iVOD / 162523

Field Value
IVOD_ID 162523
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162523
日期 2025-06-16
會議資料.會議代碼 委員會-11-3-36-20
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20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 20
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20次全體委員會議
影片種類 Clip
開始時間 2025-06-16T10:18:38+08:00
結束時間 2025-06-16T10:32:48+08:00
影片長度 00:14:10
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/880d22d0956e9b7dcaf59aa33bac1be665ca6c232fe926b7e53a3acdbfa6b57d555062629d9f47525ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 沈發惠
委員發言時間 10:18:38 - 10:32:48
會議時間 2025-06-16T09:00:00+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20次全體委員會議(事由:一、邀請法務部部長、法務部矯正署署長、法務部廉政署率所屬相關單位列席就「鑑於近來矯正監所暴力衝突事件頻傳,如何維護『矯正是刑事司法最後一道防線』及相關獄政策進作為,包括提升戒護人力資源」進行專題報告,並備質詢。 二、繼續併案審查 (一)委員徐巧芯等17人擬具「監察院組織法第三條之一及第三條之二條文修正草案」案。 (二)委員王鴻薇等17人擬具「監察院組織法第三條之一條文修正草案」案。 三、審查委員徐巧芯等22人擬具「監察院國家人權委員會組織法第三條條文修正草案」案。 【6月16日及18日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 10.02096875
transcript.pyannote[0].end 11.52284375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 11.65784375
transcript.pyannote[1].end 11.79284375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 18.91409375
transcript.pyannote[2].end 26.44034375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 26.94659375
transcript.pyannote[3].end 43.45034375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 27.13221875
transcript.pyannote[4].end 28.21221875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 39.53534375
transcript.pyannote[5].end 40.41284375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 42.91034375
transcript.pyannote[6].end 45.30659375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 44.37846875
transcript.pyannote[7].end 49.64346875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 49.86284375
transcript.pyannote[8].end 55.04346875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 55.16159375
transcript.pyannote[9].end 57.30471875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 57.60846875
transcript.pyannote[10].end 59.21159375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 59.21159375
transcript.pyannote[11].end 59.66721875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 59.66721875
transcript.pyannote[12].end 59.76846875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 60.39284375
transcript.pyannote[13].end 63.76784375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 64.79721875
transcript.pyannote[14].end 66.04596875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 67.54784375
transcript.pyannote[15].end 68.07096875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 68.74596875
transcript.pyannote[16].end 73.79159375
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 74.43284375
transcript.pyannote[17].end 79.71471875
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 79.76534375
transcript.pyannote[18].end 81.70596875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 81.90846875
transcript.pyannote[19].end 82.87034375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 83.14034375
transcript.pyannote[20].end 92.38784375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 93.07971875
transcript.pyannote[21].end 94.34534375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 94.66596875
transcript.pyannote[22].end 98.78346875
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 99.20534375
transcript.pyannote[23].end 122.02034375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 122.64471875
transcript.pyannote[24].end 124.26471875
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 124.95659375
transcript.pyannote[25].end 125.36159375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 125.69909375
transcript.pyannote[26].end 140.51534375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 142.20284375
transcript.pyannote[27].end 145.03784375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 145.22346875
transcript.pyannote[28].end 147.45096875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 148.10909375
transcript.pyannote[29].end 148.73346875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 149.23971875
transcript.pyannote[30].end 149.86409375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 150.38721875
transcript.pyannote[31].end 156.98534375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 157.55909375
transcript.pyannote[32].end 164.86596875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 164.93346875
transcript.pyannote[33].end 168.00471875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 168.44346875
transcript.pyannote[34].end 174.53534375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 174.97409375
transcript.pyannote[35].end 175.49721875
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 176.10471875
transcript.pyannote[36].end 178.65284375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 179.05784375
transcript.pyannote[37].end 180.91409375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 182.14596875
transcript.pyannote[38].end 188.22096875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 188.55846875
transcript.pyannote[39].end 189.48659375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 191.29221875
transcript.pyannote[40].end 192.03471875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 192.81096875
transcript.pyannote[41].end 194.48159375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 193.13159375
transcript.pyannote[42].end 206.20971875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 206.74971875
transcript.pyannote[43].end 207.86346875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 208.18409375
transcript.pyannote[44].end 208.80846875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 209.01096875
transcript.pyannote[45].end 209.65221875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 209.87159375
transcript.pyannote[46].end 236.43284375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 225.64971875
transcript.pyannote[47].end 226.17284375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 236.85471875
transcript.pyannote[48].end 238.57596875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 236.88846875
transcript.pyannote[49].end 237.76596875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 239.36909375
transcript.pyannote[50].end 247.33409375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 248.21159375
transcript.pyannote[51].end 248.86971875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 249.93284375
transcript.pyannote[52].end 250.92846875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 251.45159375
transcript.pyannote[53].end 259.53471875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 260.83409375
transcript.pyannote[54].end 282.21471875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 262.53846875
transcript.pyannote[55].end 262.87596875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 279.04221875
transcript.pyannote[56].end 279.41346875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 279.85221875
transcript.pyannote[57].end 285.57284375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 285.50534375
transcript.pyannote[58].end 286.90596875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 286.90596875
transcript.pyannote[59].end 287.90159375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 287.74971875
transcript.pyannote[60].end 290.23034375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 288.98159375
transcript.pyannote[61].end 295.15784375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 293.06534375
transcript.pyannote[62].end 293.92596875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 295.81596875
transcript.pyannote[63].end 300.59159375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 301.14846875
transcript.pyannote[64].end 302.22846875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 302.81909375
transcript.pyannote[65].end 304.97909375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 302.88659375
transcript.pyannote[66].end 305.97471875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 306.49784375
transcript.pyannote[67].end 311.84721875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 307.54409375
transcript.pyannote[68].end 308.21909375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 313.87221875
transcript.pyannote[69].end 315.47534375
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 314.10846875
transcript.pyannote[70].end 316.62284375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 316.80846875
transcript.pyannote[71].end 317.97284375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 317.11221875
transcript.pyannote[72].end 325.24596875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 323.32221875
transcript.pyannote[73].end 324.31784375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 325.12784375
transcript.pyannote[74].end 326.39346875
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 325.36409375
transcript.pyannote[75].end 336.38346875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 332.73846875
transcript.pyannote[76].end 337.15971875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 337.63221875
transcript.pyannote[77].end 338.17221875
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 338.71221875
transcript.pyannote[78].end 343.23471875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 344.29784375
transcript.pyannote[79].end 345.37784375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 344.33159375
transcript.pyannote[80].end 344.68596875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 345.96846875
transcript.pyannote[81].end 347.82471875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 348.34784375
transcript.pyannote[82].end 366.74159375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 366.35346875
transcript.pyannote[83].end 372.78284375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 373.84596875
transcript.pyannote[84].end 379.93784375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 379.76909375
transcript.pyannote[85].end 381.52409375
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 381.52409375
transcript.pyannote[86].end 382.09784375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 382.41846875
transcript.pyannote[87].end 387.10971875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 388.08846875
transcript.pyannote[88].end 392.72909375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 388.32471875
transcript.pyannote[89].end 389.01659375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 391.26096875
transcript.pyannote[90].end 411.39284375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 412.06784375
transcript.pyannote[91].end 413.02971875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 413.02971875
transcript.pyannote[92].end 413.38409375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 414.04221875
transcript.pyannote[93].end 414.05909375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 414.05909375
transcript.pyannote[94].end 429.21284375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 428.62221875
transcript.pyannote[95].end 439.91159375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 435.16971875
transcript.pyannote[96].end 435.43971875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 440.45159375
transcript.pyannote[97].end 444.55221875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 445.12596875
transcript.pyannote[98].end 447.53909375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 448.41659375
transcript.pyannote[99].end 459.85784375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 459.97596875
transcript.pyannote[100].end 460.04346875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 460.07721875
transcript.pyannote[101].end 461.03909375
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 461.10659375
transcript.pyannote[102].end 462.87846875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 463.23284375
transcript.pyannote[103].end 463.90784375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 465.12284375
transcript.pyannote[104].end 470.38784375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 470.77596875
transcript.pyannote[105].end 471.26534375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 471.60284375
transcript.pyannote[106].end 472.32846875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 473.05409375
transcript.pyannote[107].end 473.74596875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 474.40409375
transcript.pyannote[108].end 478.97721875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 479.51721875
transcript.pyannote[109].end 482.31846875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 482.57159375
transcript.pyannote[110].end 484.93409375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 485.49096875
transcript.pyannote[111].end 486.11534375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 486.90846875
transcript.pyannote[112].end 488.17409375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 488.84909375
transcript.pyannote[113].end 498.28221875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 498.87284375
transcript.pyannote[114].end 502.31534375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 502.65284375
transcript.pyannote[115].end 503.78346875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 504.32346875
transcript.pyannote[116].end 509.20034375
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 509.52096875
transcript.pyannote[117].end 511.14096875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 513.09846875
transcript.pyannote[118].end 517.18221875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 513.36846875
transcript.pyannote[119].end 513.58784375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 516.92909375
transcript.pyannote[120].end 525.01221875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 525.75471875
transcript.pyannote[121].end 528.25221875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 529.02846875
transcript.pyannote[122].end 529.51784375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 529.92284375
transcript.pyannote[123].end 535.77846875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 537.24659375
transcript.pyannote[124].end 544.16534375
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 545.73471875
transcript.pyannote[125].end 546.61221875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 547.60784375
transcript.pyannote[126].end 548.80596875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 549.22784375
transcript.pyannote[127].end 549.83534375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 550.34159375
transcript.pyannote[128].end 552.23159375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 552.45096875
transcript.pyannote[129].end 553.22721875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 554.22284375
transcript.pyannote[130].end 555.38721875
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 555.94409375
transcript.pyannote[131].end 558.10409375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 558.98159375
transcript.pyannote[132].end 559.94346875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 560.65221875
transcript.pyannote[133].end 565.61346875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 566.27159375
transcript.pyannote[134].end 567.82409375
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 568.61721875
transcript.pyannote[135].end 569.78159375
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 572.12721875
transcript.pyannote[136].end 577.29096875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 578.06721875
transcript.pyannote[137].end 578.97846875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 579.41721875
transcript.pyannote[138].end 580.07534375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 580.49721875
transcript.pyannote[139].end 582.91034375
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 583.77096875
transcript.pyannote[140].end 594.04784375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 595.17846875
transcript.pyannote[141].end 597.99659375
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 598.35096875
transcript.pyannote[142].end 599.00909375
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 599.27909375
transcript.pyannote[143].end 601.40534375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 602.29971875
transcript.pyannote[144].end 603.29534375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 603.51471875
transcript.pyannote[145].end 604.83096875
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 604.83096875
transcript.pyannote[146].end 606.06284375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 605.06721875
transcript.pyannote[147].end 606.24846875
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 606.24846875
transcript.pyannote[148].end 606.92346875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 607.49721875
transcript.pyannote[149].end 608.77971875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 608.77971875
transcript.pyannote[150].end 610.29846875
transcript.pyannote[151].speaker SPEAKER_01
transcript.pyannote[151].start 611.93534375
transcript.pyannote[151].end 618.38159375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 618.82034375
transcript.pyannote[152].end 628.00034375
transcript.pyannote[153].speaker SPEAKER_01
transcript.pyannote[153].start 630.32909375
transcript.pyannote[153].end 638.61471875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 639.57659375
transcript.pyannote[154].end 643.47471875
transcript.pyannote[155].speaker SPEAKER_01
transcript.pyannote[155].start 644.18346875
transcript.pyannote[155].end 645.44909375
transcript.pyannote[156].speaker SPEAKER_01
transcript.pyannote[156].start 646.73159375
transcript.pyannote[156].end 660.31596875
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 661.17659375
transcript.pyannote[157].end 664.38284375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 668.53409375
transcript.pyannote[158].end 673.74846875
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 673.88346875
transcript.pyannote[159].end 676.73534375
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 675.99284375
transcript.pyannote[160].end 680.61659375
transcript.pyannote[161].speaker SPEAKER_01
transcript.pyannote[161].start 680.95409375
transcript.pyannote[161].end 681.44346875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 682.89471875
transcript.pyannote[162].end 686.42159375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 686.87721875
transcript.pyannote[163].end 688.64909375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 688.76721875
transcript.pyannote[164].end 692.54721875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 693.10409375
transcript.pyannote[165].end 696.51284375
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 697.66034375
transcript.pyannote[166].end 707.04284375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 707.05971875
transcript.pyannote[167].end 708.22409375
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 708.44346875
transcript.pyannote[168].end 709.62471875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 711.24471875
transcript.pyannote[169].end 715.29471875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 716.96534375
transcript.pyannote[170].end 722.31471875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 722.75346875
transcript.pyannote[171].end 731.03909375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 731.35971875
transcript.pyannote[172].end 736.28721875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 736.52346875
transcript.pyannote[173].end 737.90721875
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 738.24471875
transcript.pyannote[174].end 739.67909375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 740.30346875
transcript.pyannote[175].end 744.60659375
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 744.97784375
transcript.pyannote[176].end 747.12096875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 747.50909375
transcript.pyannote[177].end 749.95596875
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 750.63096875
transcript.pyannote[178].end 751.05284375
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 752.23409375
transcript.pyannote[179].end 753.63471875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 753.97221875
transcript.pyannote[180].end 754.42784375
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 754.42784375
transcript.pyannote[181].end 761.75159375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 761.32971875
transcript.pyannote[182].end 769.21034375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 769.24409375
transcript.pyannote[183].end 769.58159375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 770.12159375
transcript.pyannote[184].end 776.63534375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 774.99846875
transcript.pyannote[185].end 783.72284375
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 784.81971875
transcript.pyannote[186].end 787.18221875
transcript.pyannote[187].speaker SPEAKER_01
transcript.pyannote[187].start 787.67159375
transcript.pyannote[187].end 792.31221875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 792.70034375
transcript.pyannote[188].end 794.48909375
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 792.78471875
transcript.pyannote[189].end 793.22346875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 793.99971875
transcript.pyannote[190].end 806.36909375
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 804.63096875
transcript.pyannote[191].end 811.33034375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 806.99346875
transcript.pyannote[192].end 809.30534375
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 810.36846875
transcript.pyannote[193].end 811.87034375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 812.03909375
transcript.pyannote[194].end 817.06784375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 818.24909375
transcript.pyannote[195].end 824.47596875
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 825.01596875
transcript.pyannote[196].end 828.57659375
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 829.08284375
transcript.pyannote[197].end 829.80846875
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 830.58471875
transcript.pyannote[198].end 832.77846875
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 833.30159375
transcript.pyannote[199].end 842.00909375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 842.27909375
transcript.pyannote[200].end 843.78096875
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 843.83159375
transcript.pyannote[201].end 848.64096875
transcript.whisperx[0].start 10.026
transcript.whisperx[0].end 11.847
transcript.whisperx[0].text 主席你的手機嗎主席各位同仁剛才看到我們即將要退休的署長在後面站了那麼久我們質詢又超時,超時一倍叫你站在那邊站那麼久都沒問我覺得對你很不好意思所以現在就請你上來補說明一下
transcript.whisperx[1].start 38.263
transcript.whisperx[1].end 62.983
transcript.whisperx[1].text 我剛剛有跟署長說不好意思部長你也一起啦因為有一些如果有牽涉到署長我們也就主要應該還是來請教署長不過有一些政策的問題這個會請部長來做補充我們其他的沒有關係這個有必要再上來我不像吳宗憲不會罰你們那麼久罰站你們那麼久來這個因為署長即將退休啦所以有一些問題這邊問好像
transcript.whisperx[2].start 69.012
transcript.whisperx[2].end 92.169
transcript.whisperx[2].text 會過去的問題很多,我看你們的報告,過去的問題很多也是累積很久也不是你的問題,那未來的問題好像也不關你的事所以我在這邊這樣子,我有一點不知從何問起但是這是借重署長過去這麼多年服務的經驗所以有一些部分我想要跟你了解說,現在我們到底
transcript.whisperx[3].start 93.297
transcript.whisperx[3].end 117.635
transcript.whisperx[3].text 矯正署的跟我們法務部就這些相關問題到底有什麼樣的對策這個是我整理剛才我看陳培育委員剛才也有整理我們大家都我今天主席會排這個專案報告也是近年來這個我這一年的時間一年的時間看到我們的監獄相關的這些管理失當跟這些暴力事件的一些新聞這些是個案我們只是呈現說過去這一年確實是
transcript.whisperx[4].start 122.819
transcript.whisperx[4].end 139.461
transcript.whisperx[4].text 這些狀況非常多所以我很仔細就一直很期待的看我們法務部跟我們矯正署有關於這些近來這個矯正機關暴力衝突事件頻傳這樣子到底有什麼樣的對策
transcript.whisperx[5].start 142.71
transcript.whisperx[5].end 156.637
transcript.whisperx[5].text 法務部的部分其實我看非常簡單總共兩頁再多三行這兩頁裡面第一其實講的就是說人力不足所以要補充
transcript.whisperx[6].start 157.765
transcript.whisperx[6].end 171.917
transcript.whisperx[6].text 補充人力啦 專業訓練然後再來要科技輔助健全廚藝作為 就這樣子三句話講完啦我也看這個矯正署的報告裡面也其實也同樣的就是同樣這幾個問題只是講得稍微仔細一點我想問題是這樣子啦 署長這個我們
transcript.whisperx[7].start 182.216
transcript.whisperx[7].end 206.001
transcript.whisperx[7].text 就所有報告開宗明義都講說實在是人力不足我們現在人力到底缺多少 你能不能講一下709實際缺額的情形709人709人 這你們報告寫的709人那你們這個矯正數和報告裡面也特別列出了一個表格這個世界各國介乎人力比
transcript.whisperx[8].start 206.781
transcript.whisperx[8].end 235.6
transcript.whisperx[8].text 的一個標準我們台灣是一個人要管9.8個人1比9.8這個9.8是如果人力補足的話一個管9.8現在這個709人還沒補上的話是1比11.4一個人要管11個人多那在日本是1比2.3幾乎一個人是管兩個人左右這是日本新加坡是1比3
transcript.whisperx[9].start 236.921
transcript.whisperx[9].end 254.993
transcript.whisperx[9].text 美國也只有1比4.5確實看起來我們這個介護人力確實是非常的不足這樣子的缺額不足是什麼時候開始是今年這709人的缺額是今年突然缺709人嗎
transcript.whisperx[10].start 262.907
transcript.whisperx[10].end 285.243
transcript.whisperx[10].text 我們預算額是6076人但是剛剛我們部長有提到我們切額709人也就是說我們現在在職的管理人員是5367人以這個比例我們現在大概是我要問的是說這個人力不足的現象是今年發生的嗎
transcript.whisperx[11].start 285.703
transcript.whisperx[11].end 308.63
transcript.whisperx[11].text 不是不是 絕對不是是歷年來嘛累積的累積的啦 累積的那也就是說長期以來都人力不足了那今天我們排這個專案報告說這個狀況嚴重所以你們提出來第一個理由還是人力不足了所以我就要問那人力不足怎麼辦你們現在有什麼樣的政策來處理人力不足跟行政院請爭那因為我們會有辭職商調我們請爭介護人力
transcript.whisperx[12].start 314.145
transcript.whisperx[12].end 342.879
transcript.whisperx[12].text 我們107年 去年沒有做嗎去年沒有做嗎 比如說我們107年就有請增228名然後呢 結果 請增123名那111年配合我們八德外醫間跟雲林二街請增390名所以人力不足不是 署長 按照你們的報告人力不足有很多原因這些原因你們也都列出來了
transcript.whisperx[13].start 344.452
transcript.whisperx[13].end 370.573
transcript.whisperx[13].text 所以呢怎麼辦繼續讓這個缺額繼續擴大嗎當然我們是會努力那在傾徵我們剛剛報告 剛剛委員報告我們有合計傾徵的這幾年下來913名那人種也是有給我們啦只是我們現在還有709名的這個缺額因為我們會有辭職商調的但是其實按照你的報告這709名就算補上了還是1比9點還是1比9.8不是嗎
transcript.whisperx[14].start 374.025
transcript.whisperx[14].end 386.692
transcript.whisperx[14].text 對不對 把缺額補上了1比9.8嘛現在沒有補上是1比11.4嘛所以即使709的缺額全部補上還是人力不足 對不對
transcript.whisperx[15].start 388.64
transcript.whisperx[15].end 411.188
transcript.whisperx[15].text 我們有配合科技安全網還有智慧監獄我先跟你講人力不足嘛你們就講幾個原因嘛你們就說要怎麼營運問你們怎麼營運你們說第一個就是人力不足所以加強專業訓練第二個就是用科技來輔助嘛對不對所以人力的部分沒關係啊 署長你快要退休我知道說這是未來的問題部長你回答一下
transcript.whisperx[16].start 412.108
transcript.whisperx[16].end 438.58
transcript.whisperx[16].text 那到底人力不足怎麼辦就剛才署長有講就請證人力的問題那但是因為整個預算還有編制元額最主要是還有那個整個中央總元額法裡面的一個限制所以我們在請證這部分還經過一般的一個努力但是因為這個部分如果你們不去正視它它就永遠一直惡化下去因為它本身你的招考人數也都不夠
transcript.whisperx[17].start 440.481
transcript.whisperx[17].end 462.058
transcript.whisperx[17].text 然後進來的人也不夠就算全部補滿了還是不夠所以你不去徹底解決他在這些傾徵啦什麼的他永遠就是缺額就是這樣永遠你會面對同樣的問題啦齁這個部分我是希望希望能夠有具體措施啦其實老實講啦一年後再排通話專題出來你們來講是人力不足啦那問題怎麼辦你還是說傾徵啦就這樣子
transcript.whisperx[18].start 465.165
transcript.whisperx[18].end 487.004
transcript.whisperx[18].text 我是希望能夠解決一些問題啦那現在這樣的暴力事件的升級齁這個其實齁監察院我這樣看監察院幾乎每年都有針對我們這個目前的這些監所的這些管理失靈的問題幾乎每年都有調查都有報告
transcript.whisperx[19].start 488.908
transcript.whisperx[19].end 510.857
transcript.whisperx[19].text 那每年這個報告 我就拿去年跟前年這兩年 112年 113年這兩年一個是針對北京的 一個是針對台南監獄這兩個報告拿來比對 幾乎問題都差不多他們的共同缺失也就是說監察院不管他調查幾次他所列出來的缺失幾次都沒有改善其實你們都沒有進行改善
transcript.whisperx[20].start 513.712
transcript.whisperx[20].end 522.238
transcript.whisperx[20].text 請問委員提到北間跟南間是指哪個案子?監察院112年9月13號監察院112私調0017號報告這個是針對北間的這個112年12月11號這個是針對台南監獄的這都是監察院的報告
transcript.whisperx[21].start 537.421
transcript.whisperx[21].end 564.88
transcript.whisperx[21].text 裡面提的其實他的用語不可謂不中法律人說不可謂不中意思就是說其實口氣很重他講說你們這個以112年來講北監一再縱容一再縱容適而不見這些都是他北監的這些用語
transcript.whisperx[22].start 566.308
transcript.whisperx[22].end 592.818
transcript.whisperx[22].text 他裡面有提到這個經常對受刑人經常無故經常無故上銬不當私用電擊棒教唆其他受刑人對這個受刑人服務員對實施折手擊頭推人撞牆毆打等方式這都是監察院的報告這都不是我講的
transcript.whisperx[23].start 595.453
transcript.whisperx[23].end 606.044
transcript.whisperx[23].text 這樣子的這種系統性的所謂他所提到的服務員是誰服務員是所謂服務員是什麼視同作業的這所謂的雜役的什麼雜役 所謂的雜役雜役
transcript.whisperx[24].start 612.194
transcript.whisperx[24].end 627.706
transcript.whisperx[24].text 這些狀況齁 其實我們說包括這些私用借據什麼都我們都有辦法都有規定啦齁但是你們私用借據你們都有要登記時間要登記什麼結果監察院去報告說你們的這些報告多處用立可白圖改多處用立可白圖改也就是你們登記說我幾點開始實驗到後來監察院報告要調查的時候要去用立可白圖改
transcript.whisperx[25].start 639.742
transcript.whisperx[25].end 663.997
transcript.whisperx[25].text 這都監察院的報告啦 這些我也沒有看到你們有任何改善措施啊剛剛你提到科技這兩份這個共同缺失裡面 他就多處提到你們裡面的這個監視器包括你們監視畫面的保全 制度也不完善包括你們這個監視器的死角他們直接指出的監視器死角 有改善嗎
transcript.whisperx[26].start 668.83
transcript.whisperx[26].end 696.303
transcript.whisperx[26].text 我們各監獄會有一個介護的藍圖所以案前的那個我們時間已經到了我很不想再超時了這些女人所發生的包括已經司法在偵辦的有這個管理員對受刑人的有受刑人對受刑人的有受刑人對管理員的這些相關的暴力事件
transcript.whisperx[27].start 697.728
transcript.whisperx[27].end 713.698
transcript.whisperx[27].text 我看你們的這個其實我看包括法務部包括小政署你們的這些書面報告簡單講一個結論就是兩手一攤說沒有辦法就這樣子因為人力不足我們只有靠科技我認為是這樣的態度不好這個
transcript.whisperx[28].start 716.994
transcript.whisperx[28].end 738.554
transcript.whisperx[28].text 我只最後提到這個報告司改會在2017年就已經提出來這個有關這個監所的這個外部監所訪查委員會這部分我知道我們已經成立了我們在2022年成立但是其實現在這些調查你們這個外部外部的這個訪查委員會其實現在
transcript.whisperx[29].start 740.373
transcript.whisperx[29].end 768.554
transcript.whisperx[29].text 你們說一年四季開四次的會那一年交一次視察報告結果這些視察報告其實都是你們今天所寫的對不對撰寫人 撰寫人都是你們我們的要求要由外部視察委員來寫我們要求機關不可以代替視察委員來寫這個報告沒有啦 你回去找每一年的報告上面寫撰寫人都是我們 都不是外部委員都是你們機關的人
transcript.whisperx[30].start 769.315
transcript.whisperx[30].end 783.49
transcript.whisperx[30].text 跟法務部有成立一個委員的遴選小組我們有做一些進進的這個我們內部的控管機制監察院怎麼調查報告怎麼寫每年寫其實我們都沒有去改善
transcript.whisperx[31].start 784.858
transcript.whisperx[31].end 806.524
transcript.whisperx[31].text 我們這個外部的這個訪查委員會我們也沒有去強化他的機能結果就造成這樣的結果報告一件事就是說我們提到的藉機我們在113年的8月有所謂的監獄看守所私用藉機的指引跟私立護電保護的指引所以我們都有要求各機關要確實執行
transcript.whisperx[32].start 812.365
transcript.whisperx[32].end 829.458
transcript.whisperx[32].text 要確實執行的結果就是你們可以去用立可白圖你們使用的時間上面不用有任何修改公文修改你修改你都要去蓋執章你要去簽名說我這修改改字但是你們那個時間用立可白圖了都不用簽名了光這一點
transcript.whisperx[33].start 830.629
transcript.whisperx[33].end 846.879
transcript.whisperx[33].text 你如果改這一點我就阿彌陀佛了不過署長沒有關係恭喜你要退休脫離苦海啦但是這個部長你還沒有要退休我希望你能夠這個相關的這些監所的管理御政我們想辦法從根解決不要每年都討論同樣的問題好不好