IVOD_ID |
162754 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/162754 |
日期 |
2025-06-23 |
會議資料.會議代碼 |
委員會-11-3-36-21 |
會議資料.會議代碼:str |
第11屆第3會期司法及法制委員會第21次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
21 |
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3會期司法及法制委員會第21次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-06-23T09:16:34+08:00 |
結束時間 |
2025-06-23T09:27:46+08:00 |
影片長度 |
00:11:12 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/b58c4cf52db2e91a1c707150a70d99d47f2aef3382ea3fb05c7fa28b96d4b42c0d2386bbdc16c9535ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
王義川 |
委員發言時間 |
09:16:34 - 09:27:46 |
會議時間 |
2025-06-23T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期司法及法制委員會第21次全體委員會議(事由:邀請法務部部長、法務部矯正署署長、司法院及衛生福利部就「現行獄政與受刑人處遇機制之制度檢討」進行專題報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
1.02659375 |
transcript.pyannote[1].speaker |
SPEAKER_02 |
transcript.pyannote[1].start |
11.32034375 |
transcript.pyannote[1].end |
17.39534375 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
23.06534375 |
transcript.pyannote[2].end |
24.97221875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
26.62596875 |
transcript.pyannote[3].end |
26.76096875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
27.04784375 |
transcript.pyannote[4].end |
28.34721875 |
transcript.pyannote[5].speaker |
SPEAKER_02 |
transcript.pyannote[5].start |
28.54971875 |
transcript.pyannote[5].end |
28.87034375 |
transcript.pyannote[6].speaker |
SPEAKER_02 |
transcript.pyannote[6].start |
29.52846875 |
transcript.pyannote[6].end |
32.07659375 |
transcript.pyannote[7].speaker |
SPEAKER_02 |
transcript.pyannote[7].start |
33.49409375 |
transcript.pyannote[7].end |
36.49784375 |
transcript.pyannote[8].speaker |
SPEAKER_03 |
transcript.pyannote[8].start |
33.96659375 |
transcript.pyannote[8].end |
34.42221875 |
transcript.pyannote[9].speaker |
SPEAKER_03 |
transcript.pyannote[9].start |
36.49784375 |
transcript.pyannote[9].end |
36.81846875 |
transcript.pyannote[10].speaker |
SPEAKER_02 |
transcript.pyannote[10].start |
36.81846875 |
transcript.pyannote[10].end |
38.03346875 |
transcript.pyannote[11].speaker |
SPEAKER_02 |
transcript.pyannote[11].start |
38.60721875 |
transcript.pyannote[11].end |
41.34096875 |
transcript.pyannote[12].speaker |
SPEAKER_02 |
transcript.pyannote[12].start |
41.42534375 |
transcript.pyannote[12].end |
41.79659375 |
transcript.pyannote[13].speaker |
SPEAKER_02 |
transcript.pyannote[13].start |
41.96534375 |
transcript.pyannote[13].end |
44.54721875 |
transcript.pyannote[14].speaker |
SPEAKER_03 |
transcript.pyannote[14].start |
45.77909375 |
transcript.pyannote[14].end |
47.46659375 |
transcript.pyannote[15].speaker |
SPEAKER_03 |
transcript.pyannote[15].start |
47.75346875 |
transcript.pyannote[15].end |
60.10596875 |
transcript.pyannote[16].speaker |
SPEAKER_02 |
transcript.pyannote[16].start |
59.78534375 |
transcript.pyannote[16].end |
62.04659375 |
transcript.pyannote[17].speaker |
SPEAKER_03 |
transcript.pyannote[17].start |
62.85659375 |
transcript.pyannote[17].end |
70.19721875 |
transcript.pyannote[18].speaker |
SPEAKER_02 |
transcript.pyannote[18].start |
69.89346875 |
transcript.pyannote[18].end |
76.71096875 |
transcript.pyannote[19].speaker |
SPEAKER_03 |
transcript.pyannote[19].start |
76.81221875 |
transcript.pyannote[19].end |
76.84596875 |
transcript.pyannote[20].speaker |
SPEAKER_02 |
transcript.pyannote[20].start |
76.84596875 |
transcript.pyannote[20].end |
76.87971875 |
transcript.pyannote[21].speaker |
SPEAKER_03 |
transcript.pyannote[21].start |
76.87971875 |
transcript.pyannote[21].end |
76.91346875 |
transcript.pyannote[22].speaker |
SPEAKER_02 |
transcript.pyannote[22].start |
76.91346875 |
transcript.pyannote[22].end |
76.93034375 |
transcript.pyannote[23].speaker |
SPEAKER_03 |
transcript.pyannote[23].start |
76.93034375 |
transcript.pyannote[23].end |
76.98096875 |
transcript.pyannote[24].speaker |
SPEAKER_02 |
transcript.pyannote[24].start |
76.98096875 |
transcript.pyannote[24].end |
80.33909375 |
transcript.pyannote[25].speaker |
SPEAKER_03 |
transcript.pyannote[25].start |
77.06534375 |
transcript.pyannote[25].end |
77.21721875 |
transcript.pyannote[26].speaker |
SPEAKER_02 |
transcript.pyannote[26].start |
81.09846875 |
transcript.pyannote[26].end |
84.15284375 |
transcript.pyannote[27].speaker |
SPEAKER_03 |
transcript.pyannote[27].start |
84.45659375 |
transcript.pyannote[27].end |
88.28721875 |
transcript.pyannote[28].speaker |
SPEAKER_03 |
transcript.pyannote[28].start |
88.72596875 |
transcript.pyannote[28].end |
94.58159375 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
95.79659375 |
transcript.pyannote[29].end |
98.61471875 |
transcript.pyannote[30].speaker |
SPEAKER_03 |
transcript.pyannote[30].start |
95.86409375 |
transcript.pyannote[30].end |
96.08346875 |
transcript.pyannote[31].speaker |
SPEAKER_02 |
transcript.pyannote[31].start |
99.01971875 |
transcript.pyannote[31].end |
103.17096875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
103.49159375 |
transcript.pyannote[32].end |
106.20846875 |
transcript.pyannote[33].speaker |
SPEAKER_02 |
transcript.pyannote[33].start |
105.61784375 |
transcript.pyannote[33].end |
106.29284375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
106.29284375 |
transcript.pyannote[34].end |
107.05221875 |
transcript.pyannote[35].speaker |
SPEAKER_02 |
transcript.pyannote[35].start |
107.05221875 |
transcript.pyannote[35].end |
111.81096875 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
107.10284375 |
transcript.pyannote[36].end |
107.38971875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
109.81971875 |
transcript.pyannote[37].end |
110.00534375 |
transcript.pyannote[38].speaker |
SPEAKER_03 |
transcript.pyannote[38].start |
110.03909375 |
transcript.pyannote[38].end |
110.05596875 |
transcript.pyannote[39].speaker |
SPEAKER_03 |
transcript.pyannote[39].start |
112.38471875 |
transcript.pyannote[39].end |
120.77159375 |
transcript.pyannote[40].speaker |
SPEAKER_02 |
transcript.pyannote[40].start |
117.26159375 |
transcript.pyannote[40].end |
117.32909375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
117.32909375 |
transcript.pyannote[41].end |
117.75096875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
121.24409375 |
transcript.pyannote[42].end |
121.76721875 |
transcript.pyannote[43].speaker |
SPEAKER_03 |
transcript.pyannote[43].start |
121.76721875 |
transcript.pyannote[43].end |
127.57221875 |
transcript.pyannote[44].speaker |
SPEAKER_03 |
transcript.pyannote[44].start |
128.82096875 |
transcript.pyannote[44].end |
129.79971875 |
transcript.pyannote[45].speaker |
SPEAKER_02 |
transcript.pyannote[45].start |
129.79971875 |
transcript.pyannote[45].end |
129.83346875 |
transcript.pyannote[46].speaker |
SPEAKER_02 |
transcript.pyannote[46].start |
130.62659375 |
transcript.pyannote[46].end |
131.94284375 |
transcript.pyannote[47].speaker |
SPEAKER_03 |
transcript.pyannote[47].start |
131.94284375 |
transcript.pyannote[47].end |
138.30471875 |
transcript.pyannote[48].speaker |
SPEAKER_02 |
transcript.pyannote[48].start |
136.54971875 |
transcript.pyannote[48].end |
138.28784375 |
transcript.pyannote[49].speaker |
SPEAKER_02 |
transcript.pyannote[49].start |
138.30471875 |
transcript.pyannote[49].end |
139.03034375 |
transcript.pyannote[50].speaker |
SPEAKER_03 |
transcript.pyannote[50].start |
139.03034375 |
transcript.pyannote[50].end |
140.34659375 |
transcript.pyannote[51].speaker |
SPEAKER_03 |
transcript.pyannote[51].start |
141.44346875 |
transcript.pyannote[51].end |
151.61909375 |
transcript.pyannote[52].speaker |
SPEAKER_02 |
transcript.pyannote[52].start |
151.66971875 |
transcript.pyannote[52].end |
154.43721875 |
transcript.pyannote[53].speaker |
SPEAKER_03 |
transcript.pyannote[53].start |
154.43721875 |
transcript.pyannote[53].end |
154.97721875 |
transcript.pyannote[54].speaker |
SPEAKER_02 |
transcript.pyannote[54].start |
154.97721875 |
transcript.pyannote[54].end |
156.64784375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
158.03159375 |
transcript.pyannote[55].end |
162.30096875 |
transcript.pyannote[56].speaker |
SPEAKER_02 |
transcript.pyannote[56].start |
160.57971875 |
transcript.pyannote[56].end |
161.59221875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
161.59221875 |
transcript.pyannote[57].end |
161.62596875 |
transcript.pyannote[58].speaker |
SPEAKER_01 |
transcript.pyannote[58].start |
165.18659375 |
transcript.pyannote[58].end |
172.17284375 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
170.16471875 |
transcript.pyannote[59].end |
170.51909375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
172.32471875 |
transcript.pyannote[60].end |
199.69596875 |
transcript.pyannote[61].speaker |
SPEAKER_02 |
transcript.pyannote[61].start |
197.73846875 |
transcript.pyannote[61].end |
198.73409375 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
200.89409375 |
transcript.pyannote[62].end |
201.28221875 |
transcript.pyannote[63].speaker |
SPEAKER_01 |
transcript.pyannote[63].start |
201.95721875 |
transcript.pyannote[63].end |
207.49221875 |
transcript.pyannote[64].speaker |
SPEAKER_02 |
transcript.pyannote[64].start |
207.49221875 |
transcript.pyannote[64].end |
213.16221875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
207.50909375 |
transcript.pyannote[65].end |
209.55096875 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
213.16221875 |
transcript.pyannote[66].end |
213.24659375 |
transcript.pyannote[67].speaker |
SPEAKER_02 |
transcript.pyannote[67].start |
213.24659375 |
transcript.pyannote[67].end |
213.28034375 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
213.28034375 |
transcript.pyannote[68].end |
218.98409375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
219.23721875 |
transcript.pyannote[69].end |
223.27034375 |
transcript.pyannote[70].speaker |
SPEAKER_02 |
transcript.pyannote[70].start |
220.95846875 |
transcript.pyannote[70].end |
222.10596875 |
transcript.pyannote[71].speaker |
SPEAKER_02 |
transcript.pyannote[71].start |
222.88221875 |
transcript.pyannote[71].end |
240.80346875 |
transcript.pyannote[72].speaker |
SPEAKER_02 |
transcript.pyannote[72].start |
242.42346875 |
transcript.pyannote[72].end |
244.02659375 |
transcript.pyannote[73].speaker |
SPEAKER_03 |
transcript.pyannote[73].start |
244.02659375 |
transcript.pyannote[73].end |
257.76284375 |
transcript.pyannote[74].speaker |
SPEAKER_02 |
transcript.pyannote[74].start |
255.23159375 |
transcript.pyannote[74].end |
256.19346875 |
transcript.pyannote[75].speaker |
SPEAKER_02 |
transcript.pyannote[75].start |
256.32846875 |
transcript.pyannote[75].end |
256.53096875 |
transcript.pyannote[76].speaker |
SPEAKER_02 |
transcript.pyannote[76].start |
257.91471875 |
transcript.pyannote[76].end |
262.36971875 |
transcript.pyannote[77].speaker |
SPEAKER_03 |
transcript.pyannote[77].start |
262.21784375 |
transcript.pyannote[77].end |
262.28534375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
262.28534375 |
transcript.pyannote[78].end |
263.17971875 |
transcript.pyannote[79].speaker |
SPEAKER_02 |
transcript.pyannote[79].start |
262.38659375 |
transcript.pyannote[79].end |
267.22971875 |
transcript.pyannote[80].speaker |
SPEAKER_02 |
transcript.pyannote[80].start |
267.36471875 |
transcript.pyannote[80].end |
269.00159375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
269.45721875 |
transcript.pyannote[81].end |
271.07721875 |
transcript.pyannote[82].speaker |
SPEAKER_02 |
transcript.pyannote[82].start |
271.07721875 |
transcript.pyannote[82].end |
274.80659375 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
271.75221875 |
transcript.pyannote[83].end |
273.10221875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
274.53659375 |
transcript.pyannote[84].end |
275.17784375 |
transcript.pyannote[85].speaker |
SPEAKER_02 |
transcript.pyannote[85].start |
275.46471875 |
transcript.pyannote[85].end |
277.81034375 |
transcript.pyannote[86].speaker |
SPEAKER_02 |
transcript.pyannote[86].start |
278.26596875 |
transcript.pyannote[86].end |
280.20659375 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
281.33721875 |
transcript.pyannote[87].end |
284.50971875 |
transcript.pyannote[88].speaker |
SPEAKER_02 |
transcript.pyannote[88].start |
284.34096875 |
transcript.pyannote[88].end |
285.60659375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
284.52659375 |
transcript.pyannote[89].end |
286.11284375 |
transcript.pyannote[90].speaker |
SPEAKER_02 |
transcript.pyannote[90].start |
286.11284375 |
transcript.pyannote[90].end |
289.52159375 |
transcript.pyannote[91].speaker |
SPEAKER_02 |
transcript.pyannote[91].start |
289.89284375 |
transcript.pyannote[91].end |
293.41971875 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
293.41971875 |
transcript.pyannote[92].end |
315.54284375 |
transcript.pyannote[93].speaker |
SPEAKER_02 |
transcript.pyannote[93].start |
315.54284375 |
transcript.pyannote[93].end |
318.20909375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
319.18784375 |
transcript.pyannote[94].end |
322.05659375 |
transcript.pyannote[95].speaker |
SPEAKER_02 |
transcript.pyannote[95].start |
322.05659375 |
transcript.pyannote[95].end |
325.65096875 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
327.15284375 |
transcript.pyannote[96].end |
339.47159375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
339.80909375 |
transcript.pyannote[97].end |
346.35659375 |
transcript.pyannote[98].speaker |
SPEAKER_02 |
transcript.pyannote[98].start |
346.35659375 |
transcript.pyannote[98].end |
346.37346875 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
346.37346875 |
transcript.pyannote[99].end |
346.39034375 |
transcript.pyannote[100].speaker |
SPEAKER_02 |
transcript.pyannote[100].start |
346.39034375 |
transcript.pyannote[100].end |
347.67284375 |
transcript.pyannote[101].speaker |
SPEAKER_02 |
transcript.pyannote[101].start |
348.24659375 |
transcript.pyannote[101].end |
349.07346875 |
transcript.pyannote[102].speaker |
SPEAKER_02 |
transcript.pyannote[102].start |
349.52909375 |
transcript.pyannote[102].end |
355.01346875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
351.75659375 |
transcript.pyannote[103].end |
351.92534375 |
transcript.pyannote[104].speaker |
SPEAKER_02 |
transcript.pyannote[104].start |
356.26221875 |
transcript.pyannote[104].end |
359.02971875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
357.74721875 |
transcript.pyannote[105].end |
358.06784375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
359.02971875 |
transcript.pyannote[106].end |
359.08034375 |
transcript.pyannote[107].speaker |
SPEAKER_02 |
transcript.pyannote[107].start |
359.08034375 |
transcript.pyannote[107].end |
359.09721875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
359.09721875 |
transcript.pyannote[108].end |
359.19846875 |
transcript.pyannote[109].speaker |
SPEAKER_02 |
transcript.pyannote[109].start |
359.19846875 |
transcript.pyannote[109].end |
359.24909375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
359.24909375 |
transcript.pyannote[110].end |
359.36721875 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
359.36721875 |
transcript.pyannote[111].end |
363.01221875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
361.51034375 |
transcript.pyannote[112].end |
363.07971875 |
transcript.pyannote[113].speaker |
SPEAKER_02 |
transcript.pyannote[113].start |
363.02909375 |
transcript.pyannote[113].end |
365.54346875 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
366.16784375 |
transcript.pyannote[114].end |
366.92721875 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
368.26034375 |
transcript.pyannote[115].end |
378.79034375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
379.09409375 |
transcript.pyannote[116].end |
382.18221875 |
transcript.pyannote[117].speaker |
SPEAKER_02 |
transcript.pyannote[117].start |
381.79409375 |
transcript.pyannote[117].end |
405.92534375 |
transcript.pyannote[118].speaker |
SPEAKER_00 |
transcript.pyannote[118].start |
388.05471875 |
transcript.pyannote[118].end |
388.52721875 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
394.99034375 |
transcript.pyannote[119].end |
395.05784375 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
395.26034375 |
transcript.pyannote[120].end |
395.34471875 |
transcript.pyannote[121].speaker |
SPEAKER_03 |
transcript.pyannote[121].start |
399.93471875 |
transcript.pyannote[121].end |
400.28909375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
400.28909375 |
transcript.pyannote[122].end |
400.30596875 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
405.31784375 |
transcript.pyannote[123].end |
405.33471875 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
406.48221875 |
transcript.pyannote[124].end |
408.45659375 |
transcript.pyannote[125].speaker |
SPEAKER_02 |
transcript.pyannote[125].start |
409.14846875 |
transcript.pyannote[125].end |
415.57784375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
416.08409375 |
transcript.pyannote[126].end |
425.33159375 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
422.56409375 |
transcript.pyannote[127].end |
422.93534375 |
transcript.pyannote[128].speaker |
SPEAKER_02 |
transcript.pyannote[128].start |
424.26846875 |
transcript.pyannote[128].end |
427.64346875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
427.64346875 |
transcript.pyannote[129].end |
428.53784375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
427.81221875 |
transcript.pyannote[130].end |
429.09471875 |
transcript.pyannote[131].speaker |
SPEAKER_01 |
transcript.pyannote[131].start |
429.28034375 |
transcript.pyannote[131].end |
431.72721875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
432.01409375 |
transcript.pyannote[132].end |
433.81971875 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
434.27534375 |
transcript.pyannote[133].end |
440.02971875 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
440.28284375 |
transcript.pyannote[134].end |
440.73846875 |
transcript.pyannote[135].speaker |
SPEAKER_01 |
transcript.pyannote[135].start |
441.24471875 |
transcript.pyannote[135].end |
451.87596875 |
transcript.pyannote[136].speaker |
SPEAKER_02 |
transcript.pyannote[136].start |
448.53471875 |
transcript.pyannote[136].end |
449.76659375 |
transcript.pyannote[137].speaker |
SPEAKER_01 |
transcript.pyannote[137].start |
452.21346875 |
transcript.pyannote[137].end |
460.14471875 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
459.67221875 |
transcript.pyannote[138].end |
460.68471875 |
transcript.pyannote[139].speaker |
SPEAKER_01 |
transcript.pyannote[139].start |
460.41471875 |
transcript.pyannote[139].end |
467.82284375 |
transcript.pyannote[140].speaker |
SPEAKER_02 |
transcript.pyannote[140].start |
467.78909375 |
transcript.pyannote[140].end |
478.67346875 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
479.53409375 |
transcript.pyannote[141].end |
481.00221875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
479.71971875 |
transcript.pyannote[142].end |
480.09096875 |
transcript.pyannote[143].speaker |
SPEAKER_02 |
transcript.pyannote[143].start |
481.69409375 |
transcript.pyannote[143].end |
487.09409375 |
transcript.pyannote[144].speaker |
SPEAKER_02 |
transcript.pyannote[144].start |
487.51596875 |
transcript.pyannote[144].end |
489.03471875 |
transcript.pyannote[145].speaker |
SPEAKER_01 |
transcript.pyannote[145].start |
489.49034375 |
transcript.pyannote[145].end |
493.23659375 |
transcript.pyannote[146].speaker |
SPEAKER_01 |
transcript.pyannote[146].start |
493.89471875 |
transcript.pyannote[146].end |
496.56096875 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
496.59471875 |
transcript.pyannote[147].end |
516.08534375 |
transcript.pyannote[148].speaker |
SPEAKER_01 |
transcript.pyannote[148].start |
516.54096875 |
transcript.pyannote[148].end |
516.57471875 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
516.57471875 |
transcript.pyannote[149].end |
523.89846875 |
transcript.pyannote[150].speaker |
SPEAKER_01 |
transcript.pyannote[150].start |
523.89846875 |
transcript.pyannote[150].end |
525.48471875 |
transcript.pyannote[151].speaker |
SPEAKER_01 |
transcript.pyannote[151].start |
526.12596875 |
transcript.pyannote[151].end |
527.37471875 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
527.79659375 |
transcript.pyannote[152].end |
530.93534375 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
529.80471875 |
transcript.pyannote[153].end |
531.86346875 |
transcript.pyannote[154].speaker |
SPEAKER_01 |
transcript.pyannote[154].start |
531.57659375 |
transcript.pyannote[154].end |
532.60596875 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
532.60596875 |
transcript.pyannote[155].end |
532.96034375 |
transcript.pyannote[156].speaker |
SPEAKER_01 |
transcript.pyannote[156].start |
532.96034375 |
transcript.pyannote[156].end |
532.97721875 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
532.97721875 |
transcript.pyannote[157].end |
536.68971875 |
transcript.pyannote[158].speaker |
SPEAKER_01 |
transcript.pyannote[158].start |
533.60159375 |
transcript.pyannote[158].end |
534.12471875 |
transcript.pyannote[159].speaker |
SPEAKER_01 |
transcript.pyannote[159].start |
534.51284375 |
transcript.pyannote[159].end |
535.10346875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
536.68971875 |
transcript.pyannote[160].end |
536.99346875 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
536.99346875 |
transcript.pyannote[161].end |
548.50221875 |
transcript.pyannote[162].speaker |
SPEAKER_01 |
transcript.pyannote[162].start |
537.06096875 |
transcript.pyannote[162].end |
537.61784375 |
transcript.pyannote[163].speaker |
SPEAKER_01 |
transcript.pyannote[163].start |
543.50721875 |
transcript.pyannote[163].end |
543.52409375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
543.52409375 |
transcript.pyannote[164].end |
544.75596875 |
transcript.pyannote[165].speaker |
SPEAKER_00 |
transcript.pyannote[165].start |
546.24096875 |
transcript.pyannote[165].end |
546.42659375 |
transcript.pyannote[166].speaker |
SPEAKER_00 |
transcript.pyannote[166].start |
546.47721875 |
transcript.pyannote[166].end |
546.59534375 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
549.24471875 |
transcript.pyannote[167].end |
553.69971875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
553.69971875 |
transcript.pyannote[168].end |
555.42096875 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
556.26471875 |
transcript.pyannote[169].end |
575.26596875 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
575.26596875 |
transcript.pyannote[170].end |
576.17721875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
576.17721875 |
transcript.pyannote[171].end |
576.24471875 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
576.24471875 |
transcript.pyannote[172].end |
580.66596875 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
581.76284375 |
transcript.pyannote[173].end |
583.09596875 |
transcript.pyannote[174].speaker |
SPEAKER_01 |
transcript.pyannote[174].start |
583.85534375 |
transcript.pyannote[174].end |
584.36159375 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
584.74971875 |
transcript.pyannote[175].end |
586.90971875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
587.50034375 |
transcript.pyannote[176].end |
592.41096875 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
593.57534375 |
transcript.pyannote[177].end |
609.84284375 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
609.84284375 |
transcript.pyannote[178].end |
612.39096875 |
transcript.pyannote[179].speaker |
SPEAKER_01 |
transcript.pyannote[179].start |
613.30221875 |
transcript.pyannote[179].end |
615.36096875 |
transcript.pyannote[180].speaker |
SPEAKER_01 |
transcript.pyannote[180].start |
615.52971875 |
transcript.pyannote[180].end |
623.37659375 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
615.73221875 |
transcript.pyannote[181].end |
616.49159375 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
620.52471875 |
transcript.pyannote[182].end |
621.52034375 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
623.24159375 |
transcript.pyannote[183].end |
636.75846875 |
transcript.pyannote[184].speaker |
SPEAKER_01 |
transcript.pyannote[184].start |
637.56846875 |
transcript.pyannote[184].end |
662.96534375 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
645.02721875 |
transcript.pyannote[185].end |
645.21284375 |
transcript.pyannote[186].speaker |
SPEAKER_00 |
transcript.pyannote[186].start |
658.00409375 |
transcript.pyannote[186].end |
658.03784375 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
658.03784375 |
transcript.pyannote[187].end |
658.32471875 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
659.59034375 |
transcript.pyannote[188].end |
659.87721875 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
662.96534375 |
transcript.pyannote[189].end |
672.14534375 |
transcript.pyannote[190].speaker |
SPEAKER_01 |
transcript.pyannote[190].start |
672.38159375 |
transcript.pyannote[190].end |
672.87096875 |
transcript.whisperx[0].start |
11.336 |
transcript.whisperx[0].end |
27.405 |
transcript.whisperx[0].text |
好 謝謝主席 我們請次長跟這個署長 謝謝健保 健保委員長 委員長 |
transcript.whisperx[1].start |
29.588 |
transcript.whisperx[1].end |
44.129 |
transcript.whisperx[1].text |
我先請教這個我們健保署這個受刑人的健保費啊如果是依附在家屬下就是家屬繳了嘛那如果什麼都沒有了就欠錢 |
transcript.whisperx[2].start |
46.695 |
transcript.whisperx[2].end |
61.131 |
transcript.whisperx[2].text |
我們這個如果真的是繳不出來的我們有一些這個協處機制那麼包含這個愛心專款啦不然如果它仍然有能力繳的那麼我們有六類看看它本來它怎麼會有能力繳 要關在裡面 |
transcript.whisperx[3].start |
63.916 |
transcript.whisperx[3].end |
83.513 |
transcript.whisperx[3].text |
他自己如果有收入的時候,矯正機關有一個補助的機制可以嗎?對啊,可是那個錢應該都不多啊,我的意思是說如果他也沒什麼能力繳嘛那家人也不讓他依附在下面嘛,他可能出獄的時候就先欠你錢 |
transcript.whisperx[4].start |
85.223 |
transcript.whisperx[4].end |
110.724 |
transcript.whisperx[4].text |
因為現在在收容的時候就會改類變成第四類第二目第四類第二目的話那矯正機關會協助我們有編預算來處理這一塊那法務部會再跟當事人吹角嗎沒有 這個已經改列了改列了所以在這個署長你講那個健保的有一些跟錢有關的會是怎樣 |
transcript.whisperx[5].start |
112.418 |
transcript.whisperx[5].end |
139.869 |
transcript.whisperx[5].text |
喔 那是服務費 就是說他的健保費沒有問題繳了 那個保費啦但是在接受服務的時候 要給我部分負擔一般的民眾都有部分負擔 阿姨主要是部分負擔的部分繳不出來阿這要修喔 那就沒錢了 你再修阿這依法就是要用啦 阿所以我們是希望說喔 能夠...他整天一直跟醫生說 阿姨不要給我開到那個部分負擔 |
transcript.whisperx[6].start |
142.42 |
transcript.whisperx[6].end |
145.904 |
transcript.whisperx[6].text |
那這個費用就變成欠健保囉?這個法務部就不處理了嗎?我是不是請那個署長,財政署署長來跟我們說明報告一下 |
transcript.whisperx[7].start |
165.662 |
transcript.whisperx[7].end |
187.936 |
transcript.whisperx[7].text |
報告委員我們法務部有編列大概14億多就是健保費用那至於是說部分負擔就像民眾一樣可能掛號費是150然後部分負擔是50塊就是交個200塊那他如果是說掛號費或是部分負擔他繳不出來 |
transcript.whisperx[8].start |
188.897 |
transcript.whisperx[8].end |
199.157 |
transcript.whisperx[8].text |
其實這個是小額的他如果是弱勢團體 其實我們有相關的相關的弱勢團體的補助 包括一般民眾 |
transcript.whisperx[9].start |
202.437 |
transcript.whisperx[9].end |
222.855 |
transcript.whisperx[9].text |
經濟困難的我們會有補助公益金也好或是醫院也有一些社會福利金但是我們還可以協助他向健保申請分期繳納或是申請貸款如果他欠的比較多的話 |
transcript.whisperx[10].start |
223.996 |
transcript.whisperx[10].end |
239.987 |
transcript.whisperx[10].text |
提這個目的啊 是有些這個受刑人嘛 他就要改過自新啊嘛啊 過去一年他就要被抓了嘛 被抓也舉目無親嘛 妻離子散啦嘛他也沒有收入都沒有啊 結果他走出那個監獄的時候 他就欠人家錢啊他現在欠的是政府啊 我的意思是這樣 有可能嘛齁 |
transcript.whisperx[11].start |
246.527 |
transcript.whisperx[11].end |
268.695 |
transcript.whisperx[11].text |
他出獄之後我們就有這個協處方案在我們各分區他都有一些這個經濟弱勢者困難的這個協助分期付款或補助都有好那這個兩位署長請回好謝謝市長請問一下這個受刑人在監獄裡頭可以接受大學教育嗎 |
transcript.whisperx[12].start |
269.68 |
transcript.whisperx[12].end |
280.07 |
transcript.whisperx[12].text |
有 我們今天報告有提到好 那接受大學教育就是空中大學的嘛那科系自己選對不對那請問這些人怎麼交報告啊 |
transcript.whisperx[13].start |
282.284 |
transcript.whisperx[13].end |
302.535 |
transcript.whisperx[13].text |
這個細節的部分我們是不是還是請署長這邊來跟我們說一下 不好意思就是說他一來在 可能也不可以用網路嘛他如果要教報告 他要怎麼用是 報告委員 像這種參加空大的他本身可能一般來講 那個學習的期間會延長 |
transcript.whisperx[14].start |
304.176 |
transcript.whisperx[14].end |
325.242 |
transcript.whisperx[14].text |
所以他們也是按照空大相關要提的報告 他們還是會來提只是他可能寫的學分也好 或是他能夠有的時間我知道 可是因為他寫報告他不能上網啊他也可以用其他的方式啦 當然是不能上網沒有其他方式 監獄裡面三位都沒有啊 他們要搞報告 |
transcript.whisperx[15].start |
327.196 |
transcript.whisperx[15].end |
351.222 |
transcript.whisperx[15].text |
我們相關的他寫的那個專業歌目比如說相關的參考資料他也是可以取得到的啊不一定是要用網路網路所以他們就是相關的資料取得之後他可以提交書面這是沒有問題的我知道啦那這個來來次長這署長這樣講你看現在大學生啊寫報告沒上網是要怎麼寫 |
transcript.whisperx[16].start |
357.615 |
transcript.whisperx[16].end |
363.259 |
transcript.whisperx[16].text |
就直接只看老師給的教科書跟講義這樣就能夠寫期末報告這很難吧 |
transcript.whisperx[17].start |
368.688 |
transcript.whisperx[17].end |
389.555 |
transcript.whisperx[17].text |
因為上網涉及到很多監獄管理的問題所以可能也未必適合說因為還有在就學就全面來開放所以這個部分可能我們再研議看看就是說這個接受大學教育因為他不是只有背書或者是只有翻課本 |
transcript.whisperx[18].start |
390.275 |
transcript.whisperx[18].end |
415.207 |
transcript.whisperx[18].text |
那如果他這個老師空大老師上課的方式希望學生交報告那顯然給他的這個參考資料啊就要更完整啊不然他英文就是老師一本書交講義然後隔著螢幕聽老師上課然後最後他就能夠交出報告這個對一般大學生來說啊這個聽起來是不可思議 |
transcript.whisperx[19].start |
416.147 |
transcript.whisperx[19].end |
440.423 |
transcript.whisperx[19].text |
是 我們再請蔣介石來研議就是說專門對於有這個上進學習的需求的部分看怎麼樣來處理就是來協助他們啦來協助他們報告委員 我們空袋有兩種一種是協婚班一種是協志班就是大家可以拿到協士那一般協婚班他 |
transcript.whisperx[20].start |
441.323 |
transcript.whisperx[20].end |
456.915 |
transcript.whisperx[20].text |
也比較簡單他就相關的資料搜尋好寫書面報告之後他就提交給我知道啦他就沒辦法搜尋他協志班因為他可能還有其他的活動作業所以他可能會比一般民眾 |
transcript.whisperx[21].start |
457.876 |
transcript.whisperx[21].end |
478.076 |
transcript.whisperx[21].text |
他的演習時間要拉長他們都很樂意可以拿到在執行又可以拿到學位他們也很樂意會用工去收集最後一個是請教一下我們的受刑人如果有身心障礙你們這個處遇機制裡頭有一個分數叫做作業 |
transcript.whisperx[22].start |
479.634 |
transcript.whisperx[22].end |
492.431 |
transcript.whisperx[22].text |
他可能要出來做一些東西嘛那他這個如果身心障礙這家都沒辦法那這個分數他怎麼得報告委員我們有所謂的和還儲益 |
transcript.whisperx[23].start |
493.942 |
transcript.whisperx[23].end |
515.74 |
transcript.whisperx[23].text |
對於那種比較嚴重一點的我們會給他一個優待在作業方面因為他事實上沒有達到沒有辦法達到那麼高的效率但是我們基於人權的考量會有所謂的合環處一各機關會把這些相關適合合環處一的報到我們署裡面我們署裡面會來核准 |
transcript.whisperx[24].start |
516.838 |
transcript.whisperx[24].end |
536.284 |
transcript.whisperx[24].text |
所以這個他的作業分數的計算可能就跟一般的壽星人不一樣會打八折他可以打折啦可以打八折責任分數責任分數就變少嘛會變少所以他得到的分數扣過去就分數會比較高一點嘛 |
transcript.whisperx[25].start |
537.765 |
transcript.whisperx[25].end |
554.636 |
transcript.whisperx[25].text |
那剛剛這個次長報告的時候有提到啊什麼收音機啦我請教一下我們現在的受刑人在裡頭啊到底可不可以看電視台啊這個應該細節給他講那應該我就據我的了解是有好那可不可以看爭論節目啊 |
transcript.whisperx[26].start |
557.411 |
transcript.whisperx[26].end |
580.339 |
transcript.whisperx[26].text |
包括那個委員如果有一些有所謂的進鑑的方面我們會參考法官進鑑的內容如果他有說政論節目不行或是跟他相關有關的消息不行我們那個是不會給他看那個台的一般是可以一般是可以那就是幾台可以看幾台 |
transcript.whisperx[27].start |
582.273 |
transcript.whisperx[27].end |
591.85 |
transcript.whisperx[27].text |
這個幾台可能就不一定吧每個地區的台數不一樣所以我們可以看幾點 |
transcript.whisperx[28].start |
593.612 |
transcript.whisperx[28].end |
612.254 |
transcript.whisperx[28].text |
一般我們沿著上這種是大概九點就熄燈但是在六日可能會延長一個小時到十點才熄燈但是前提是不能開大聲音響有的是聽耳機不要吵到別人那他九點以後繼續看也不會有事啊 |
transcript.whisperx[29].start |
613.379 |
transcript.whisperx[29].end |
636.469 |
transcript.whisperx[29].text |
主管會去糾正他早點睡覺生火作息主管會去糾正他但是假日他可以延長一點所以大部分都只有那個進鑑的進鑑的話就是在這一方面會管制會管制 進鑑會管制那其他的就是處遇的這個分手有高那就會讓他看 |
transcript.whisperx[30].start |
638.028 |
transcript.whisperx[30].end |
658.73 |
transcript.whisperx[30].text |
對我們的階級處理現在都比較朝向人道化剛剛提到那個電視嘛電視原來是4級就可以但是收音機要3級我們在113年已經函試了這個因為這個之前是35年訂定那時候沒有電視那時候只有留聲機 |
transcript.whisperx[31].start |
659.751 |
transcript.whisperx[31].end |
669.95 |
transcript.whisperx[31].text |
所以留生機它變成是三級可以持有留生機那這些相關的機制你們再加速來處理好不好你們不是說你們要檢討嘛對不對好那謝謝 |