913.28909375 |
transcript.pyannote[167].speaker |
SPEAKER_01 |
transcript.pyannote[167].start |
914.38596875 |
transcript.pyannote[167].end |
916.36034375 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
916.78221875 |
transcript.pyannote[168].end |
921.50721875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
922.14846875 |
transcript.pyannote[169].end |
928.61159375 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
929.32034375 |
transcript.pyannote[170].end |
937.52159375 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
937.77471875 |
transcript.pyannote[171].end |
938.88846875 |
transcript.pyannote[172].speaker |
SPEAKER_01 |
transcript.pyannote[172].start |
939.19221875 |
transcript.pyannote[172].end |
945.19971875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
945.84096875 |
transcript.pyannote[173].end |
976.68846875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
977.58284375 |
transcript.pyannote[174].end |
979.52346875 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
979.70909375 |
transcript.pyannote[175].end |
982.78034375 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
983.40471875 |
transcript.pyannote[176].end |
1015.33221875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
1016.42909375 |
transcript.pyannote[177].end |
1021.99784375 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
1022.48721875 |
transcript.pyannote[178].end |
1027.33034375 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
1027.78596875 |
transcript.pyannote[179].end |
1048.23846875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
1048.54221875 |
transcript.pyannote[180].end |
1050.97221875 |
transcript.pyannote[181].speaker |
SPEAKER_01 |
transcript.pyannote[181].start |
1050.97221875 |
transcript.pyannote[181].end |
1051.44471875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
1051.52909375 |
transcript.pyannote[182].end |
1053.08159375 |
transcript.pyannote[183].speaker |
SPEAKER_01 |
transcript.pyannote[183].start |
1053.45284375 |
transcript.pyannote[183].end |
1114.91159375 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
1115.40096875 |
transcript.pyannote[184].end |
1127.97284375 |
transcript.pyannote[185].speaker |
SPEAKER_01 |
transcript.pyannote[185].start |
1127.97284375 |
transcript.pyannote[185].end |
1128.47909375 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
1129.28909375 |
transcript.pyannote[186].end |
1142.92409375 |
transcript.pyannote[187].speaker |
SPEAKER_01 |
transcript.pyannote[187].start |
1143.27846875 |
transcript.pyannote[187].end |
1162.44846875 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
1162.88721875 |
transcript.pyannote[188].end |
1163.51159375 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
1163.84909375 |
transcript.pyannote[189].end |
1166.53221875 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
1166.66721875 |
transcript.pyannote[190].end |
1188.01409375 |
transcript.pyannote[191].speaker |
SPEAKER_01 |
transcript.pyannote[191].start |
1188.26721875 |
transcript.pyannote[191].end |
1195.70909375 |
transcript.pyannote[192].speaker |
SPEAKER_00 |
transcript.pyannote[192].start |
1196.36721875 |
transcript.pyannote[192].end |
1210.67721875 |
transcript.pyannote[193].speaker |
SPEAKER_01 |
transcript.pyannote[193].start |
1222.92846875 |
transcript.pyannote[193].end |
1222.96221875 |
transcript.pyannote[194].speaker |
SPEAKER_00 |
transcript.pyannote[194].start |
1223.75534375 |
transcript.pyannote[194].end |
1223.97471875 |
transcript.pyannote[195].speaker |
SPEAKER_01 |
transcript.pyannote[195].start |
1223.97471875 |
transcript.pyannote[195].end |
1224.22784375 |
transcript.whisperx[0].start |
8.747 |
transcript.whisperx[0].end |
23.374 |
transcript.whisperx[0].text |
老師,您好。我觀察了您剛剛的備詢。我覺得不備不抗,非常好。我們持理而行。公威若是有道理,我們就不用大聲,我們理性來對話。 |
transcript.whisperx[1].start |
25.199 |
transcript.whisperx[1].end |
42.28 |
transcript.whisperx[1].text |
我今天準備對您的這個質詢裡頭我想到了迪根斯雙城記所說的這是個最壞的時代但這也是一個最好的時代這是一個最黑暗的時代但同時它也是一個最光明的時代 |
transcript.whisperx[2].start |
43.388 |
transcript.whisperx[2].end |
64.469 |
transcript.whisperx[2].text |
這是一個充滿愚蠢的時代但同時它也是一個讓我們能夠彰顯智慧的時代所以面對司法的諸多新挑戰我想危機就是轉機您接受總統的提名我想您也是這樣的正向的一個無比強大的勇氣下一頁 |
transcript.whisperx[3].start |
65.954 |
transcript.whisperx[3].end |
94.703 |
transcript.whisperx[3].text |
我今天要跟您對話我翻出了我很喜歡看的一個法律專業的自媒體法操他們常常會針對一些司法的金句來做分享所以我跟您分享的第一個金句呢是1993年克林頓總統提名的Ruth Kingsborough我想您應當也認識也熟知她她是美國首位的猶太籍的大法官是美國第二位女性大法官 |
transcript.whisperx[4].start |
95.583 |
transcript.whisperx[4].end |
124.073 |
transcript.whisperx[4].text |
他說的這句話﹖若人民沒有對自由的渴望﹖不論一部憲法有多好都沒有意義﹖所以這個liberty跟freedom的重要自由的權利是追求而來的同樣的憲法就是來捍衛守護自由的權利而所有的人民都有這樣的責任跟義務來遵守憲法下一頁 |
transcript.whisperx[5].start |
124.913 |
transcript.whisperx[5].end |
152.172 |
transcript.whisperx[5].text |
所以今天您剛剛在報告的時候也提到和其榮幸在國際人權日的76週年而且在台灣這個美麗的島嶼上美麗島事件這個讓我們到至今都還非常的緬懷我們反對威權45週年的美麗島事件的今天剛好是您在這裡站上 |
transcript.whisperx[6].start |
153.753 |
transcript.whisperx[6].end |
165.492 |
transcript.whisperx[6].text |
的第一天所以我也想最近韓國的戒嚴議題也給台灣很大很大的反省但是民主不走回頭路 |
transcript.whisperx[7].start |
166.428 |
transcript.whisperx[7].end |
185.003 |
transcript.whisperx[7].text |
我們不可能有回到或恢復戒嚴的那一天所以您是作為司法院未來渴望領導司法院的您能不能也用一句金句一句話來宣示您未來領導的司法院對於自由人權的保障 |
transcript.whisperx[8].start |
187.16 |
transcript.whisperx[8].end |
207.865 |
transcript.whisperx[8].text |
謝謝委員就像我剛剛在一開始講的這個捍衛民主、人權、法治是我領導司法院以及所有的法官及基層司法人員最重要的一個任務那這個使命是我們花了非常多的時間才建立起來那我們只會迎向未來跟全球司法共同合作 |
transcript.whisperx[9].start |
208.405 |
transcript.whisperx[9].end |
235.119 |
transcript.whisperx[9].text |
那來打造這個非常堅實的基礎你講得非常好我們也要跟全球合作一起來捍衛所有人類的自由人權非常好那我要跟您分享另外一個金句這個是拜登總統2022年提名的這個Jackson我想大家更熟知他了他是美國首位非裔的女性大法官 |
transcript.whisperx[10].start |
236.36 |
transcript.whisperx[10].end |
261.513 |
transcript.whisperx[10].text |
他的這句名言是我站在幾代美國人的肩膀上他們從未有過這樣的機會美國是個民族的大熔爐但是他同時也有非常嚴重的種族歧視所以Jackson能夠以一個非裔的女性的擔任到大法官的職位這彰顯的意義非常的重要下一頁 |
transcript.whisperx[11].start |
262.473 |
transcript.whisperx[11].end |
268.122 |
transcript.whisperx[11].text |
剛好最近有一部日劇我不知道你有沒有看啊女法官大人你在點頭你有看嗎 |
transcript.whisperx[12].start |
269.215 |
transcript.whisperx[12].end |
297.195 |
transcript.whisperx[12].text |
有機會稍微看一下是他講的是日本最早的一位女律師同時也是日本首位女法官我覺得台灣如果能夠讓張院長順利的通過立法院的審查成為台灣第一位女性司法院長更是亞洲的第一位我認為非常的有意義下一頁所以我要就教於您女性法官的人數跟占比逐年提升 |
transcript.whisperx[13].start |
298.616 |
transcript.whisperx[13].end |
319.23 |
transcript.whisperx[13].text |
到2023年女法官的人數在臺灣達到52.3%右邊的表格告訴我們是各級法院平均數也是5乘3但是最高行政法院最高66.7%相較於其他各級法院的女性法官的補強 |
transcript.whisperx[14].start |
320.271 |
transcript.whisperx[14].end |
344.841 |
transcript.whisperx[14].text |
我想這個您未來要去強化就如同徐宗立前院長說的一個制度設計跟資源分配往往支撐了權力對等或不對等我對您懷抱非常高的期待下一頁如果台灣的立法院能夠完成大法官的人事同意權我們的憲法法庭更可能達到 |
transcript.whisperx[15].start |
346.121 |
transcript.whisperx[15].end |
371.116 |
transcript.whisperx[15].text |
男性女性女性7位男性8位讓我們司法領域的性別主流化更進一步所以我要請您也以一句話來宣示您擔任未來渴望領導的司法院對於性別的平等性別主流化來排斥就是來力阻一切的歧視您要怎麼做 |
transcript.whisperx[16].start |
372.629 |
transcript.whisperx[16].end |
387.536 |
transcript.whisperx[16].text |
謝謝委員我想這個是非常重要的就是全球的法院在過去的這幾年當中其實整個性別平等的趨勢以及多元的代表跟組成那也已經成為主流所以我們當然很期待這個台灣也能夠跟上這樣的腳步 |
transcript.whisperx[17].start |
390.916 |
transcript.whisperx[17].end |
392.517 |
transcript.whisperx[17].text |
所以也給你無限的祝福希望台灣真的能夠誕生亞洲第一位女性的司法院院長 |
transcript.whisperx[18].start |
411.59 |
transcript.whisperx[18].end |
431.085 |
transcript.whisperx[18].text |
下面的一句金句呢我要跟您告解一下今天在準備跟您的這個對話我其實陷入了相當的煎熬因為我想部分的議題會涉及政治的觀點每一個人都會有政治的觀點台灣就是一個民主自由多元包容的國家 |
transcript.whisperx[19].start |
432.148 |
transcript.whisperx[19].end |
444.273 |
transcript.whisperx[19].text |
但是我也擔心我對您提出了一些對於部分的法案的立場可能會反而成為您被在野立委跟您意見不同的人攻擊的理由 |
transcript.whisperx[20].start |
445.265 |
transcript.whisperx[20].end |
473.182 |
transcript.whisperx[20].text |
但是呢我分享的這一句這個卡根歐巴馬總統提名的他是美國第4位女性大法官也是歐巴馬政府的司法院院長更是哈佛法學院第一位女性的院長他的這句話我覺得太重要了My politics would be, must be, have to be, completely separate from my judgment. |
transcript.whisperx[21].start |
473.956 |
transcript.whisperx[21].end |
495.446 |
transcript.whisperx[21].text |
也就是說我即便有我的政治觀點但是我同樣也有足夠的專業、理性、判斷力來行使我的大法官的職務所以我個人的政治立場跟我的專業法律的職務的行使並不衝突您應當非常認同 |
transcript.whisperx[22].start |
497.743 |
transcript.whisperx[22].end |
516.424 |
transcript.whisperx[22].text |
謝謝委員給我這個機會說明我非常認同事實上作為一個學者我在許許多多的議題上都有非常清楚完整的意見國內也是國外也是正是因為如此作為司法院院長的大法官被提名人我有責任義務捍衛我們司法的判決 |
transcript.whisperx[23].start |
517.205 |
transcript.whisperx[23].end |
543.598 |
transcript.whisperx[23].text |
那也正是因為這樣子在我給各黨團的回覆意見上事實上就憲法、人權公約我都寫得非常的清楚但是當我要對憲法法庭的判決做我的立場的時候尤其我作為一個司法院院長以及將來憲法法庭審判長的大法官被提名人事實上我相信美國聯邦最高法院也好德國憲法法院也好每一個站在我這樣的職位的被提名人他的答案都是一樣的 |
transcript.whisperx[24].start |
544.278 |
transcript.whisperx[24].end |
566.198 |
transcript.whisperx[24].text |
因為我必須要遵守憲法法庭的判決沒有錯,您講得非常好夏業這就是我要跟您分享的我立法委員也是一樣無分司法立法都要克尊憲法也無分司法立法我們念茲在茲的就是人權就是自由就是民主 |
transcript.whisperx[25].start |
567.321 |
transcript.whisperx[25].end |
595.375 |
transcript.whisperx[25].text |
所以說剛剛前一位委員對於您過去的在哪一篇文章裡頭或是在哪個場合曾經說過哪一句話來挑戰您今天擔任這個職務是格與否我認為他劃錯重點所以剛剛這個卡根大法官的這句話我應該好好分享給黃國昌委員好但是呢我們要進入深水區了未來司法院的新挑戰有什麼呢來 |
transcript.whisperx[26].start |
597.359 |
transcript.whisperx[26].end |
619.551 |
transcript.whisperx[26].text |
預算案、人事案、憲法訴訟法、司法改革的未竟之業。Plus one,還有一件事是什麼呢?就是可能一個,這是我的形容詞,一個違憲上癮的立法院。所以讓我們要疲於違憲的司法院。 |
transcript.whisperx[27].start |
621.193 |
transcript.whisperx[27].end |
623.916 |
transcript.whisperx[27].text |
所以說我一個一個方面跟您論述第一個 您的挑戰是預算案 |
transcript.whisperx[28].start |
648.096 |
transcript.whisperx[28].end |
670.495 |
transcript.whisperx[28].text |
剛剛您的報告裡頭提出臺灣的司法預算只佔國民政府總預算大概只有1%而且人均的司法支出只有1164萬幾乎是歐洲進步國家的中位數還不到二分之一而已所以我們的司法預算已經這麼少了我們更要全力來守護我更要說司法預算是獨立的 |
transcript.whisperx[29].start |
671.616 |
transcript.whisperx[29].end |
686.65 |
transcript.whisperx[29].text |
所以我整理出這三年來立法院審查司法預算的結果比較其實過去幾年的立法院是非常尊重司法預算的獨立凍結數只有1296萬佔0.33減劣數只減了70.6萬比例是0.018% |
transcript.whisperx[30].start |
697.66 |
transcript.whisperx[30].end |
711.38 |
transcript.whisperx[30].text |
總體因為各部會都有一個統刪因為統刪的部分所以讓整個預算刪減達到一億兩千萬左右3.06%但是這都告訴我們立法委員下一頁 |
transcript.whisperx[31].start |
712.501 |
transcript.whisperx[31].end |
740.92 |
transcript.whisperx[31].text |
對於司法預算的獨立:他包括有憲法增修條文第5條的規範對不對司法院所提的司法概算行政院是不得刪減的喔行政院都要尊重司法院編列的預算行政院不得刪減只能夠加註意見然後送立院審議同樣的預算法93條也做了這個對於司法預算獨立編列的再次的聲明 |
transcript.whisperx[32].start |
741.801 |
transcript.whisperx[32].end |
760.905 |
transcript.whisperx[32].text |
表明當然還有大法官誓字613號就是所有的憲法機關例如立法院在行使權力的制衡的時候也有其界限不能任意的去侵犯其他憲法機關權力核心的領域比如說不能夠透過預算 |
transcript.whisperx[33].start |
763.346 |
transcript.whisperx[33].end |
781.967 |
transcript.whisperx[33].text |
的過當的強悍或是人事案的過度去左右而破壞了責任政治所以我要請求您捍衛司法預算我們有憲法的保護傘您了解您會用這樣的立場來捍衛 |
transcript.whisperx[34].start |
783.154 |
transcript.whisperx[34].end |
790.159 |
transcript.whisperx[34].text |
謝謝 謝謝委員我想這是我責無旁貸的任務事實上臺灣司法效能的不彰會影響到我們整體的經濟跟未來的發展我們許多產業的這個相關的司法徵送不能夠加速有效的進行那這會使得很多的產業遇到相關的司法的問題的時候採取其他的方式那甚至有很多影響我國產業的法律問題必須要移到其他國家去那這個是我們所不樂見的 |
transcript.whisperx[35].start |
811.974 |
transcript.whisperx[35].end |
831.367 |
transcript.whisperx[35].text |
這也是先前為什麼設立了制裁跟商業法院很重要的原因所以我當然一旦有這個機會來守護我們的司法預算您的下一個挑戰是人事同意權我這裡要加速了我想把大法官被提名人都打成綠油油或是側翼我認為就是 |
transcript.whisperx[36].start |
836.954 |
transcript.whisperx[36].end |
861.57 |
transcript.whisperx[36].text |
臺灣的立法院針對司法院的人事同意權的行使嚴當是前所未見的即便在2007年四位大法官被國民黨多數那個時候被嚴當了提名沒有通過但是從來沒有發生過嚴當但是這一屆的立法院人事同意權我們終於今天可以站在這裡 |
transcript.whisperx[37].start |
862.551 |
transcript.whisperx[37].end |
863.832 |
transcript.whisperx[37].text |
當然第三個挑戰就是限訴法﹖ |
transcript.whisperx[38].start |
886.411 |
transcript.whisperx[38].end |
912.442 |
transcript.whisperx[38].text |
因為有人喜歡違憲:然後怕失憲:然後就毀憲這是我的turn:不是您我希望在黨委員不要為難您所以二修憲法訴訟法的提案:被送上了立法院審議的time table曲解變更了現有總額的定義:也提高了憲法法庭評議的門檻從1⅔到2⅓下一頁所以民團跟律師都站上街頭 |
transcript.whisperx[39].start |
914.394 |
transcript.whisperx[39].end |
936.133 |
transcript.whisperx[39].text |
今天是美麗島事件45週年上一次有這麼多律師捍衛挺身而出就是美麗島事件現在2024這麼多的律師專業界包括下一頁黃鴻霞大法官也站出來所以在制度面、實體面、價值面跟效益面民進黨團都反對惡修憲法訴訟法 |
transcript.whisperx[40].start |
938.315 |
transcript.whisperx[40].end |
952.487 |
transcript.whisperx[40].text |
來下一頁98%憲法法庭受理的是人民的申請案下一頁政委長一直說的極端案例會有3位司法院大法官就來進行憲法法庭 |
transcript.whisperx[41].start |
953.307 |
transcript.whisperx[41].end |
976.366 |
transcript.whisperx[41].text |
憲法的解釋並不存在這種案例以過去111年新制憲法法庭到現在宣判的48案裡頭98%參與審理的大法官是大於10位的因為有迴避的制度所以並沒有這個極端案例除了什麼呢下一頁就是人事同意權遲遲沒有行使 |
transcript.whisperx[42].start |
977.805 |
transcript.whisperx[42].end |
996.528 |
transcript.whisperx[42].text |
進行杯葛下頁所以美國最高法院的大法官只有9位但是他同樣是三分之二參與評議、二分之一同意美國沒有人說這危及憲法、危及憲政下頁德國聯邦憲法大法官16位但是他分兩庭 |
transcript.whisperx[43].start |
997.649 |
transcript.whisperx[43].end |
1025.615 |
transcript.whisperx[43].text |
所以一庭只有8位法官.8位法官裡頭的三分之二評議.二分之一同意.也沒有人說會違及憲政.所以非常清楚.憲法訴訟法的修法理由.完全並不存在謝明陽代理院長.也表達了他的意見.他也認為要有社會共識那您對於憲訴法的修法.我認為您也要有立場簡單幾句話 |
transcript.whisperx[44].start |
1027.844 |
transcript.whisperx[44].end |
1028.684 |
transcript.whisperx[44].text |
好,謝謝您的答案民進黨團會捍衛而且 |
transcript.whisperx[45].start |
1054.133 |
transcript.whisperx[45].end |
1080.932 |
transcript.whisperx[45].text |
來阻卻這樣一個違憲的修法您的下一個挑戰是司法改革的未盡之功就是司法人員的減壓但我剛剛也聽到您的報告裡頭說了我們循序來落實訴訟制度訴訟程序的金字塔的制度解決司法過勞我相信您會如您的報告所說的努力來做吳思瑤也提出了我們改革的 |
transcript.whisperx[46].start |
1082.053 |
transcript.whisperx[46].end |
1105.748 |
transcript.whisperx[46].text |
針對司法人員檢押的五大主張我就不贅述但是我會全力來支持合理員額的增加現在只有2195位10萬人當中只有9位您剛也提到比起歐盟真的是連二分之一都不到我會全力支持但是司法院要送出的法案就是行政院的這個基準的這個法律 |
transcript.whisperx[47].start |
1106.808 |
transcript.whisperx[47].end |
1128.213 |
transcript.whisperx[47].text |
您未來領導司法院要加緊送出從根本來解決我們人員不足的問題好嗎會的就像我剛剛的報告我是一個實證取向的這個院長那所以我會針對很多具體的做法那我也已經有具體的計劃好那期待您未來的表現來下一頁 |
transcript.whisperx[48].start |
1129.352 |
transcript.whisperx[48].end |
1146.994 |
transcript.whisperx[48].text |
最後一個嚴峻的挑戰就是一個毀憲亂政不斷在透過修法的立法院擴權、搶錢、沒收民權、摧毀憲法下一頁這是我整理出來的在野黨修法屢踩違憲的紅線 |
transcript.whisperx[49].start |
1149.757 |
transcript.whisperx[49].end |
1164.673 |
transcript.whisperx[49].text |
從違憲的法案就剛剛限訴法.也包括選罷法、沒收人民權利.這也違反憲法的規定喔.包括立法院提出很多的法.把手伸到監察院裡面去.去動了這個人事提名權是總統的權限. |
transcript.whisperx[50].start |
1166.815 |
transcript.whisperx[50].end |
1195.488 |
transcript.whisperx[50].text |
所以違憲的法案非常多錢坑法案更多完全違反了權力分立的原則預算權就是行政權所以違憲的法案亂政的法案親中的法案跟錢坑的法案這些都是立法院的現在進行式我要問公投法最後一頁因為時間要到了在野黨提出的公投法要用公投來取代否決憲法的解釋最後的時間您的意見呢 |
transcript.whisperx[51].start |
1196.414 |
transcript.whisperx[51].end |
1211.142 |
transcript.whisperx[51].text |
就如同我剛剛所報告的這個根據我們的憲法、憲法解釋、憲法訴訟法那憲法解釋跟裁判有拘束全國人民跟各機關的效力那這個事實上從民國70多年就開始我希望大家可以有愛心想法我最後一遍我希望大家可以有愛心想法我最後一遍 |
IVOD_ID |
158065 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/158065 |
日期 |
2024-12-10 |
影片種類 |
Clip |
開始時間 |
2024-12-10T09:35:12+08:00 |
結束時間 |
2024-12-10T09:55:36+08:00 |
支援功能[0] |
ai-transcript |