iVOD / 158603

Field Value
IVOD_ID 158603
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158603
日期 2025-01-02
會議資料.會議代碼 委員會-11-2-15-20
會議資料.會議代碼:str 第11屆第2會期內政委員會第20次全體委員會議
會議資料.屆 11
會議資料.會期 2
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] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第2會期內政委員會第20次全體委員會議
影片種類 Clip
開始時間 2025-01-02T09:41:59+08:00
結束時間 2025-01-02T09:54:56+08:00
影片長度 00:12:57
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/186d177ad48e30e589abcf335a87bd7cf82bf49b3fbaf4a509f390aeb082454a6e0888262ff463d55ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 張智倫
委員發言時間 09:41:59 - 09:54:56
會議時間 2025-01-02T09:00:00+08:00
會議名稱 立法院第11屆第2會期內政委員會第20次全體委員會議(事由:一、請行政院秘書長率同所屬,就行政院所屬人員涉嫌霸凌案件處置情形專題報告並備質詢。二、繼續審查114年度中央政府總預算案關於行政院部分。三、繼續審查114年度中央政府總預算案關於大陸委員會單位預算。四、繼續審查大陸委員會函送財團法人海峽交流基金會114年度預算書案。五、繼續審查大陸委員會函送財團法人臺港經濟文化合作策進會114年度預算書案。 備註:本次會議開會時間為上午9時至議程處理完竣)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 6.81471875
transcript.pyannote[0].end 7.77659375
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 8.09721875
transcript.pyannote[1].end 10.13909375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 10.27409375
transcript.pyannote[2].end 11.74221875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 15.84284375
transcript.pyannote[3].end 16.61909375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 17.04096875
transcript.pyannote[4].end 30.62534375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 30.79409375
transcript.pyannote[5].end 31.48596875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 31.63784375
transcript.pyannote[6].end 60.40971875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 61.32096875
transcript.pyannote[7].end 107.89596875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 109.58346875
transcript.pyannote[8].end 116.40096875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 116.45159375
transcript.pyannote[9].end 122.34096875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 122.54346875
transcript.pyannote[10].end 129.83346875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 130.13721875
transcript.pyannote[11].end 134.64284375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 133.96784375
transcript.pyannote[12].end 138.45659375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 139.16534375
transcript.pyannote[13].end 147.70409375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 148.80096875
transcript.pyannote[14].end 149.50971875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 149.05409375
transcript.pyannote[15].end 151.61909375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 151.82159375
transcript.pyannote[16].end 155.58471875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 155.61846875
transcript.pyannote[17].end 159.24659375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 159.93846875
transcript.pyannote[18].end 163.76909375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 163.98846875
transcript.pyannote[19].end 165.89534375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 166.21596875
transcript.pyannote[20].end 168.00471875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 168.30846875
transcript.pyannote[21].end 170.01284375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 170.35034375
transcript.pyannote[22].end 171.86909375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 172.49346875
transcript.pyannote[23].end 173.43846875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 173.91096875
transcript.pyannote[24].end 175.41284375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 176.10471875
transcript.pyannote[25].end 177.57284375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 177.97784375
transcript.pyannote[26].end 181.36971875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 182.07846875
transcript.pyannote[27].end 182.23034375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 182.44971875
transcript.pyannote[28].end 187.20846875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 188.22096875
transcript.pyannote[29].end 192.38909375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 194.75159375
transcript.pyannote[30].end 195.27471875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 195.40971875
transcript.pyannote[31].end 195.69659375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 195.86534375
transcript.pyannote[32].end 201.53534375
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 199.83096875
transcript.pyannote[33].end 200.16846875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 201.75471875
transcript.pyannote[34].end 208.15034375
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 208.63971875
transcript.pyannote[35].end 209.02784375
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 209.02784375
transcript.pyannote[36].end 209.60159375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 209.78721875
transcript.pyannote[37].end 225.24471875
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 225.53159375
transcript.pyannote[38].end 234.15471875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 234.99846875
transcript.pyannote[39].end 240.11159375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 240.41534375
transcript.pyannote[40].end 244.66784375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 245.00534375
transcript.pyannote[41].end 246.86159375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 247.11471875
transcript.pyannote[42].end 249.08909375
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 249.76409375
transcript.pyannote[43].end 250.97909375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 251.55284375
transcript.pyannote[44].end 253.08846875
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 253.44284375
transcript.pyannote[45].end 253.79721875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 253.94909375
transcript.pyannote[46].end 263.70284375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 264.37784375
transcript.pyannote[47].end 266.06534375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 266.06534375
transcript.pyannote[48].end 270.90846875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 271.14471875
transcript.pyannote[49].end 277.30409375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 277.77659375
transcript.pyannote[50].end 281.47221875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 281.89409375
transcript.pyannote[51].end 286.21409375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 286.58534375
transcript.pyannote[52].end 287.41221875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 287.44596875
transcript.pyannote[53].end 297.41909375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 297.94221875
transcript.pyannote[54].end 304.82721875
transcript.pyannote[55].speaker SPEAKER_02
transcript.pyannote[55].start 305.21534375
transcript.pyannote[55].end 327.86159375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 328.62096875
transcript.pyannote[56].end 332.99159375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 330.66284375
transcript.pyannote[57].end 334.44284375
transcript.pyannote[58].speaker SPEAKER_02
transcript.pyannote[58].start 334.78034375
transcript.pyannote[58].end 342.25596875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 342.22221875
transcript.pyannote[59].end 343.28534375
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 343.65659375
transcript.pyannote[60].end 347.79096875
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 344.31471875
transcript.pyannote[61].end 344.33159375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 348.02721875
transcript.pyannote[62].end 364.78409375
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 350.08596875
transcript.pyannote[63].end 352.83659375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 364.86846875
transcript.pyannote[64].end 368.05784375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 364.96971875
transcript.pyannote[65].end 374.55471875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 368.90159375
transcript.pyannote[66].end 368.96909375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 371.14596875
transcript.pyannote[67].end 373.74471875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 374.85846875
transcript.pyannote[68].end 375.97221875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 376.34346875
transcript.pyannote[69].end 381.40596875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 382.41846875
transcript.pyannote[70].end 383.85284375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 383.97096875
transcript.pyannote[71].end 390.19784375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 389.48909375
transcript.pyannote[72].end 391.61534375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 391.22721875
transcript.pyannote[73].end 393.26909375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 393.75846875
transcript.pyannote[74].end 394.24784375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 394.99034375
transcript.pyannote[75].end 395.51346875
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 396.71159375
transcript.pyannote[76].end 400.94721875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 401.31846875
transcript.pyannote[77].end 409.16534375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 409.77284375
transcript.pyannote[78].end 416.50596875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 416.75909375
transcript.pyannote[79].end 417.88971875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 418.12596875
transcript.pyannote[80].end 423.10409375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 422.32784375
transcript.pyannote[81].end 424.72409375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 424.92659375
transcript.pyannote[82].end 428.13284375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 428.36909375
transcript.pyannote[83].end 433.22909375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 430.54596875
transcript.pyannote[84].end 444.04596875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 444.83909375
transcript.pyannote[85].end 453.20909375
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 453.76596875
transcript.pyannote[86].end 457.29284375
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 457.79909375
transcript.pyannote[87].end 460.06034375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 460.31346875
transcript.pyannote[88].end 460.95471875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 461.30909375
transcript.pyannote[89].end 462.77721875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 470.84346875
transcript.pyannote[90].end 475.07909375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 472.22721875
transcript.pyannote[91].end 472.96971875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 475.95659375
transcript.pyannote[92].end 477.08721875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 477.28971875
transcript.pyannote[93].end 478.67346875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 480.47909375
transcript.pyannote[94].end 486.53721875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 487.34721875
transcript.pyannote[95].end 492.13971875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 492.67971875
transcript.pyannote[96].end 495.34596875
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 495.61596875
transcript.pyannote[97].end 498.58596875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 496.88159375
transcript.pyannote[98].end 500.45909375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 498.78846875
transcript.pyannote[99].end 498.97409375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 500.61096875
transcript.pyannote[100].end 503.71596875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 503.91846875
transcript.pyannote[101].end 507.81659375
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 506.17971875
transcript.pyannote[102].end 507.91784375
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 508.33971875
transcript.pyannote[103].end 528.80909375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 508.66034375
transcript.pyannote[104].end 508.96409375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 509.01471875
transcript.pyannote[105].end 509.03159375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 512.25471875
transcript.pyannote[106].end 514.66784375
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 529.43346875
transcript.pyannote[107].end 533.43284375
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 533.65221875
transcript.pyannote[108].end 543.08534375
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 543.97971875
transcript.pyannote[109].end 546.17346875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 546.71346875
transcript.pyannote[110].end 547.60784375
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 547.70909375
transcript.pyannote[111].end 548.99159375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 549.17721875
transcript.pyannote[112].end 550.79721875
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 550.89846875
transcript.pyannote[113].end 554.00346875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 554.93159375
transcript.pyannote[114].end 559.21784375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 559.69034375
transcript.pyannote[115].end 561.02346875
transcript.pyannote[116].speaker SPEAKER_02
transcript.pyannote[116].start 559.79159375
transcript.pyannote[116].end 561.22596875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 561.58034375
transcript.pyannote[117].end 562.94721875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 563.43659375
transcript.pyannote[118].end 568.48221875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 568.97159375
transcript.pyannote[119].end 571.89096875
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 572.29596875
transcript.pyannote[120].end 574.03409375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 574.55721875
transcript.pyannote[121].end 576.29534375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 577.05471875
transcript.pyannote[122].end 581.05409375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 581.88096875
transcript.pyannote[123].end 596.57909375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 596.79846875
transcript.pyannote[124].end 597.81096875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 598.23284375
transcript.pyannote[125].end 598.55346875
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 598.65471875
transcript.pyannote[126].end 598.68846875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 598.68846875
transcript.pyannote[127].end 600.32534375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 598.99221875
transcript.pyannote[128].end 600.57846875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 600.57846875
transcript.pyannote[129].end 604.89846875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 600.59534375
transcript.pyannote[130].end 602.31659375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 607.90221875
transcript.pyannote[131].end 610.06221875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 610.23096875
transcript.pyannote[132].end 623.93346875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 624.16971875
transcript.pyannote[133].end 628.74284375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 629.90721875
transcript.pyannote[134].end 634.51409375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 635.07096875
transcript.pyannote[135].end 637.53471875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 638.63159375
transcript.pyannote[136].end 643.54221875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 643.96409375
transcript.pyannote[137].end 645.36471875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 645.93846875
transcript.pyannote[138].end 649.36409375
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 650.00534375
transcript.pyannote[139].end 650.93346875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 651.28784375
transcript.pyannote[140].end 652.53659375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 653.22846875
transcript.pyannote[141].end 655.57409375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 656.08034375
transcript.pyannote[142].end 658.27409375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 658.76346875
transcript.pyannote[143].end 661.96971875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 662.49284375
transcript.pyannote[144].end 664.33221875
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 664.75409375
transcript.pyannote[145].end 667.20096875
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 668.31471875
transcript.pyannote[146].end 672.02721875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 672.70221875
transcript.pyannote[147].end 674.30534375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 674.96346875
transcript.pyannote[148].end 677.14034375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 677.37659375
transcript.pyannote[149].end 681.19034375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 682.06784375
transcript.pyannote[150].end 686.77596875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 687.34971875
transcript.pyannote[151].end 688.49721875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 689.05409375
transcript.pyannote[152].end 690.57284375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 691.34909375
transcript.pyannote[153].end 693.52596875
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 693.77909375
transcript.pyannote[154].end 695.04471875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 695.98971875
transcript.pyannote[155].end 710.19846875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 711.09284375
transcript.pyannote[156].end 713.99534375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 714.56909375
transcript.pyannote[157].end 716.79659375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 717.26909375
transcript.pyannote[158].end 720.35721875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 720.74534375
transcript.pyannote[159].end 721.97721875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 722.50034375
transcript.pyannote[160].end 724.99784375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 724.93034375
transcript.pyannote[161].end 724.96409375
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 724.99784375
transcript.pyannote[162].end 738.46409375
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 725.30159375
transcript.pyannote[163].end 725.95971875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 739.00409375
transcript.pyannote[164].end 742.31159375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 742.76721875
transcript.pyannote[165].end 745.04534375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 745.41659375
transcript.pyannote[166].end 747.52596875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 748.47096875
transcript.pyannote[167].end 749.46659375
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 749.63534375
transcript.pyannote[168].end 750.54659375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 752.03159375
transcript.pyannote[169].end 752.38596875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 752.92596875
transcript.pyannote[170].end 755.30534375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 755.74409375
transcript.pyannote[171].end 759.69284375
transcript.pyannote[172].speaker SPEAKER_02
transcript.pyannote[172].start 760.16534375
transcript.pyannote[172].end 760.84034375
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 761.76846875
transcript.pyannote[173].end 768.43409375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 772.45034375
transcript.pyannote[174].end 773.32784375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 775.25159375
transcript.pyannote[175].end 776.80409375
transcript.whisperx[0].start 6.837
transcript.whisperx[0].end 30.005
transcript.whisperx[0].text 好 謝謝主席 有請行政院龔秘書長好 請龔秘書長張委員早好 秘書長 今天是中華民國一百四年一月二號首先祝在座的各位委員同仁 政府官員以及媒體朋友新年快樂希望大家在新的一年都可以平安健康
transcript.whisperx[1].start 30.925
transcript.whisperx[1].end 58.706
transcript.whisperx[1].text 那昨天也是這個114年的元旦賴清德總統在總統府發表以民主厚實國力移向世界新局的新年談話總統府跟行政院的網站都有轉貼扣掉題目全文總共2975字很可惜沒有提到任何一次中華民國一次都沒有出現過所以本席要跟秘書長請教說希望說在這個
transcript.whisperx[2].start 61.368
transcript.whisperx[2].end 87.106
transcript.whisperx[2].text 元旦發表談話的時候可能說中華民國還是我們的家沒有國就沒有家所以希望說各部會不要只有在單位預算上有寫中華民國四個字那總統的元旦談話也說立法院所通過的爭議法案行政院有權提出復議提供立法院重新審視的空間憲政機關也可以提示憲通過憲法法庭判決明確憲政分際維護憲政秩序鞏固
transcript.whisperx[3].start 91.148
transcript.whisperx[3].end 107.302
transcript.whisperx[3].text 憲政體系所以我現在要請教秘書長就賴信哲總統的談話行政院是不是已經對於去年113年12月20日我們所通過的憲訴法才化法跟拳霸法要提出復議有要提復議嗎
transcript.whisperx[4].start 109.619
transcript.whisperx[4].end 138.029
transcript.whisperx[4].text 因為其中兩個法案基本上我們還沒收到文行政院還沒收到文所以要等到收到文看實際的內容是不是有自愛難行的部分我們才可以進一步的看要怎麼處理那有關於限訴法的部分今天行政院院會的確是有排一個議案是要提訴賦予不過最後的結果還是要行政院院會討論完結束以後決議以後才能夠確認這件事情那我請問秘書長以限訴法提出賦予的原因為何
transcript.whisperx[5].start 139.212
transcript.whisperx[5].end 159.111
transcript.whisperx[5].text 因為限訴法的規定只是說從原有人數改成法定人數三分之二您覺得提出復議的道理請您解釋這難道不是立法委員的職權嗎來請解釋就是說對行政部門來講的話通常在憲法法庭裡面我們要嘛就是被告的
transcript.whisperx[6].start 159.977
transcript.whisperx[6].end 186.288
transcript.whisperx[6].text 我們通常是被告的很多因為現在有好幾百案正在在審理當中要嘛就是我們告人家的所以我們變成是當事人那如果當事人這個這個憲法的法庭他的運作如果沒有辦法運作的話那我們當事人我們的權益會受到一些傷害那您清楚總統提名的大法官的名單被三黨全數否決嗎
transcript.whisperx[7].start 188.24
transcript.whisperx[7].end 207.974
transcript.whisperx[7].text 我知道對啊那你在兩個月內趕快再提出大法官的人選就好啦所以你還是認為復議是有道理的還是你是接受到哪一位長官或是總統給你的下令沒有沒有沒有因為現在開行政院院會嘛他已經排入議程那就要看行政院院會處理的結果
transcript.whisperx[8].start 209.1
transcript.whisperx[8].end 233.654
transcript.whisperx[8].text 好 這個秘書長我還是希望說你們可以給一個完整的答覆為什麼限訴法你們認為要提附議有自然難行之處其實大法官提好提滿是大家人民所能接受的不要是廢死大法官其實大家都可以接受這提醒秘書長第二個總統說才化法需要冷靜再思考為國家尋求長治久安之道請問何謂冷靜 執政黨現在有版本出來了嗎
transcript.whisperx[9].start 235.186
transcript.whisperx[9].end 258.37
transcript.whisperx[9].text 因為還是一樣就是說我們要收到這個正式的函文來以後我們才可以依據裡面的內容來做相關的判斷或處置但是大概有概略性的是有是有這個可能的影響是有做一些估算好因為最近大家其實媒體也吵得紛紛擾擾請問這個主計處有算出來這個財化法最後的結論的時候每個部會要各減28%的預算有算出來了嗎
transcript.whisperx[10].start 264.735
transcript.whisperx[10].end 268.402
transcript.whisperx[10].text 這是主委總書提供的資料都算出來了所以你們會自己先砍28%的預算每個部會每個單位
transcript.whisperx[11].start 271.309
transcript.whisperx[11].end 295.303
transcript.whisperx[11].text 沒有就是我剛才特別提到就是我們要看到正式的新聞以後才有辦法做更進一步的精算所以秘書長我覺得你今天的準備還是這個沒有很很充足啦所以我當然說希望當然希望說這個秘書長你要有肩膀那我總要問你一個問題就是說針對上次的內政委員會在12月18號下午4點當時這個我們
transcript.whisperx[12].start 298.644
transcript.whisperx[12].end 326.183
transcript.whisperx[12].text 學信委員那時候砍了要開會當時有一位秘書長就是您第一個就到回到我們內政委員會坐在第一個位置我還記得那時候我拿起電話打電話說怎麼你一個人到場我那時候我看那個樣子好像你是說你怎麼只有一個人到場其他人都還沒到結果後來所有的行政院的官員才到現場請問你是後來好像聽媒體報導你接到一通電話就起身離開請問那通電話是誰打給您的
transcript.whisperx[13].start 329.085
transcript.whisperx[13].end 335.751
transcript.whisperx[13].text 為什麼您到現場決定要開會而且還要打電話請大家回來以後是誰打給你通電話要求你要離開?是我辦公室同仁他是你下屬還是行政院長?
transcript.whisperx[14].start 348.061
transcript.whisperx[14].end 375.785
transcript.whisperx[14].text 不是 就是我辦公室裡面的他是用什麼回覆回覆給你說要你離開他提醒我 他是提醒我說現在是不是他要我確定說我會留在這邊還是因為我行政院有會議大家在等我回去開會他問我說好 所以你的意思是說其他的其他的會議是比立法院請你提出相關預算的執行還要重要那請問你是什麼會議他請我去
transcript.whisperx[15].start 376.405
transcript.whisperx[15].end 392.74
transcript.whisperx[15].text 他請我確認就是說我要回去開會還是說要繼續留在這邊他沒有請你離開啊沒有 他誤我嘛他誤我說我要繼續留在這邊開會還是那你的回應是你要離開對 後來我決定要離開為什麼離開的原因還是沒有回應對 我剛才特別提到的就是說這個
transcript.whisperx[16].start 396.752
transcript.whisperx[16].end 415.665
transcript.whisperx[16].text 我在就是九點我就來八點多嘛我一直來一直等一直等等到了兩點多表定的這個會議結束以後那這時候的螢幕事實上還顯示會議尚未開始我離開的時候那時候已經兩點多了會議還沒有開始所以我就離開了我想說今天的議程就完畢了
transcript.whisperx[17].start 416.886
transcript.whisperx[17].end 441.054
transcript.whisperx[17].text 阿等到後來等一下秘書長你前後矛盾你一開始說你的同仁打電話給你問你有沒有其他的會議你聽我講完後來徐昭偉他在就是徐昭偉在4點16分的時候他進入那個好秘書長我跟你講我相信這等一下徐昭偉會親自問你因為這是你不尊重我們這個立政委員會的昭偉主席也有打給你可是你離開可是經費的重點專案報告是有關於這個
transcript.whisperx[18].start 445.256
transcript.whisperx[18].end 462.174
transcript.whisperx[18].text 這個霸凌案的部分所以我想要請因為我希望行政院不要只會提復議霸凌案應該也要趕快來去處理針對最近幾個案子有關於這個秘書處的徐處長的事情現在我想要請教徐處長在嗎
transcript.whisperx[19].start 470.865
transcript.whisperx[19].end 486.092
transcript.whisperx[19].text 好 秘書長要幫徐處長回答嗎我請教就媒體所披露的他有這個讓這個斷肢的工友下課痛哭酒醒才能調職有這件事情嗎這件事情後來怎麼處理
transcript.whisperx[20].start 487.703
transcript.whisperx[20].end 498.954
transcript.whisperx[20].text 報告委員那個是這樣據我的了解就是說因為這位同仁他要調職我只請教有沒有他下跪痛哭求情才能夠調職這件事情我們處長說他說他要下跪我們處長說我們一起跪
transcript.whisperx[21].start 504.019
transcript.whisperx[21].end 532.454
transcript.whisperx[21].text 因為這個工友對這個缺乏知名協助股那怎麼會讓一個工友好 第一件事怎麼會讓這個工友下跪痛哭絕情才能調職這第一個問題那第二個問題也是媒體所披露的就是跟同單位的誠信資訊長這個比 我認為比霸凌還要嚴重可是在今天的調查報告裡面完全沒有寫對於這個不免令的事情其實剛剛這個徐處長也有想要跟我解釋那我只是想問徐處長說
transcript.whisperx[22].start 534.015
transcript.whisperx[22].end 553.534
transcript.whisperx[22].text 為什麼會在這個7月26跟8月1號兩次質詢徐耕成下班後到閒置的副院長官邸約會?請問到底是在做什麼?那在裡面待了一個半小時到底在做什麼?可以這樣子公器私用嗎?而且還在下班時間這樣子難道秘書長你還要偏袒他嗎?
transcript.whisperx[23].start 555.277
transcript.whisperx[23].end 580.694
transcript.whisperx[23].text 因為是講說因為那個時候這個房屋要修繕修繕一個半小時他要檢查去看嘛就是說了解一下情況是這樣那另外一同仁他是承辦人當然處長去承辦人也要去要不然怎麼樣去說怎麼樣去維護這個這個修繕的工作因為這個已經發包了已經要確定要怎麼做了要趕快確定下來
transcript.whisperx[24].start 581.923
transcript.whisperx[24].end 603.513
transcript.whisperx[24].text 那我再請教喔,請問秘書長你要繼續回答嗎?那我請教喔,那我因為時間的關係喔,那請問他們在媒體裡有說這個在吃早餐,每天都在早上吃早餐而且要把門關起來,中午要吃中餐沒有這樣的事所以媒體批調是錯的嗎?沒有這樣的事,對好,那我是用一點時間,我是不是可以請徐處長來接受質詢
transcript.whisperx[25].start 607.932
transcript.whisperx[25].end 626.603
transcript.whisperx[25].text 好 徐市長因為時間的關係我看到報導裡面有講其實你的個性其實是很溫馴的我是不是給你最後的時間因為我覺得不穩定的這件事情受傷最大的就是你的家人是不是給你一段時間讓你跟你的家人可以說幾句話好 感謝委員讓我有這個時間來說明這一切
transcript.whisperx[26].start 629.949
transcript.whisperx[26].end 645.121
transcript.whisperx[26].text 那個暴早7月25號不是7月26號我們進去寓所各位都知道7月26號是颱風天颱風過近之後其實我們上班後的第一天我們秘書處是最忙的我們到處去善後
transcript.whisperx[27].start 645.982
transcript.whisperx[27].end 667.037
transcript.whisperx[27].text 那7月26號那一天,其實一整天都在善後到了下班前,懲判同仁跟我講說我們那個獄所還沒有處理那接下來就是禮拜六禮拜天他不想要拖過兩個假日禮拜一再去處理他跟我說他要先去看一下所以懲判人是相當負責任的懲判人
transcript.whisperx[28].start 668.359
transcript.whisperx[28].end 694.819
transcript.whisperx[28].text 他跟我說完之後其實我當初還在忙我就說好您先去我等一下公事忙完我就去了可是事實上我心裡內心是在想說讓一個女孩子自己去預鎖我是不太放心的所以他去了沒有多久我就我公事處理完我也就跟著去了去了之後發現那個烏瓦破了一個大洞那個整個天花板已經是垮下來了我這邊都有剪付照片
transcript.whisperx[29].start 697.293
transcript.whisperx[29].end 716.547
transcript.whisperx[29].text 那8月1號呢8月1號各位可以看一下8月1號是過了一個禮拜因為其實那個中間我那個烏瓦的處理因為我們馬上就要大修了所以說我們就自己用簡易的修繕方式處理7月26號的時候我是用一個塑膠布蓋在上面然後拿一個烏瓦蓋著
transcript.whisperx[30].start 717.327
transcript.whisperx[30].end 737.552
transcript.whisperx[30].text 那8月1號的時候 各位去看一下天氣那天是下雨的一樣的狀況 我們想說下雨的時候好 所以組長 這個細節的部分我希望說會後時間關係會後提書面資料再給本席到底在裡面一個半小時是多少所以您剛我想要請你對您家人說幾話所以你認為你是沒有任何的問題嗎
transcript.whisperx[31].start 739.162
transcript.whisperx[31].end 767.584
transcript.whisperx[31].text 當然沒有任何的問題我是覺得這個報宅對我的家人還有同仁都造成了莫大的傷害這個我希望希望能夠還我一個清白謝謝好 謝謝處長那今天實現的關係我希望說未來還是要有這個跟下屬的分際那我希望說新的一年大家很多事情一起繼續努力謝謝
transcript.whisperx[32].start 772.5
transcript.whisperx[32].end 776.099
transcript.whisperx[32].text 好 那我們接下來