iVOD / 163394

Field Value
IVOD_ID 163394
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/163394
日期 2025-08-06
會議資料.會議代碼 委員會-11-3-26-23
會議資料.會議代碼:str 第11屆第3會期社會福利及衛生環境委員會第23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 23
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 第11屆第3會期社會福利及衛生環境委員會第23次全體委員會議
影片種類 Clip
開始時間 2025-08-06T12:58:00+08:00
結束時間 2025-08-06T13:11:06+08:00
影片長度 00:13:06
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e1709aa86d7a0b9cdadbfc56c1ff23d074966a8fa7f8d779bc134812712733053b15e738d91a4af85ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 劉建國
委員發言時間 12:58:00 - 13:11:06
會議時間 2025-08-06T09:00:00+08:00
會議名稱 立法院第11屆第3會期社會福利及衛生環境委員會第23次全體委員會議(事由:(上午) 邀請衛生福利部部長、司法院、法務部、教育部、內政部警政署就「因應近期多起社會重大事件,檢討家庭暴力防治法民事保護令制度及執行缺失,強化保護令之作為」進行專題報告,並備質詢。 (下午1時30分) 一、繼續審查行政院函請審議「兒童托育服務法草案」案。 二、繼續審查委員林月琴等16人擬具「兒童托育服務法草案」案。 三、繼續審查委員何欣純等16人擬具「兒童托育服務法草案」案。 四、繼續審查委員王育敏等24人擬具「兒童托育服務法草案」案。 五、繼續審查委員邱若華等16人擬具「兒童托育服務法草案」案。 六、繼續審查委員黃捷等21人擬具「兒童托育服務法草案」案。 七、繼續審查委員蔡易餘等17人擬具「兒童托育服務法草案」案。 八、繼續審查委員李坤城等22人擬具「兒童托育服務法草案」案。 九、繼續審查委員陳培瑜等19人擬具「兒童托育服務法草案」案。 十、繼續審查委員郭昱晴等21人擬具「兒童托育服務法草案」案。 十一、繼續審查委員陳素月等16人擬具「兒童托育服務法草案」案。 十二、繼續審查委員鄭天財Sra Kacaw等18人擬具「兒童托育服務法草案」案。 十三、繼續審查委員王美惠等19人擬具「兒童托育服務法草案」案。 十四、繼續審查委員林淑芬等25人擬具「兒童托育服務法草案」案。 十五、繼續審查委員王正旭等18人擬具「兒童托育服務法草案」案。 十六、繼續審查委員吳沛憶等19人擬具「兒童托育服務法草案」案。 十七、繼續審查委員游顥等17人擬具「兒童托育多元服務法草案」案。 十八、繼續審查委員范雲等17人擬具「兒童托育服務法草案」案。 十九、繼續審查委員李彥秀等16人擬具「兒童托育服務法草案」案。 二十、繼續審查委員羅廷瑋等17人擬具「兒童托育服務法草案」案。 二十一、審查委員張雅琳等16人擬具「兒童托育服務法草案」案。 二十二、審查委員吳琪銘等19人擬具「兒童托育服務法草案」案。 二十三、審查委員伍麗華Saidhai Tahovecahe等26人擬具「兒童托育服務法草案」案。 二十四、審查委員陳菁徽等17人擬具「兒童托育服務法草案」案。 二十五、審查委員蘇巧慧等16人擬具「兒童托育服務法草案」案。 二十六、審查委員顏寬恒等16人擬具「兒童托育服務法草案」案。 二十七、審查委員劉建國等18人擬具「兒童托育服務法草案」案。 二十八、審查委員黃健豪等17人擬具「兒童托育服務法草案」案。 二十九、審查委員洪孟楷等21人擬具「兒童托育服務法草案」案。 【逐條討論】 【第二十九案,如未經各黨團簽署不復議同意書,則不予審查】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 3.76034375
transcript.pyannote[0].end 6.66284375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 7.47284375
transcript.pyannote[1].end 8.73846875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 9.54846875
transcript.pyannote[2].end 19.13346875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 19.48784375
transcript.pyannote[3].end 24.51659375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 24.75284375
transcript.pyannote[4].end 27.18284375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 27.85784375
transcript.pyannote[5].end 28.95471875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 29.54534375
transcript.pyannote[6].end 30.08534375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 31.36784375
transcript.pyannote[7].end 33.44346875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 32.24534375
transcript.pyannote[8].end 32.61659375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 33.05534375
transcript.pyannote[9].end 43.90596875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 41.76284375
transcript.pyannote[10].end 42.21846875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 43.90596875
transcript.pyannote[11].end 45.05346875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 46.11659375
transcript.pyannote[12].end 50.72346875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 49.05284375
transcript.pyannote[13].end 49.89659375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 51.02721875
transcript.pyannote[14].end 59.80221875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 60.03846875
transcript.pyannote[15].end 62.63721875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 63.12659375
transcript.pyannote[16].end 67.00784375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 68.15534375
transcript.pyannote[17].end 69.55596875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 70.09596875
transcript.pyannote[18].end 71.56409375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 72.03659375
transcript.pyannote[19].end 73.57221875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 73.90971875
transcript.pyannote[20].end 74.53409375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 74.98971875
transcript.pyannote[21].end 76.00221875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 76.89659375
transcript.pyannote[22].end 98.96909375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 99.91409375
transcript.pyannote[23].end 103.12034375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 103.40721875
transcript.pyannote[24].end 104.08221875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 104.50409375
transcript.pyannote[25].end 124.43346875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 125.27721875
transcript.pyannote[26].end 133.81596875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 134.44034375
transcript.pyannote[27].end 140.80221875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 140.97096875
transcript.pyannote[28].end 142.16909375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 143.19846875
transcript.pyannote[29].end 144.31221875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 144.73409375
transcript.pyannote[30].end 147.02909375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 147.33284375
transcript.pyannote[31].end 159.55034375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 161.05221875
transcript.pyannote[32].end 162.73971875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 164.34284375
transcript.pyannote[33].end 169.60784375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 169.99596875
transcript.pyannote[34].end 173.75909375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 174.34971875
transcript.pyannote[35].end 175.69971875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 176.79659375
transcript.pyannote[36].end 177.06659375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 177.47159375
transcript.pyannote[37].end 178.50096875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 179.02409375
transcript.pyannote[38].end 180.40784375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 180.64409375
transcript.pyannote[39].end 181.16721875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 181.57221875
transcript.pyannote[40].end 182.66909375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 182.97284375
transcript.pyannote[41].end 185.04846875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 185.43659375
transcript.pyannote[42].end 187.76534375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 188.81159375
transcript.pyannote[43].end 192.00096875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 192.37221875
transcript.pyannote[44].end 196.03409375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 198.10971875
transcript.pyannote[45].end 199.86471875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 200.69159375
transcript.pyannote[46].end 210.36096875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 210.83346875
transcript.pyannote[47].end 212.40284375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 212.55471875
transcript.pyannote[48].end 215.91284375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 215.96346875
transcript.pyannote[49].end 216.04784375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 216.21659375
transcript.pyannote[50].end 222.51096875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 223.11846875
transcript.pyannote[51].end 227.62409375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 228.13034375
transcript.pyannote[52].end 231.58971875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 231.87659375
transcript.pyannote[53].end 233.02409375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 237.02346875
transcript.pyannote[54].end 238.40721875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 238.84596875
transcript.pyannote[55].end 246.99659375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 248.12721875
transcript.pyannote[56].end 251.77221875
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 252.54846875
transcript.pyannote[57].end 253.72971875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 253.99971875
transcript.pyannote[58].end 254.05034375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 254.06721875
transcript.pyannote[59].end 255.34971875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 255.88971875
transcript.pyannote[60].end 256.44659375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 257.66159375
transcript.pyannote[61].end 258.96096875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 259.45034375
transcript.pyannote[62].end 261.91409375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 262.35284375
transcript.pyannote[63].end 263.28096875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 263.73659375
transcript.pyannote[64].end 265.72784375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 266.21721875
transcript.pyannote[65].end 266.82471875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 267.66846875
transcript.pyannote[66].end 268.66409375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 268.79909375
transcript.pyannote[67].end 270.95909375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 271.36409375
transcript.pyannote[68].end 272.98409375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 273.25409375
transcript.pyannote[69].end 275.02596875
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 275.34659375
transcript.pyannote[70].end 276.27471875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 276.74721875
transcript.pyannote[71].end 279.26159375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 280.22346875
transcript.pyannote[72].end 280.74659375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 282.55221875
transcript.pyannote[73].end 283.44659375
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 286.77096875
transcript.pyannote[74].end 289.23471875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 289.84221875
transcript.pyannote[75].end 291.91784375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 292.50846875
transcript.pyannote[76].end 293.21721875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 293.53784375
transcript.pyannote[77].end 295.24221875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 295.79909375
transcript.pyannote[78].end 299.27534375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 300.45659375
transcript.pyannote[79].end 302.54909375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 303.22409375
transcript.pyannote[80].end 305.68784375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 305.99159375
transcript.pyannote[81].end 308.06721875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 310.12596875
transcript.pyannote[82].end 311.32409375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 311.91471875
transcript.pyannote[83].end 314.14221875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 314.36159375
transcript.pyannote[84].end 315.52596875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 316.09971875
transcript.pyannote[85].end 318.98534375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 323.30534375
transcript.pyannote[86].end 325.06034375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 325.75221875
transcript.pyannote[87].end 326.25846875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 326.64659375
transcript.pyannote[88].end 328.87409375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 329.76846875
transcript.pyannote[89].end 340.29846875
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 340.63596875
transcript.pyannote[90].end 347.03159375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 347.25096875
transcript.pyannote[91].end 349.71471875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 352.16159375
transcript.pyannote[92].end 357.88221875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 358.27034375
transcript.pyannote[93].end 368.80034375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 368.85096875
transcript.pyannote[94].end 388.27409375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 388.69596875
transcript.pyannote[95].end 392.69534375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 393.15096875
transcript.pyannote[96].end 395.81721875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 395.91846875
transcript.pyannote[97].end 397.20096875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 397.87596875
transcript.pyannote[98].end 398.55096875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 399.73221875
transcript.pyannote[99].end 402.12846875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 402.68534375
transcript.pyannote[100].end 408.35534375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 408.79409375
transcript.pyannote[101].end 409.82346875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 410.71784375
transcript.pyannote[102].end 412.60784375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 412.82721875
transcript.pyannote[103].end 413.89034375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 414.64971875
transcript.pyannote[104].end 415.12221875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 415.76346875
transcript.pyannote[105].end 417.01221875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 417.73784375
transcript.pyannote[106].end 421.04534375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 421.63596875
transcript.pyannote[107].end 443.21909375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 444.41721875
transcript.pyannote[108].end 452.21346875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 452.92221875
transcript.pyannote[109].end 455.20034375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 455.30159375
transcript.pyannote[110].end 457.79909375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 458.28846875
transcript.pyannote[111].end 461.20784375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 461.62971875
transcript.pyannote[112].end 462.74346875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 463.78971875
transcript.pyannote[113].end 464.95409375
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 465.81471875
transcript.pyannote[114].end 466.21971875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 467.04659375
transcript.pyannote[115].end 467.38409375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 468.16034375
transcript.pyannote[116].end 468.86909375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 469.24034375
transcript.pyannote[117].end 469.54409375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 470.03346875
transcript.pyannote[118].end 471.01221875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 471.40034375
transcript.pyannote[119].end 471.67034375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 472.10909375
transcript.pyannote[120].end 472.83471875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 474.15096875
transcript.pyannote[121].end 474.38721875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 475.04534375
transcript.pyannote[122].end 475.88909375
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 477.61034375
transcript.pyannote[123].end 479.09534375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 480.61409375
transcript.pyannote[124].end 484.51221875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 484.74846875
transcript.pyannote[125].end 486.92534375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 487.41471875
transcript.pyannote[126].end 488.88284375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 489.84471875
transcript.pyannote[127].end 491.19471875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 491.86971875
transcript.pyannote[128].end 496.45971875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 496.59471875
transcript.pyannote[129].end 498.67034375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 499.12596875
transcript.pyannote[130].end 500.47596875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 501.33659375
transcript.pyannote[131].end 502.12971875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 502.93971875
transcript.pyannote[132].end 505.72409375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 505.92659375
transcript.pyannote[133].end 506.28096875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 506.29784375
transcript.pyannote[134].end 507.64784375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 507.88409375
transcript.pyannote[135].end 509.33534375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 509.48721875
transcript.pyannote[136].end 514.21221875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 515.37659375
transcript.pyannote[137].end 518.17784375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 518.80221875
transcript.pyannote[138].end 519.10596875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 519.39284375
transcript.pyannote[139].end 522.21096875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 522.61596875
transcript.pyannote[140].end 533.46659375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 534.02346875
transcript.pyannote[141].end 552.07971875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 553.27784375
transcript.pyannote[142].end 554.35784375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 555.82596875
transcript.pyannote[143].end 557.27721875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 557.54721875
transcript.pyannote[144].end 558.39096875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 558.72846875
transcript.pyannote[145].end 561.93471875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 562.50846875
transcript.pyannote[146].end 563.43659375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 564.43221875
transcript.pyannote[147].end 565.57971875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 565.84971875
transcript.pyannote[148].end 577.54409375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 578.16846875
transcript.pyannote[149].end 579.36659375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 579.83909375
transcript.pyannote[150].end 580.81784375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 582.30284375
transcript.pyannote[151].end 588.42846875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 588.76596875
transcript.pyannote[152].end 592.59659375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 593.01846875
transcript.pyannote[153].end 594.25034375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 595.09409375
transcript.pyannote[154].end 602.46846875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 603.05909375
transcript.pyannote[155].end 603.31221875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 604.24034375
transcript.pyannote[156].end 616.03596875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 616.62659375
transcript.pyannote[157].end 622.95471875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 623.47784375
transcript.pyannote[158].end 628.59096875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 629.45159375
transcript.pyannote[159].end 629.75534375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 630.22784375
transcript.pyannote[160].end 635.45909375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 636.01596875
transcript.pyannote[161].end 637.28159375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 638.14221875
transcript.pyannote[162].end 639.22221875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 639.32346875
transcript.pyannote[163].end 645.65159375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 646.00596875
transcript.pyannote[164].end 654.67971875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 655.05096875
transcript.pyannote[165].end 658.13909375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 658.59471875
transcript.pyannote[166].end 659.59034375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 661.83471875
transcript.pyannote[167].end 661.96971875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 663.84284375
transcript.pyannote[168].end 664.53471875
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 665.86784375
transcript.pyannote[169].end 668.60159375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 669.17534375
transcript.pyannote[170].end 670.33971875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 669.37784375
transcript.pyannote[171].end 669.47909375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 670.72784375
transcript.pyannote[172].end 672.26346875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 672.53346875
transcript.pyannote[173].end 673.29284375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 673.76534375
transcript.pyannote[174].end 675.19971875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 675.33471875
transcript.pyannote[175].end 678.01784375
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 678.32159375
transcript.pyannote[176].end 680.98784375
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 683.09721875
transcript.pyannote[177].end 691.73721875
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 692.27721875
transcript.pyannote[178].end 695.50034375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 695.82096875
transcript.pyannote[179].end 696.61409375
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 697.01909375
transcript.pyannote[180].end 697.33971875
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 697.64346875
transcript.pyannote[181].end 699.31409375
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 699.51659375
transcript.pyannote[182].end 701.00159375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 701.98034375
transcript.pyannote[183].end 702.80721875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 702.97596875
transcript.pyannote[184].end 704.79846875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 706.85721875
transcript.pyannote[185].end 708.66284375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 709.48971875
transcript.pyannote[186].end 711.07596875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 711.48096875
transcript.pyannote[187].end 712.93221875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 713.77596875
transcript.pyannote[188].end 714.78846875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 717.47159375
transcript.pyannote[189].end 725.23409375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 725.67284375
transcript.pyannote[190].end 726.71909375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 729.16596875
transcript.pyannote[191].end 729.45284375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 730.44846875
transcript.pyannote[192].end 735.15659375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 735.71346875
transcript.pyannote[193].end 750.85034375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 751.44096875
transcript.pyannote[194].end 751.93034375
transcript.pyannote[195].speaker SPEAKER_00
transcript.pyannote[195].start 752.65596875
transcript.pyannote[195].end 763.82721875
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 764.24909375
transcript.pyannote[196].end 770.72909375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 771.28596875
transcript.pyannote[197].end 773.83409375
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 775.23471875
transcript.pyannote[198].end 777.44534375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 777.79971875
transcript.pyannote[199].end 779.28471875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 780.31409375
transcript.pyannote[200].end 780.73596875
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 781.15784375
transcript.pyannote[201].end 784.78596875
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 782.57534375
transcript.pyannote[202].end 783.11534375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 783.79034375
transcript.pyannote[203].end 784.53284375
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 784.98846875
transcript.pyannote[204].end 786.96284375
transcript.whisperx[0].start 3.972
transcript.whisperx[0].end 28.669
transcript.whisperx[0].text 好,謝謝主席,要準時齁,請邱部長好,有請邱部長民國八二七年台灣通過家庭暴力防治法,那六二十四號衛務部也才舉辦立法滿二十七週年的記者會對不對?是那請問部長,那兩院有派代表到嗎?四個部會有派代表到嗎?然後所屬的私塾都有派代表到嗎?
transcript.whisperx[1].start 29.52
transcript.whisperx[1].end 30.161
transcript.whisperx[1].text 跟民眾跟社會大眾宣導所以並沒有邀部會參加
transcript.whisperx[2].start 46.175
transcript.whisperx[2].end 75.464
transcript.whisperx[2].text 沒有啊,就是衛務部,就是保護司來主導這事情嘛所以其他的今天接受到備詢、垂詢的相關的包含司法院你們是所屬這個行政院嘛對不對那其他的屬司、警政署還有這個檢察司都沒有被邀請嘛但今天發生這個事情你看底下的官員幾次被委員請到備詢台來接受備詢
transcript.whisperx[3].start 76.94
transcript.whisperx[3].end 98.712
transcript.whisperx[3].text 我只要凸顯這個問題啦齁 這個事情會同小可台灣在整體針對這個家庭暴力防治法可能是要很慎重嚴謹的 積極的來正視相關的這樣的一個程序啦齁如果再不做這樣處理的話 我想上個禮拜再法治 這個禮拜再未還或是下個禮拜
transcript.whisperx[4].start 100.286
transcript.whisperx[4].end 124.146
transcript.whisperx[4].text 這兩個委員會不曉得哪個委員會又要再排一次那到時候各位所屬兩院的各部的各司的各署的都能夠經常在這個立法院的委員會東奔西跑然後有時候打出來的會讓台灣人民沒辦法信賴說台灣整體在訂這個制度過程裡面竟然會有很多的盲點跟荒腔走板的情況持續在發生
transcript.whisperx[5].start 125.339
transcript.whisperx[5].end 142.042
transcript.whisperx[5].text 所以這部分我請部長可能要特別來正視這個問題因為畢竟已經從88年實施到現在這個保護令已經26年了那法院在合法保護令之後這麼多憾事我想剛剛大家都已經有講過我不再追溯不過一個月有三期
transcript.whisperx[6].start 143.24
transcript.whisperx[6].end 159.35
transcript.whisperx[6].text 一個又有三起那我就不再贅述了因為每一件都是讓我們覺得非常的心驚膽跳也覺得是制度在制度的盲點的時候來發生這樣的憾事然後每一個保護令好像是四殺令不是催命,叫四殺令
transcript.whisperx[7].start 164.737
transcript.whisperx[7].end 187.455
transcript.whisperx[7].text 應該各位都很清楚在申請保護令的當下坦白說其實是被害者是最危險的時候那國家整體的機制給提出申請這個保護令的對象被害者當時還不知道被害者那事情發生就叫被害者到底是什麼樣的一個機制在保護他
transcript.whisperx[8].start 188.831
transcript.whisperx[8].end 195.914
transcript.whisperx[8].text 他要拿到保護令之前的一個前置的保護誰來處理誰來負責我就簡單請教這個問題就好因為剛剛廳長有特別提到對加害者的一些盲點的這樣的一個資源確實有問題一早我聽到在做這個報告的時候我就聽得非常有感
transcript.whisperx[9].start 210.902
transcript.whisperx[9].end 232.957
transcript.whisperx[9].text 你對加害者的一個情緒,對加害者可能會在提高他施加暴力的這個狀況,我們好像到目前為止沒有一套很好的機制跟資源在做支撐,在做支持。當然當被害人提出申請保護令過程裡面,這樣的憾事就會持續一再發生了,甚至你拿到保護令當天就形成廝殺令了。
transcript.whisperx[10].start 237.048
transcript.whisperx[10].end 264.75
transcript.whisperx[10].text 因為我從一早聽到現在嘛在閱聽真的在閱覽過然後我看到底下的不管司長署長副署長等等等這樣跑上跑下跑上跑下跑上跑下一個法令一個法律怎麼會讓這麼多單位疲於讓委員對你們的垂請的過程裡面要要做這樣的一個反饋我覺得這個制度已經出了很嚴重的問題非常嚴重所以在27週年的記者會裡面就稱呼
transcript.whisperx[11].start 267.751
transcript.whisperx[11].end 278.959
transcript.whisperx[11].text 市長所講的是導向議題的一個討論那討論出來的結果是什麼你們是不是六月二十四嘛你看何其諷刺六月開了記者會27週年慶七月幾個生命不見了這對台灣整個法治來講對台灣整個在應對
transcript.whisperx[12].start 292.757
transcript.whisperx[12].end 315.227
transcript.whisperx[12].text 這個暴力的防制 暴力的防制來講真的是一大一大的諷刺 一大一大的挑戰難免因為法律受到保障但是今天我們這個法律反而不是在對這些需求者做一個保障才一個月時間而已啊 甚至也不到嘛你是6月24開 7月7號就發生的7月30也發生 7月24又發生
transcript.whisperx[13].start 323.608
transcript.whisperx[13].end 348.199
transcript.whisperx[13].text 所以我是覺得一個委員會來召開真的是還不夠啦是真的還不夠那當然一定要藉助立法院的力量來做這相關的一些溝通協調然後導正這個制度然後把這些盲點降到最低還是你行政機關跟司法機關本身可以好好坐下來談然後用更多的時間來面對這個事情
transcript.whisperx[14].start 352.559
transcript.whisperx[14].end 367.732
transcript.whisperx[14].text 我講到這邊啦應該點到這邊大家應該都能理解嘛那我再用幾個數據來講你看我其實現在講的應該也是跟這個天長講的道理差不多我覺得從這個面向但是其實還有很多的面向它還是必須要再被細究啦
transcript.whisperx[15].start 370.514
transcript.whisperx[15].end 396.792
transcript.whisperx[15].text 112.4達到2萬件1.13也差不多近2萬件然後請廠長上來好不好廠長也應該非常清楚保護令有分禁止實施家庭暴力禁止騷擾行為強制遷出強制遠離等四種對家暴而言是最直接與實際我是這樣區分各位可以看一下各位可以看所謂的占比第一個占比最高禁止實施家庭暴力這其實是假說的啦誰不知道
transcript.whisperx[16].start 399.818
transcript.whisperx[16].end 409.211
transcript.whisperx[16].text 所以畢業就管了,你和給他就是最高的啊你不和給他,但還是要禁止啊,換了這個事情還是有罪啊然後禁止騷擾行為87強制遷出2點多,不到3%強制遠離
transcript.whisperx[17].start 417.788
transcript.whisperx[17].end 442.159
transcript.whisperx[17].text 我為什麼要舉這兩個針對強制遷出跟強制遠離請廳長請部長還有請各位單位都是可以來再看一下就是基本上申請保護令的受害者他就是希望施暴者對這個禁止家庭的暴力對這個效果是希望可以達到某種程度但是總是要等到這個施暴者再次施暴的時候他才有辦法發揮這個效力
transcript.whisperx[18].start 444.588
transcript.whisperx[18].end 472.535
transcript.whisperx[18].text 這個也是一個人諷刺的事情然後然後你看直接面對這個限制施暴者接見受害者的強制遷出跟強制遠離佔總體兩萬件的2%到25%強制遷出齁他涉及加害者的安置問題所以法官願意合法的給他的這個意願非常低啦要安置去哪邊你的後端是什麼處理沒有啦有嗎有可以答覆我沒有沒有所以就是沒有好然後再來
transcript.whisperx[19].start 475.138
transcript.whisperx[19].end 501.868
transcript.whisperx[19].text 然後強制遠離對不起 強制遷出如果覺得我們對被害人有保護的安置處置那卻對加害者安置的問題怎麼講就是你要讓他強制遷出結果你又沒有辦法做到這個強制遷出後酸的一個處理那其實這個都是假的這是假象
transcript.whisperx[20].start 502.981
transcript.whisperx[20].end 514.155
transcript.whisperx[20].text 那法官願意來做這樣的一個合定的這兩個面向你看比例就是這麼低所以就是有後端衍生要讓法官去做這樣的合定的問題產生之所在嘛應該是這麼說嘛
transcript.whisperx[21].start 519.805
transcript.whisperx[21].end 534.88
transcript.whisperx[21].text 這個都是針對加害者的部分來做處理所以天堂早上的報告裡面其實就講到這兩點跟這個大同小異異曲同工之妙只是那一個程式上的不同而已那這個你們沒有看到沒有再來你再看
transcript.whisperx[22].start 536.782
transcript.whisperx[22].end 552.114
transcript.whisperx[22].text 強制遠離就是這個效果是當加害者出現在被害者抓到時警察就能直接來要求加害者離開現場完全不用再加害者與被害者到底有沒有起口角啦還是怎麼樣啦齁這個最基本可以幫助被害者免於恐懼的保護項目核化率也只有25%而已啊也加起來有5%而已啊這是一個層次問題那第二個時間到了是不是我不能換歸
transcript.whisperx[23].start 564.488
transcript.whisperx[23].end 580.567
transcript.whisperx[23].text 沒有啦 沒有啦 你不要干擾我好不好你不要因為干擾我 等下要講更久我知道你的預謀你再看一個 再提供出一個數據就好就是2013年強制競選的完成主意這個比例何其低啊就是總共
transcript.whisperx[24].start 582.335
transcript.whisperx[24].end 600.966
transcript.whisperx[24].text 我們華院核發了將近兩萬的保護令三種保護令嘛對不對齁那有對家人的儲育的計畫總共是三千六百九十二件不到四千件佔整體不到兩成啦18.47啦所以有超過八成的家人未進入到這個處置的輔導或治療的流程齁
transcript.whisperx[25].start 604.321
transcript.whisperx[25].end 626.75
transcript.whisperx[25].text 所以問題看起來也不是沒有對等的武器可以使用是沒有人要用的保護司長有講說國內承能保護社工僅800人這個案件處理力有未逮這是司長你講的嘛 對不對那800人想辦法在保護這兩萬件的申請保護令的個案這個其實相對加以者也沒有什麼應對的措施
transcript.whisperx[26].start 630.427
transcript.whisperx[26].end 659.247
transcript.whisperx[26].text 處理計畫只有三千多件你就知道這邊又出了一個一大漏洞一大問題的所在一個是一個是這個保護社工的人員一個是他們要這個完整處理的計畫比例是這麼低這是我整個整個例出來的第三個層層問題最後還沒有計算衛福部113年家暴家庭暴力通報這個事件的被案人數是多少你知道嗎部長你知道嗎通報就通報
transcript.whisperx[27].start 663.831
transcript.whisperx[27].end 666.814
transcript.whisperx[27].text 如果13萬8通通要申請保護令我們能夠承載嗎
transcript.whisperx[28].start 683.377
transcript.whisperx[28].end 704.637
transcript.whisperx[28].text 我們能夠承載嗎 何況時間剛剛有講說應該不到就是我們所謂的通常保護令時間沒有說要到五十幾天應該可以再加快一點對不對但實際上 這個誰寫的 這個不是我寫的通常保護令還是要五十三天還是要啦 暫時保護令還是要二十三天誰來挑戰這個數據是錯的
transcript.whisperx[29].start 709.92
transcript.whisperx[29].end 714.744
transcript.whisperx[29].text 來一個單位願意來挑戰如果是錯的我就在這邊跟你們道歉所以在對委員答覆的時候說不會這麼慢啦應該在一個月內還是四十天五三跟四十天差幾天也差這麼多
transcript.whisperx[30].start 729.158
transcript.whisperx[30].end 750.643
transcript.whisperx[30].text 好啦時間真的不要再拖下去了啦齁我只是覺得說我這邊有三點具體的要求好不好請部長請廳長請各位今天列席的單位看一下齁還有還有不足之處啦齁第一我是要求司法院全面要檢討保護令核發內容適用問題同時會同衛部針對提高保護令中加害人處遇計畫進行檢討第二司法院就保護令
transcript.whisperx[31].start 753.303
transcript.whisperx[31].end 773.927
transcript.whisperx[31].text 這個合法的這個合格的時程必須進行檢討有效縮短通常保護令及暫時保護令的合法時間同時設政警政教育亦要共同研究如何在第一時間內協助申請保護令的受害者安全保障而回等到保護令確定合法之後才提供協助所以那一段滿點這個部長跟蘇婉嫣應該一個信息可以提供給我們吧
transcript.whisperx[32].start 780.37
transcript.whisperx[32].end 783.353
transcript.whisperx[32].text 可以吧?可以,可以好,可以了,好不好?好,謝謝主席