IVOD_ID |
163159 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/163159 |
日期 |
2025-07-16 |
會議資料.會議代碼 |
委員會-11-3-36-22 |
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22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 |
22 |
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22次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-07-16T11:22:08+08:00 |
結束時間 |
2025-07-16T11:35:22+08:00 |
影片長度 |
00:13:14 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/7c9429a73bae53e0d8e0936b23189b7f9598e56ead14a87f2c80b78dbb6162d2e25638440f1b511c5ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
李坤城 |
委員發言時間 |
11:22:08 - 11:35:22 |
會議時間 |
2025-07-16T09:00:00+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22次全體委員會議(事由:邀請司法院副秘書長、法務部部長、衛生福利部部長、內政部警政署署長、教育部、勞動部、內政部移民署率所屬相關單位列席就「保護令不是萬能的?!如何避免憾事再度發生。家庭暴力防治法保護令核發,研析配套措施之檢討與精進,並提供相關統計數據」進行專題報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_04 |
transcript.pyannote[0].start |
8.08034375 |
transcript.pyannote[0].end |
9.83534375 |
transcript.pyannote[1].speaker |
SPEAKER_04 |
transcript.pyannote[1].start |
9.95346875 |
transcript.pyannote[1].end |
17.34471875 |
transcript.pyannote[2].speaker |
SPEAKER_02 |
transcript.pyannote[2].start |
16.46721875 |
transcript.pyannote[2].end |
18.34034375 |
transcript.pyannote[3].speaker |
SPEAKER_04 |
transcript.pyannote[3].start |
22.00221875 |
transcript.pyannote[3].end |
22.76159375 |
transcript.pyannote[4].speaker |
SPEAKER_04 |
transcript.pyannote[4].start |
23.33534375 |
transcript.pyannote[4].end |
39.38346875 |
transcript.pyannote[5].speaker |
SPEAKER_04 |
transcript.pyannote[5].start |
39.41721875 |
transcript.pyannote[5].end |
51.60096875 |
transcript.pyannote[6].speaker |
SPEAKER_04 |
transcript.pyannote[6].start |
52.09034375 |
transcript.pyannote[6].end |
53.67659375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
56.49471875 |
transcript.pyannote[7].end |
57.10221875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
57.38909375 |
transcript.pyannote[8].end |
96.47159375 |
transcript.pyannote[9].speaker |
SPEAKER_04 |
transcript.pyannote[9].start |
59.29596875 |
transcript.pyannote[9].end |
59.38034375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
76.52534375 |
transcript.pyannote[10].end |
76.66034375 |
transcript.pyannote[11].speaker |
SPEAKER_04 |
transcript.pyannote[11].start |
76.66034375 |
transcript.pyannote[11].end |
76.71096875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
76.71096875 |
transcript.pyannote[12].end |
76.81221875 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
97.07909375 |
transcript.pyannote[13].end |
100.65659375 |
transcript.pyannote[14].speaker |
SPEAKER_04 |
transcript.pyannote[14].start |
100.60596875 |
transcript.pyannote[14].end |
100.75784375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
100.75784375 |
transcript.pyannote[15].end |
101.77034375 |
transcript.pyannote[16].speaker |
SPEAKER_04 |
transcript.pyannote[16].start |
100.77471875 |
transcript.pyannote[16].end |
100.82534375 |
transcript.pyannote[17].speaker |
SPEAKER_04 |
transcript.pyannote[17].start |
101.83784375 |
transcript.pyannote[17].end |
106.83284375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
103.40721875 |
transcript.pyannote[18].end |
103.69409375 |
transcript.pyannote[19].speaker |
SPEAKER_01 |
transcript.pyannote[19].start |
105.41534375 |
transcript.pyannote[19].end |
132.95534375 |
transcript.pyannote[20].speaker |
SPEAKER_04 |
transcript.pyannote[20].start |
107.87909375 |
transcript.pyannote[20].end |
108.25034375 |
transcript.pyannote[21].speaker |
SPEAKER_04 |
transcript.pyannote[21].start |
110.84909375 |
transcript.pyannote[21].end |
110.96721875 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
124.93971875 |
transcript.pyannote[22].end |
125.31096875 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
130.62659375 |
transcript.pyannote[23].end |
130.89659375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
133.34346875 |
transcript.pyannote[24].end |
146.74221875 |
transcript.pyannote[25].speaker |
SPEAKER_04 |
transcript.pyannote[25].start |
141.47721875 |
transcript.pyannote[25].end |
141.66284375 |
transcript.pyannote[26].speaker |
SPEAKER_04 |
transcript.pyannote[26].start |
147.24846875 |
transcript.pyannote[26].end |
148.48034375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
149.13846875 |
transcript.pyannote[27].end |
152.59784375 |
transcript.pyannote[28].speaker |
SPEAKER_04 |
transcript.pyannote[28].start |
152.73284375 |
transcript.pyannote[28].end |
155.24721875 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
153.40784375 |
transcript.pyannote[29].end |
154.25159375 |
transcript.pyannote[30].speaker |
SPEAKER_04 |
transcript.pyannote[30].start |
155.65221875 |
transcript.pyannote[30].end |
158.45346875 |
transcript.pyannote[31].speaker |
SPEAKER_01 |
transcript.pyannote[31].start |
158.36909375 |
transcript.pyannote[31].end |
160.41096875 |
transcript.pyannote[32].speaker |
SPEAKER_04 |
transcript.pyannote[32].start |
159.34784375 |
transcript.pyannote[32].end |
160.20846875 |
transcript.pyannote[33].speaker |
SPEAKER_04 |
transcript.pyannote[33].start |
160.86659375 |
transcript.pyannote[33].end |
162.65534375 |
transcript.pyannote[34].speaker |
SPEAKER_04 |
transcript.pyannote[34].start |
163.93784375 |
transcript.pyannote[34].end |
170.80596875 |
transcript.pyannote[35].speaker |
SPEAKER_04 |
transcript.pyannote[35].start |
171.44721875 |
transcript.pyannote[35].end |
176.77971875 |
transcript.pyannote[36].speaker |
SPEAKER_03 |
transcript.pyannote[36].start |
177.53909375 |
transcript.pyannote[36].end |
177.55596875 |
transcript.pyannote[37].speaker |
SPEAKER_04 |
transcript.pyannote[37].start |
177.55596875 |
transcript.pyannote[37].end |
182.36534375 |
transcript.pyannote[38].speaker |
SPEAKER_03 |
transcript.pyannote[38].start |
178.97346875 |
transcript.pyannote[38].end |
179.37846875 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
179.37846875 |
transcript.pyannote[39].end |
179.46284375 |
transcript.pyannote[40].speaker |
SPEAKER_04 |
transcript.pyannote[40].start |
182.97284375 |
transcript.pyannote[40].end |
185.84159375 |
transcript.pyannote[41].speaker |
SPEAKER_04 |
transcript.pyannote[41].start |
185.87534375 |
transcript.pyannote[41].end |
186.44909375 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
186.07784375 |
transcript.pyannote[42].end |
186.29721875 |
transcript.pyannote[43].speaker |
SPEAKER_04 |
transcript.pyannote[43].start |
187.20846875 |
transcript.pyannote[43].end |
187.44471875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
187.30971875 |
transcript.pyannote[44].end |
207.08721875 |
transcript.pyannote[45].speaker |
SPEAKER_04 |
transcript.pyannote[45].start |
191.29221875 |
transcript.pyannote[45].end |
191.51159375 |
transcript.pyannote[46].speaker |
SPEAKER_04 |
transcript.pyannote[46].start |
195.12284375 |
transcript.pyannote[46].end |
195.40971875 |
transcript.pyannote[47].speaker |
SPEAKER_02 |
transcript.pyannote[47].start |
195.40971875 |
transcript.pyannote[47].end |
195.44346875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
198.43034375 |
transcript.pyannote[48].end |
198.70034375 |
transcript.pyannote[49].speaker |
SPEAKER_04 |
transcript.pyannote[49].start |
207.08721875 |
transcript.pyannote[49].end |
209.06159375 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
207.15471875 |
transcript.pyannote[50].end |
208.63971875 |
transcript.pyannote[51].speaker |
SPEAKER_04 |
transcript.pyannote[51].start |
209.53409375 |
transcript.pyannote[51].end |
212.63909375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
212.63909375 |
transcript.pyannote[52].end |
213.48284375 |
transcript.pyannote[53].speaker |
SPEAKER_04 |
transcript.pyannote[53].start |
213.48284375 |
transcript.pyannote[53].end |
215.30534375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
214.12409375 |
transcript.pyannote[54].end |
243.45284375 |
transcript.pyannote[55].speaker |
SPEAKER_04 |
transcript.pyannote[55].start |
216.11534375 |
transcript.pyannote[55].end |
216.46971875 |
transcript.pyannote[56].speaker |
SPEAKER_04 |
transcript.pyannote[56].start |
237.39471875 |
transcript.pyannote[56].end |
237.81659375 |
transcript.pyannote[57].speaker |
SPEAKER_04 |
transcript.pyannote[57].start |
241.95096875 |
transcript.pyannote[57].end |
243.92534375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
243.87471875 |
transcript.pyannote[58].end |
244.75221875 |
transcript.pyannote[59].speaker |
SPEAKER_04 |
transcript.pyannote[59].start |
244.39784375 |
transcript.pyannote[59].end |
252.17721875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
245.46096875 |
transcript.pyannote[60].end |
246.33846875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
252.05909375 |
transcript.pyannote[61].end |
252.16034375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
252.17721875 |
transcript.pyannote[62].end |
252.26159375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
252.41346875 |
transcript.pyannote[63].end |
260.88471875 |
transcript.pyannote[64].speaker |
SPEAKER_04 |
transcript.pyannote[64].start |
259.68659375 |
transcript.pyannote[64].end |
263.12909375 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
263.28096875 |
transcript.pyannote[65].end |
267.61784375 |
transcript.pyannote[66].speaker |
SPEAKER_04 |
transcript.pyannote[66].start |
267.61784375 |
transcript.pyannote[66].end |
278.51909375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
279.76784375 |
transcript.pyannote[67].end |
286.31534375 |
transcript.pyannote[68].speaker |
SPEAKER_04 |
transcript.pyannote[68].start |
280.24034375 |
transcript.pyannote[68].end |
280.79721875 |
transcript.pyannote[69].speaker |
SPEAKER_04 |
transcript.pyannote[69].start |
285.45471875 |
transcript.pyannote[69].end |
289.65659375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
286.61909375 |
transcript.pyannote[70].end |
287.09159375 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
288.81284375 |
transcript.pyannote[71].end |
294.36471875 |
transcript.pyannote[72].speaker |
SPEAKER_04 |
transcript.pyannote[72].start |
293.14971875 |
transcript.pyannote[72].end |
301.97534375 |
transcript.pyannote[73].speaker |
SPEAKER_04 |
transcript.pyannote[73].start |
302.41409375 |
transcript.pyannote[73].end |
310.37909375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
306.93659375 |
transcript.pyannote[74].end |
311.30721875 |
transcript.pyannote[75].speaker |
SPEAKER_04 |
transcript.pyannote[75].start |
311.30721875 |
transcript.pyannote[75].end |
312.42096875 |
transcript.pyannote[76].speaker |
SPEAKER_00 |
transcript.pyannote[76].start |
312.70784375 |
transcript.pyannote[76].end |
314.20971875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
314.51346875 |
transcript.pyannote[77].end |
314.53034375 |
transcript.pyannote[78].speaker |
SPEAKER_04 |
transcript.pyannote[78].start |
314.53034375 |
transcript.pyannote[78].end |
318.68159375 |
transcript.pyannote[79].speaker |
SPEAKER_04 |
transcript.pyannote[79].start |
321.06096875 |
transcript.pyannote[79].end |
321.09471875 |
transcript.pyannote[80].speaker |
SPEAKER_03 |
transcript.pyannote[80].start |
321.09471875 |
transcript.pyannote[80].end |
324.26721875 |
transcript.pyannote[81].speaker |
SPEAKER_04 |
transcript.pyannote[81].start |
321.60096875 |
transcript.pyannote[81].end |
321.87096875 |
transcript.pyannote[82].speaker |
SPEAKER_04 |
transcript.pyannote[82].start |
324.26721875 |
transcript.pyannote[82].end |
326.52846875 |
transcript.pyannote[83].speaker |
SPEAKER_04 |
transcript.pyannote[83].start |
327.13596875 |
transcript.pyannote[83].end |
335.92784375 |
transcript.pyannote[84].speaker |
SPEAKER_04 |
transcript.pyannote[84].start |
335.96159375 |
transcript.pyannote[84].end |
345.81659375 |
transcript.pyannote[85].speaker |
SPEAKER_04 |
transcript.pyannote[85].start |
345.83346875 |
transcript.pyannote[85].end |
350.23784375 |
transcript.pyannote[86].speaker |
SPEAKER_04 |
transcript.pyannote[86].start |
350.44034375 |
transcript.pyannote[86].end |
354.62534375 |
transcript.pyannote[87].speaker |
SPEAKER_04 |
transcript.pyannote[87].start |
355.40159375 |
transcript.pyannote[87].end |
356.88659375 |
transcript.pyannote[88].speaker |
SPEAKER_04 |
transcript.pyannote[88].start |
357.13971875 |
transcript.pyannote[88].end |
359.38409375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
360.98721875 |
transcript.pyannote[89].end |
380.83221875 |
transcript.pyannote[90].speaker |
SPEAKER_04 |
transcript.pyannote[90].start |
364.58159375 |
transcript.pyannote[90].end |
364.76721875 |
transcript.pyannote[91].speaker |
SPEAKER_04 |
transcript.pyannote[91].start |
364.88534375 |
transcript.pyannote[91].end |
364.98659375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
364.98659375 |
transcript.pyannote[92].end |
365.02034375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
367.53471875 |
transcript.pyannote[93].end |
367.55159375 |
transcript.pyannote[94].speaker |
SPEAKER_04 |
transcript.pyannote[94].start |
367.55159375 |
transcript.pyannote[94].end |
367.65284375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
367.65284375 |
transcript.pyannote[95].end |
367.85534375 |
transcript.pyannote[96].speaker |
SPEAKER_04 |
transcript.pyannote[96].start |
381.03471875 |
transcript.pyannote[96].end |
384.94971875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
385.99596875 |
transcript.pyannote[97].end |
388.84784375 |
transcript.pyannote[98].speaker |
SPEAKER_04 |
transcript.pyannote[98].start |
388.84784375 |
transcript.pyannote[98].end |
391.27784375 |
transcript.pyannote[99].speaker |
SPEAKER_04 |
transcript.pyannote[99].start |
391.78409375 |
transcript.pyannote[99].end |
398.02784375 |
transcript.pyannote[100].speaker |
SPEAKER_04 |
transcript.pyannote[100].start |
398.09534375 |
transcript.pyannote[100].end |
399.39471875 |
transcript.pyannote[101].speaker |
SPEAKER_04 |
transcript.pyannote[101].start |
400.06971875 |
transcript.pyannote[101].end |
401.43659375 |
transcript.pyannote[102].speaker |
SPEAKER_04 |
transcript.pyannote[102].start |
401.99346875 |
transcript.pyannote[102].end |
404.25471875 |
transcript.pyannote[103].speaker |
SPEAKER_04 |
transcript.pyannote[103].start |
404.47409375 |
transcript.pyannote[103].end |
406.51596875 |
transcript.pyannote[104].speaker |
SPEAKER_03 |
transcript.pyannote[104].start |
406.51596875 |
transcript.pyannote[104].end |
406.54971875 |
transcript.pyannote[105].speaker |
SPEAKER_03 |
transcript.pyannote[105].start |
406.95471875 |
transcript.pyannote[105].end |
425.26409375 |
transcript.pyannote[106].speaker |
SPEAKER_04 |
transcript.pyannote[106].start |
422.98596875 |
transcript.pyannote[106].end |
424.15034375 |
transcript.pyannote[107].speaker |
SPEAKER_03 |
transcript.pyannote[107].start |
425.43284375 |
transcript.pyannote[107].end |
433.90409375 |
transcript.pyannote[108].speaker |
SPEAKER_02 |
transcript.pyannote[108].start |
427.50846875 |
transcript.pyannote[108].end |
427.52534375 |
transcript.pyannote[109].speaker |
SPEAKER_04 |
transcript.pyannote[109].start |
427.52534375 |
transcript.pyannote[109].end |
427.82909375 |
transcript.pyannote[110].speaker |
SPEAKER_02 |
transcript.pyannote[110].start |
427.82909375 |
transcript.pyannote[110].end |
427.89659375 |
transcript.pyannote[111].speaker |
SPEAKER_02 |
transcript.pyannote[111].start |
433.90409375 |
transcript.pyannote[111].end |
434.03909375 |
transcript.pyannote[112].speaker |
SPEAKER_03 |
transcript.pyannote[112].start |
434.03909375 |
transcript.pyannote[112].end |
439.00034375 |
transcript.pyannote[113].speaker |
SPEAKER_03 |
transcript.pyannote[113].start |
439.11846875 |
transcript.pyannote[113].end |
440.99159375 |
transcript.pyannote[114].speaker |
SPEAKER_02 |
transcript.pyannote[114].start |
439.32096875 |
transcript.pyannote[114].end |
439.38846875 |
transcript.pyannote[115].speaker |
SPEAKER_03 |
transcript.pyannote[115].start |
441.27846875 |
transcript.pyannote[115].end |
450.44159375 |
transcript.pyannote[116].speaker |
SPEAKER_04 |
transcript.pyannote[116].start |
450.44159375 |
transcript.pyannote[116].end |
450.49221875 |
transcript.pyannote[117].speaker |
SPEAKER_03 |
transcript.pyannote[117].start |
450.49221875 |
transcript.pyannote[117].end |
451.16721875 |
transcript.pyannote[118].speaker |
SPEAKER_04 |
transcript.pyannote[118].start |
450.50909375 |
transcript.pyannote[118].end |
456.65159375 |
transcript.pyannote[119].speaker |
SPEAKER_03 |
transcript.pyannote[119].start |
451.48784375 |
transcript.pyannote[119].end |
451.84221875 |
transcript.pyannote[120].speaker |
SPEAKER_04 |
transcript.pyannote[120].start |
457.83284375 |
transcript.pyannote[120].end |
461.96721875 |
transcript.pyannote[121].speaker |
SPEAKER_02 |
transcript.pyannote[121].start |
459.82409375 |
transcript.pyannote[121].end |
460.61721875 |
transcript.pyannote[122].speaker |
SPEAKER_02 |
transcript.pyannote[122].start |
462.25409375 |
transcript.pyannote[122].end |
466.40534375 |
transcript.pyannote[123].speaker |
SPEAKER_02 |
transcript.pyannote[123].start |
466.60784375 |
transcript.pyannote[123].end |
467.14784375 |
transcript.pyannote[124].speaker |
SPEAKER_02 |
transcript.pyannote[124].start |
467.21534375 |
transcript.pyannote[124].end |
481.84596875 |
transcript.pyannote[125].speaker |
SPEAKER_04 |
transcript.pyannote[125].start |
481.84596875 |
transcript.pyannote[125].end |
485.06909375 |
transcript.pyannote[126].speaker |
SPEAKER_02 |
transcript.pyannote[126].start |
482.55471875 |
transcript.pyannote[126].end |
482.92596875 |
transcript.pyannote[127].speaker |
SPEAKER_02 |
transcript.pyannote[127].start |
484.98471875 |
transcript.pyannote[127].end |
486.43596875 |
transcript.pyannote[128].speaker |
SPEAKER_04 |
transcript.pyannote[128].start |
485.92971875 |
transcript.pyannote[128].end |
488.20784375 |
transcript.pyannote[129].speaker |
SPEAKER_02 |
transcript.pyannote[129].start |
487.83659375 |
transcript.pyannote[129].end |
493.52346875 |
transcript.pyannote[130].speaker |
SPEAKER_04 |
transcript.pyannote[130].start |
489.08534375 |
transcript.pyannote[130].end |
489.25409375 |
transcript.pyannote[131].speaker |
SPEAKER_04 |
transcript.pyannote[131].start |
492.27471875 |
transcript.pyannote[131].end |
492.67971875 |
transcript.pyannote[132].speaker |
SPEAKER_04 |
transcript.pyannote[132].start |
493.65846875 |
transcript.pyannote[132].end |
503.64846875 |
transcript.pyannote[133].speaker |
SPEAKER_02 |
transcript.pyannote[133].start |
503.64846875 |
transcript.pyannote[133].end |
504.10409375 |
transcript.pyannote[134].speaker |
SPEAKER_04 |
transcript.pyannote[134].start |
503.96909375 |
transcript.pyannote[134].end |
507.19221875 |
transcript.pyannote[135].speaker |
SPEAKER_04 |
transcript.pyannote[135].start |
507.69846875 |
transcript.pyannote[135].end |
511.09034375 |
transcript.pyannote[136].speaker |
SPEAKER_04 |
transcript.pyannote[136].start |
511.19159375 |
transcript.pyannote[136].end |
511.20846875 |
transcript.pyannote[137].speaker |
SPEAKER_04 |
transcript.pyannote[137].start |
511.22534375 |
transcript.pyannote[137].end |
515.83221875 |
transcript.pyannote[138].speaker |
SPEAKER_02 |
transcript.pyannote[138].start |
516.23721875 |
transcript.pyannote[138].end |
523.32471875 |
transcript.pyannote[139].speaker |
SPEAKER_04 |
transcript.pyannote[139].start |
520.03409375 |
transcript.pyannote[139].end |
520.42221875 |
transcript.pyannote[140].speaker |
SPEAKER_04 |
transcript.pyannote[140].start |
522.16034375 |
transcript.pyannote[140].end |
522.56534375 |
transcript.pyannote[141].speaker |
SPEAKER_02 |
transcript.pyannote[141].start |
523.62846875 |
transcript.pyannote[141].end |
547.62471875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
527.47596875 |
transcript.pyannote[142].end |
527.86409375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
533.48346875 |
transcript.pyannote[143].end |
533.51721875 |
transcript.pyannote[144].speaker |
SPEAKER_04 |
transcript.pyannote[144].start |
540.40221875 |
transcript.pyannote[144].end |
540.41909375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
540.41909375 |
transcript.pyannote[145].end |
540.43596875 |
transcript.pyannote[146].speaker |
SPEAKER_04 |
transcript.pyannote[146].start |
540.43596875 |
transcript.pyannote[146].end |
540.65534375 |
transcript.pyannote[147].speaker |
SPEAKER_04 |
transcript.pyannote[147].start |
544.63784375 |
transcript.pyannote[147].end |
545.27909375 |
transcript.pyannote[148].speaker |
SPEAKER_04 |
transcript.pyannote[148].start |
546.54471875 |
transcript.pyannote[148].end |
549.64971875 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
550.18971875 |
transcript.pyannote[149].end |
558.30659375 |
transcript.pyannote[150].speaker |
SPEAKER_04 |
transcript.pyannote[150].start |
550.91534375 |
transcript.pyannote[150].end |
551.06721875 |
transcript.pyannote[151].speaker |
SPEAKER_04 |
transcript.pyannote[151].start |
558.62721875 |
transcript.pyannote[151].end |
575.02971875 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
564.48284375 |
transcript.pyannote[152].end |
565.14096875 |
transcript.pyannote[153].speaker |
SPEAKER_04 |
transcript.pyannote[153].start |
575.23221875 |
transcript.pyannote[153].end |
575.70471875 |
transcript.pyannote[154].speaker |
SPEAKER_04 |
transcript.pyannote[154].start |
575.89034375 |
transcript.pyannote[154].end |
576.78471875 |
transcript.pyannote[155].speaker |
SPEAKER_04 |
transcript.pyannote[155].start |
577.13909375 |
transcript.pyannote[155].end |
581.98221875 |
transcript.pyannote[156].speaker |
SPEAKER_03 |
transcript.pyannote[156].start |
583.66971875 |
transcript.pyannote[156].end |
596.25846875 |
transcript.pyannote[157].speaker |
SPEAKER_04 |
transcript.pyannote[157].start |
592.46159375 |
transcript.pyannote[157].end |
592.76534375 |
transcript.pyannote[158].speaker |
SPEAKER_04 |
transcript.pyannote[158].start |
594.21659375 |
transcript.pyannote[158].end |
595.68471875 |
transcript.pyannote[159].speaker |
SPEAKER_03 |
transcript.pyannote[159].start |
596.89971875 |
transcript.pyannote[159].end |
597.54096875 |
transcript.pyannote[160].speaker |
SPEAKER_03 |
transcript.pyannote[160].start |
597.67596875 |
transcript.pyannote[160].end |
601.32096875 |
transcript.pyannote[161].speaker |
SPEAKER_04 |
transcript.pyannote[161].start |
597.87846875 |
transcript.pyannote[161].end |
598.23284375 |
transcript.pyannote[162].speaker |
SPEAKER_04 |
transcript.pyannote[162].start |
599.38034375 |
transcript.pyannote[162].end |
599.58284375 |
transcript.pyannote[163].speaker |
SPEAKER_04 |
transcript.pyannote[163].start |
601.32096875 |
transcript.pyannote[163].end |
606.83909375 |
transcript.pyannote[164].speaker |
SPEAKER_03 |
transcript.pyannote[164].start |
601.35471875 |
transcript.pyannote[164].end |
602.16471875 |
transcript.pyannote[165].speaker |
SPEAKER_04 |
transcript.pyannote[165].start |
606.95721875 |
transcript.pyannote[165].end |
609.35346875 |
transcript.pyannote[166].speaker |
SPEAKER_04 |
transcript.pyannote[166].start |
609.62346875 |
transcript.pyannote[166].end |
614.04471875 |
transcript.pyannote[167].speaker |
SPEAKER_03 |
transcript.pyannote[167].start |
611.09159375 |
transcript.pyannote[167].end |
612.44159375 |
transcript.pyannote[168].speaker |
SPEAKER_03 |
transcript.pyannote[168].start |
613.77471875 |
transcript.pyannote[168].end |
620.10284375 |
transcript.pyannote[169].speaker |
SPEAKER_04 |
transcript.pyannote[169].start |
614.97284375 |
transcript.pyannote[169].end |
615.17534375 |
transcript.pyannote[170].speaker |
SPEAKER_03 |
transcript.pyannote[170].start |
620.30534375 |
transcript.pyannote[170].end |
621.04784375 |
transcript.pyannote[171].speaker |
SPEAKER_03 |
transcript.pyannote[171].start |
621.65534375 |
transcript.pyannote[171].end |
625.01346875 |
transcript.pyannote[172].speaker |
SPEAKER_04 |
transcript.pyannote[172].start |
622.76909375 |
transcript.pyannote[172].end |
622.80284375 |
transcript.pyannote[173].speaker |
SPEAKER_04 |
transcript.pyannote[173].start |
623.20784375 |
transcript.pyannote[173].end |
629.99159375 |
transcript.pyannote[174].speaker |
SPEAKER_03 |
transcript.pyannote[174].start |
629.50221875 |
transcript.pyannote[174].end |
634.02471875 |
transcript.pyannote[175].speaker |
SPEAKER_04 |
transcript.pyannote[175].start |
631.44284375 |
transcript.pyannote[175].end |
633.23159375 |
transcript.pyannote[176].speaker |
SPEAKER_04 |
transcript.pyannote[176].start |
634.02471875 |
transcript.pyannote[176].end |
640.16721875 |
transcript.pyannote[177].speaker |
SPEAKER_04 |
transcript.pyannote[177].start |
640.43721875 |
transcript.pyannote[177].end |
646.57971875 |
transcript.pyannote[178].speaker |
SPEAKER_03 |
transcript.pyannote[178].start |
646.57971875 |
transcript.pyannote[178].end |
653.78534375 |
transcript.pyannote[179].speaker |
SPEAKER_04 |
transcript.pyannote[179].start |
648.60471875 |
transcript.pyannote[179].end |
648.70596875 |
transcript.pyannote[180].speaker |
SPEAKER_03 |
transcript.pyannote[180].start |
654.32534375 |
transcript.pyannote[180].end |
662.47596875 |
transcript.pyannote[181].speaker |
SPEAKER_04 |
transcript.pyannote[181].start |
657.36284375 |
transcript.pyannote[181].end |
658.24034375 |
transcript.pyannote[182].speaker |
SPEAKER_04 |
transcript.pyannote[182].start |
661.31159375 |
transcript.pyannote[182].end |
661.83471875 |
transcript.pyannote[183].speaker |
SPEAKER_04 |
transcript.pyannote[183].start |
662.47596875 |
transcript.pyannote[183].end |
669.98534375 |
transcript.pyannote[184].speaker |
SPEAKER_04 |
transcript.pyannote[184].start |
670.50846875 |
transcript.pyannote[184].end |
677.08971875 |
transcript.pyannote[185].speaker |
SPEAKER_04 |
transcript.pyannote[185].start |
677.96721875 |
transcript.pyannote[185].end |
698.94284375 |
transcript.pyannote[186].speaker |
SPEAKER_04 |
transcript.pyannote[186].start |
699.29721875 |
transcript.pyannote[186].end |
700.42784375 |
transcript.pyannote[187].speaker |
SPEAKER_04 |
transcript.pyannote[187].start |
700.78221875 |
transcript.pyannote[187].end |
703.58346875 |
transcript.pyannote[188].speaker |
SPEAKER_04 |
transcript.pyannote[188].start |
703.78596875 |
transcript.pyannote[188].end |
705.25409375 |
transcript.pyannote[189].speaker |
SPEAKER_01 |
transcript.pyannote[189].start |
706.33409375 |
transcript.pyannote[189].end |
707.63346875 |
transcript.pyannote[190].speaker |
SPEAKER_04 |
transcript.pyannote[190].start |
707.54909375 |
transcript.pyannote[190].end |
707.59971875 |
transcript.pyannote[191].speaker |
SPEAKER_04 |
transcript.pyannote[191].start |
707.63346875 |
transcript.pyannote[191].end |
707.78534375 |
transcript.pyannote[192].speaker |
SPEAKER_01 |
transcript.pyannote[192].start |
707.78534375 |
transcript.pyannote[192].end |
713.30346875 |
transcript.pyannote[193].speaker |
SPEAKER_00 |
transcript.pyannote[193].start |
713.21909375 |
transcript.pyannote[193].end |
713.23596875 |
transcript.pyannote[194].speaker |
SPEAKER_04 |
transcript.pyannote[194].start |
713.23596875 |
transcript.pyannote[194].end |
713.26971875 |
transcript.pyannote[195].speaker |
SPEAKER_04 |
transcript.pyannote[195].start |
713.30346875 |
transcript.pyannote[195].end |
713.38784375 |
transcript.pyannote[196].speaker |
SPEAKER_01 |
transcript.pyannote[196].start |
713.38784375 |
transcript.pyannote[196].end |
718.66971875 |
transcript.pyannote[197].speaker |
SPEAKER_04 |
transcript.pyannote[197].start |
713.40471875 |
transcript.pyannote[197].end |
713.42159375 |
transcript.pyannote[198].speaker |
SPEAKER_00 |
transcript.pyannote[198].start |
713.42159375 |
transcript.pyannote[198].end |
713.50596875 |
transcript.pyannote[199].speaker |
SPEAKER_04 |
transcript.pyannote[199].start |
718.51784375 |
transcript.pyannote[199].end |
719.26034375 |
transcript.pyannote[200].speaker |
SPEAKER_01 |
transcript.pyannote[200].start |
719.26034375 |
transcript.pyannote[200].end |
719.78346875 |
transcript.pyannote[201].speaker |
SPEAKER_04 |
transcript.pyannote[201].start |
719.81721875 |
transcript.pyannote[201].end |
720.13784375 |
transcript.pyannote[202].speaker |
SPEAKER_04 |
transcript.pyannote[202].start |
720.28971875 |
transcript.pyannote[202].end |
721.52159375 |
transcript.pyannote[203].speaker |
SPEAKER_04 |
transcript.pyannote[203].start |
721.80846875 |
transcript.pyannote[203].end |
722.46659375 |
transcript.pyannote[204].speaker |
SPEAKER_04 |
transcript.pyannote[204].start |
722.66909375 |
transcript.pyannote[204].end |
725.16659375 |
transcript.pyannote[205].speaker |
SPEAKER_04 |
transcript.pyannote[205].start |
727.29284375 |
transcript.pyannote[205].end |
728.59221875 |
transcript.pyannote[206].speaker |
SPEAKER_03 |
transcript.pyannote[206].start |
727.88346875 |
transcript.pyannote[206].end |
728.30534375 |
transcript.pyannote[207].speaker |
SPEAKER_03 |
transcript.pyannote[207].start |
730.70159375 |
transcript.pyannote[207].end |
736.42221875 |
transcript.pyannote[208].speaker |
SPEAKER_04 |
transcript.pyannote[208].start |
736.42221875 |
transcript.pyannote[208].end |
736.43909375 |
transcript.pyannote[209].speaker |
SPEAKER_03 |
transcript.pyannote[209].start |
736.64159375 |
transcript.pyannote[209].end |
737.97471875 |
transcript.pyannote[210].speaker |
SPEAKER_04 |
transcript.pyannote[210].start |
737.97471875 |
transcript.pyannote[210].end |
748.47096875 |
transcript.pyannote[211].speaker |
SPEAKER_04 |
transcript.pyannote[211].start |
749.41596875 |
transcript.pyannote[211].end |
751.54221875 |
transcript.pyannote[212].speaker |
SPEAKER_04 |
transcript.pyannote[212].start |
752.62221875 |
transcript.pyannote[212].end |
754.64721875 |
transcript.pyannote[213].speaker |
SPEAKER_04 |
transcript.pyannote[213].start |
754.90034375 |
transcript.pyannote[213].end |
755.57534375 |
transcript.pyannote[214].speaker |
SPEAKER_04 |
transcript.pyannote[214].start |
755.86221875 |
transcript.pyannote[214].end |
759.70971875 |
transcript.pyannote[215].speaker |
SPEAKER_03 |
transcript.pyannote[215].start |
758.17409375 |
transcript.pyannote[215].end |
758.44409375 |
transcript.pyannote[216].speaker |
SPEAKER_03 |
transcript.pyannote[216].start |
759.97971875 |
transcript.pyannote[216].end |
762.71346875 |
transcript.pyannote[217].speaker |
SPEAKER_04 |
transcript.pyannote[217].start |
760.09784375 |
transcript.pyannote[217].end |
760.94159375 |
transcript.pyannote[218].speaker |
SPEAKER_04 |
transcript.pyannote[218].start |
761.63346875 |
transcript.pyannote[218].end |
762.74721875 |
transcript.pyannote[219].speaker |
SPEAKER_03 |
transcript.pyannote[219].start |
762.74721875 |
transcript.pyannote[219].end |
762.93284375 |
transcript.pyannote[220].speaker |
SPEAKER_04 |
transcript.pyannote[220].start |
762.93284375 |
transcript.pyannote[220].end |
762.94971875 |
transcript.pyannote[221].speaker |
SPEAKER_03 |
transcript.pyannote[221].start |
763.28721875 |
transcript.pyannote[221].end |
763.32096875 |
transcript.pyannote[222].speaker |
SPEAKER_04 |
transcript.pyannote[222].start |
763.32096875 |
transcript.pyannote[222].end |
763.54034375 |
transcript.pyannote[223].speaker |
SPEAKER_03 |
transcript.pyannote[223].start |
763.54034375 |
transcript.pyannote[223].end |
765.49784375 |
transcript.pyannote[224].speaker |
SPEAKER_04 |
transcript.pyannote[224].start |
765.49784375 |
transcript.pyannote[224].end |
790.47284375 |
transcript.pyannote[225].speaker |
SPEAKER_00 |
transcript.pyannote[225].start |
779.67284375 |
transcript.pyannote[225].end |
779.80784375 |
transcript.pyannote[226].speaker |
SPEAKER_03 |
transcript.pyannote[226].start |
786.96284375 |
transcript.pyannote[226].end |
787.23284375 |
transcript.pyannote[227].speaker |
SPEAKER_03 |
transcript.pyannote[227].start |
790.28721875 |
transcript.pyannote[227].end |
792.36284375 |
transcript.pyannote[228].speaker |
SPEAKER_04 |
transcript.pyannote[228].start |
792.36284375 |
transcript.pyannote[228].end |
793.86471875 |
transcript.whisperx[0].start |
8.844 |
transcript.whisperx[0].end |
17.009 |
transcript.whisperx[0].text |
謝謝主席那我們請這個司法院的副秘書長馬文副秘然後法務部的次長 衛福部的次長兩位次長 |
transcript.whisperx[1].start |
24.229 |
transcript.whisperx[1].end |
50.847 |
transcript.whisperx[1].text |
今天我們談論這個主題那當然主要事發是 主因是在7月7號塗成這個不訓練這個事件那這件事情其實大家都知道那我現在想請問一下包括我們社法院法務部還有衛福部如果啦 如果有機會阻止悲劇的話現在你們來想當時候在做哪些的一些程序 哪些措施如果做下去的話有可能防止這個悲劇來發生 |
transcript.whisperx[2].start |
52.13 |
transcript.whisperx[2].end |
53.423 |
transcript.whisperx[2].text |
我們先請那個副秘書長好不好 |
transcript.whisperx[3].start |
57.491 |
transcript.whisperx[3].end |
85.354 |
transcript.whisperx[3].text |
跟委員那個報告就是有關於那個家暴那個防治呢他是一個全網絡的就是他連結各機關那就是說從一剛開始譬如說他合法保護令的時候他一定要有充分的那個資訊給那個法院所以呢就是說像那個警政機關他們那個家防官或者是說主管機關他們那個社工呢就是對於評估要很精準的去評估說這個個案他是不是屬於一個高風險的那個個案 |
transcript.whisperx[4].start |
85.874 |
transcript.whisperx[4].end |
101.456 |
transcript.whisperx[4].text |
那也因此就是說他的這個其實現在都已經有相關的這一些那個評估的那個量表了就是說這些要非常那個精準的把這個風險因子把它給那個抓出來那像譬如說 |
transcript.whisperx[5].start |
101.877 |
transcript.whisperx[5].end |
131.58 |
transcript.whisperx[5].text |
但是我覺得就這件來講當初是有哪些環節疏忽掉的在法院這部分我現在要連結講就是說像這一件進到法院來的時候事實上我們開庭所有的相關的措施就是保護措施什麼隔離之類的都做了那當時7月7號當天就是說被害人他離開的時候也有護送他社工有護送他坐計程車離開了那所以說其實在法院端這些該做的都做了那就是 |
transcript.whisperx[6].start |
133.421 |
transcript.whisperx[6].end |
147.806 |
transcript.whisperx[6].text |
但是我要提到一點就是連結到剛剛那個就是說他這一件當時事實上法院涉案的時候他的這個風險的那個評估量表事實上這上面所評估的那個風險那個分數事實上是不高的那這是由誰來寫的 |
transcript.whisperx[7].start |
149.378 |
transcript.whisperx[7].end |
159.995 |
transcript.whisperx[7].text |
這是由那個家防官家防官來寫的那家防官是比如說是這個被害人他的陳述嗎警政機關警政機關警政機關他來看 |
transcript.whisperx[8].start |
163.993 |
transcript.whisperx[8].end |
185.564 |
transcript.whisperx[8].text |
那個受害者他的被害人他的陳述嗎那還是這一個警政機關他們怎麼樣去去做這件事情那次長要那個學次長要做個說明嗎還是警政署要做個說明這一個是警政署的警政署因為剛剛複密有提到這一塊因為我想說有哪些環節可以把它補起來的啦 |
transcript.whisperx[9].start |
187.767 |
transcript.whisperx[9].end |
208.683 |
transcript.whisperx[9].text |
我跟委員報告一下這個親密關係的這個危險評估表我們叫TIDA量表它有八項是要詢問被害人自己的感受那有五項是被害人自行陳述他是不是覺得有危險的狀況那它這個八項裡面呢都是很具體的譬如說對方是不是有曾經做出一些危險或動作傷害當初的被害人 |
transcript.whisperx[10].start |
209.625 |
transcript.whisperx[10].end |
216.487 |
transcript.whisperx[10].text |
在這個陳述裡面這個量表裡面所陳述出來的是很低的是很低的是很低的初期的時候是很低一直到7月2號因為他前幾天這個發生有這個槍隊人對他還有一些打電話騷擾他或者是有一些騷擾這個到他的工作場所去騷擾的動作他又重複再去報案的時候他自己的評估的這個危險程度就很高 |
transcript.whisperx[11].start |
237.632 |
transcript.whisperx[11].end |
260.912 |
transcript.whisperx[11].text |
所以那個時候我們就把他通報成是一個高風險的個案所以當時候有通報通報給社政系統那法院或是說檢察官那邊知道這個情況嗎如果在這個通報的階段是還沒有進入到法院或者是檢察官因為他這個案子在初期五月份受理的時候那這個斷層就在這邊有出現了一個啦 |
transcript.whisperx[12].start |
263.615 |
transcript.whisperx[12].end |
275.951 |
transcript.whisperx[12].text |
不是因為他這個案子初期的時候已經有申請保護令在等待審核對 我是說後來當這個受害人他說這個已經你們也認為說他是屬於高風險了但是呢在法院端或是說檢察官那邊還沒有得到這個訊息 |
transcript.whisperx[13].start |
280.373 |
transcript.whisperx[13].end |
301.486 |
transcript.whisperx[13].text |
高危機的個案就是進入社政系統的評估跟我們在保護令執行的對 只有到社政系統而已但是還沒有到法院端還沒有到檢察官那邊到法院端就是我們依照它違反保護令罪的狀況我們再調查之後再搜最新的那個情況就是說剛開始被害人可能覺得說風險沒那麼高但是後來風險有提高了嘛 |
transcript.whisperx[14].start |
302.466 |
transcript.whisperx[14].end |
311.458 |
transcript.whisperx[14].text |
那風險提高之後我要說的就是說除了社政單位知道之外然後在法院在檢察官那邊是哪時候那所以檢察官知道這個訊息嗎 |
transcript.whisperx[15].start |
321.092 |
transcript.whisperx[15].end |
346.558 |
transcript.whisperx[15].text |
沒有 這個案子到7月7號我們才拿到相關的資料對啊 那所以就是斷層就是在這邊嘛我這樣問啦 就是說大家都在這邊嘛那斷層就在這邊 就是當受害人他已經覺得說這一個他的先生 這個謝姓男子已經對他造成一些高風險的一些 有可能一些傷害的可能性那但是呢 在法院或是在檢察官這邊沒有得到這個訊息 |
transcript.whisperx[16].start |
347.518 |
transcript.whisperx[16].end |
359.021 |
transcript.whisperx[16].text |
他只有通報到 社政系統所以我在想說這個 當你們知道這個訊息之後你們要怎麼樣通報目前是這條線是沒有那還是說有 但是你們沒有去做咧 |
transcript.whisperx[17].start |
361.295 |
transcript.whisperx[17].end |
384.779 |
transcript.whisperx[17].text |
這個部分因為它涉及到地檢署的管轄不同土城分局的這個案子我們第一階段已經處理了但是後來到工作場所去騷擾的時候是台北市所以我們台北市是報台北市的檢察官指揮那是在7月2號所以這個部分我們有通報但是這個地檢署的管轄不同那所以說你有通報給台北地檢署 |
transcript.whisperx[18].start |
388.774 |
transcript.whisperx[18].end |
405.788 |
transcript.whisperx[18].text |
所以這樣問起來這個就是一個問題了啊就是說當你們知道說這個風險增加的時候但是在檢察官或是在法院這邊並不知道這件事情我這樣聽起來是這樣子嘛那我再請教一下徐次長那這件事情呢你們有做過檢討嗎 |
transcript.whisperx[19].start |
407.174 |
transcript.whisperx[19].end |
424.684 |
transcript.whisperx[19].text |
有 我想我們最主要是有兩點第一個就是我們剛才問的這些網絡的夥伴一定要建立高風險評估機制我們各部會資訊要及時能夠串接以提供給檢察官這件事情來講 |
transcript.whisperx[20].start |
425.644 |
transcript.whisperx[20].end |
453.617 |
transcript.whisperx[20].text |
對就是事後檢討就是這樣就是說我們現在就是你們有這個狀況的話一定要趕快通報告把相關的資料每一次只要聯繫檢察官的時候一定要把所有的資料都附在裡面包括7月6號那一天有他毀損的時候你用違反保護令罪過來的時候你相關的評估報告跟所有的事證都要附在那一個案子裡面就現在沒有那時候當時是沒有沒有沒有附所以你們也不知道不知道 |
transcript.whisperx[21].start |
454.517 |
transcript.whisperx[21].end |
481.996 |
transcript.whisperx[21].text |
好 那我請一下那個衛福部 我們市長那這件事情 因為你們前幾天也開過會嘛是 沒錯那對這件事情呢對 沒錯 確實就誠如剛剛許市長剛剛所說我們現在認為就是說確實這一整個我們當然是設政 可是裡面有包括警察還有包括這一 就是警察同仁還有檢察官這邊剛剛說的整個資料串接啦這個部分我覺得是我們事後檢討我們認為應該要趕快來補期的部分所以這個 |
transcript.whisperx[22].start |
484.318 |
transcript.whisperx[22].end |
504.038 |
transcript.whisperx[22].text |
這個斷層就發生了 訊息之間彼此沒有流通啊對 沒錯 沒錯 就高風險的這一個通報啦 通報的情況好 那我再請問一下 現在就是說按照資料來講 有這個發給保護令之後有八成的加害人沒有再有肢體的暴力但是還是有兩層 還是有兩層 那這兩層的話你們要怎麼樣去做 |
transcript.whisperx[23].start |
507.922 |
transcript.whisperx[23].end |
522.058 |
transcript.whisperx[23].text |
處理就是說能夠讓已經合法保護令之後我們還是希望說加害人的這些肢體暴力的行為能夠降到最低其實剛剛有提到就是說第61條其實我們現在目前是說三年以下其實 |
transcript.whisperx[24].start |
524.42 |
transcript.whisperx[24].end |
545.772 |
transcript.whisperx[24].text |
當天其實也有這一個 也有委員建議其實這個刑責 就是嚇阻的部分 或許可以再來提高因為我們現在三年 可能提高到譬如說 就是說一定的這一個年度不過這個當然是牽涉到整個修法的那個過程還有另外一個就是說有提到說這一個違反這個家暴法對 沒錯 它的整個是一個嚇阻的這一個那刑事訴訟法這方面咧 |
transcript.whisperx[25].start |
550.523 |
transcript.whisperx[25].end |
564.183 |
transcript.whisperx[25].text |
這個部分不是衛福部的權責 這個我們就尊重法務司法院這邊的一個權責那我再請問一下 家暴法第31條有所謂的預防性的羈押 |
transcript.whisperx[26].start |
565.785 |
transcript.whisperx[26].end |
581.725 |
transcript.whisperx[26].text |
那我們預防性的羈押是不是大家覺得說因為沒有足夠的一些證據或是怎麼樣所以很少去用到這一條預防性羈押這部分我是不是請那個複密處長或是徐市長你們都回答一下 |
transcript.whisperx[27].start |
583.735 |
transcript.whisperx[27].end |
595.981 |
transcript.whisperx[27].text |
我跟委員報告 預防性羈押的話當然就是一個防止這個進一步的危害發生但是它有一個要件就要重複反覆實施的要件所以這個案子是沒有 |
transcript.whisperx[28].start |
597.2 |
transcript.whisperx[28].end |
618.139 |
transcript.whisperx[28].text |
他的現存的資料是沒有這樣不符合但是關於這個31條預防性羈押你們這一個使用這一條的機會大嗎因為我看說檢察官申請羈押混准大概100多件而已113年總共違反保護令罪是6048人那預防性羈押153人偏低啊 |
transcript.whisperx[29].start |
622.602 |
transcript.whisperx[29].end |
634.226 |
transcript.whisperx[29].text |
這個有要件的我知道有要件啦我意思是說是不是因為他的要件就像市長所講的要一個反覆實施要有危險有危險那還是很慎重的可是因為這個個案大家又開始要討論說這個所謂預防性羈押 |
transcript.whisperx[30].start |
639.059 |
transcript.whisperx[30].end |
652.648 |
transcript.whisperx[30].text |
的真的實施上這一條雖然法有定但是好像實際上能夠用到這一條的機會不多所以我們就是要補那一塊所謂的反覆實施有利己為再犯其的風險所以我們才會是說欸這一個 |
transcript.whisperx[31].start |
654.589 |
transcript.whisperx[31].end |
676.924 |
transcript.whisperx[31].text |
高風險評估要隨著案件要進來檢察官才能夠判斷說是不是符合這個預防性羈押這個很重要好那我最後再問好因為時間要到主席站起來了那問一下副秘書長我們加法保第31條這個我們有所謂的刑事保護令那刑事保護令的這個合法的比例是不是也是偏低 |
transcript.whisperx[32].start |
678.001 |
transcript.whisperx[32].end |
705.072 |
transcript.whisperx[32].text |
不是說在這一件 因為他這一件 譬如說他問完之後發現說他這個沒有羈押的必要但是呢 那至少我們可以這個包含31條的第一款到第五款都有一些條件可以要求這一個我們的被告要去遵守那像這個案件也沒有嘛 那我的意思是說我們是不是可以為了增加嚇阻力來提高這個刑事這個保護令的合法的比例 |
transcript.whisperx[33].start |
706.883 |
transcript.whisperx[33].end |
724.931 |
transcript.whisperx[33].text |
報告委員 這個案件中他的那個羈押是他沒有向法院那個申請羈押所以說法院當然也無從就是會去下這些相關的這些那個保護鏈那過去咧 就是說這個合法刑事保護鏈的比例咧來來 那一個次長 |
transcript.whisperx[34].start |
730.848 |
transcript.whisperx[34].end |
750.991 |
transcript.whisperx[34].text |
我們在偵查中發這種刑事保護令目前大概是六成因為我看一下你們這個數字這應該是大概五成五成五到六成左右啦但是就是說這個預知的比率六成然後按照這個下面是哪些款項 |
transcript.whisperx[35].start |
752.879 |
transcript.whisperx[35].end |
769.269 |
transcript.whisperx[35].text |
比如說第一款到第五款啊大概的是有哪一些範圍通常是第二款一二款都有可能那個是比較立即的那個危險那我是希望啦就是說剛剛看也發生說有一些斷層 |
transcript.whisperx[36].start |
770.41 |
transcript.whisperx[36].end |
787.919 |
transcript.whisperx[36].text |
那剛才就是說第31條這個預防性羈押的這部分我是希望說藉由這個個案我們再去討論你們怎麼樣把這個反覆實施然後具有這個傷害性這邊把它這個不論是更明確化一點點或是說看怎麼樣去做一個說明跟解釋讓這一條有實際上應用的一個機會啦我們會加強宣導跟訓練好 謝謝 謝謝主席 |