iVOD / 158969

Field Value
IVOD_ID 158969
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/158969
日期 2025-02-25
會議資料.會議代碼 院會-11-3-2
會議資料.會議代碼:str 第11屆第3會期第2次會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 2
會議資料.種類 院會
會議資料.標題 第11屆第3會期第2次會議
影片種類 Clip
開始時間 2025-02-25T14:30:38+08:00
結束時間 2025-02-25T14:46:52+08:00
影片長度 00:16:14
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/7410aefb2dded674723bb242a272b869b12e281e566aaf6891e94b31dc63882b69e402d4bcb505e45ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 吳思瑤
委員發言時間 14:30:38 - 14:46:52
會議時間 2025-02-25T09:00:00+08:00
會議名稱 第11屆第3會期第2次會議(事由:行政院院長提出施政方針及施政報告並備質詢。)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.28409375
transcript.pyannote[0].end 2.27534375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 2.27534375
transcript.pyannote[1].end 2.29221875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 2.78159375
transcript.pyannote[2].end 4.70534375
transcript.pyannote[3].speaker SPEAKER_04
transcript.pyannote[3].start 13.86846875
transcript.pyannote[3].end 14.49284375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 14.94846875
transcript.pyannote[4].end 18.50909375
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 19.11659375
transcript.pyannote[5].end 23.40284375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 24.09471875
transcript.pyannote[6].end 26.89596875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 27.36846875
transcript.pyannote[7].end 28.56659375
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 29.00534375
transcript.pyannote[8].end 31.62096875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 32.48159375
transcript.pyannote[9].end 37.64534375
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 37.98284375
transcript.pyannote[10].end 45.84659375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 46.28534375
transcript.pyannote[11].end 54.45284375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 54.70596875
transcript.pyannote[12].end 76.45784375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 77.14971875
transcript.pyannote[13].end 77.84159375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 78.49971875
transcript.pyannote[14].end 84.00096875
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 84.45659375
transcript.pyannote[15].end 90.53159375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 90.80159375
transcript.pyannote[16].end 91.15596875
transcript.pyannote[17].speaker SPEAKER_04
transcript.pyannote[17].start 92.13471875
transcript.pyannote[17].end 93.06284375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 93.51846875
transcript.pyannote[18].end 94.05846875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 94.31159375
transcript.pyannote[19].end 94.63221875
transcript.pyannote[20].speaker SPEAKER_04
transcript.pyannote[20].start 94.63221875
transcript.pyannote[20].end 94.93596875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 94.93596875
transcript.pyannote[21].end 95.89784375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 97.09596875
transcript.pyannote[22].end 99.20534375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 99.81284375
transcript.pyannote[23].end 100.42034375
transcript.pyannote[24].speaker SPEAKER_04
transcript.pyannote[24].start 103.20471875
transcript.pyannote[24].end 104.63909375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 104.87534375
transcript.pyannote[25].end 105.34784375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 105.65159375
transcript.pyannote[26].end 106.34346875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 106.54596875
transcript.pyannote[27].end 109.19534375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 109.73534375
transcript.pyannote[28].end 111.37221875
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 112.08096875
transcript.pyannote[29].end 121.91909375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 122.89784375
transcript.pyannote[30].end 126.03659375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 126.69471875
transcript.pyannote[31].end 130.35659375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 130.81221875
transcript.pyannote[32].end 132.24659375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 132.78659375
transcript.pyannote[33].end 133.49534375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 133.88346875
transcript.pyannote[34].end 144.86909375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 145.35846875
transcript.pyannote[35].end 161.15346875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 161.84534375
transcript.pyannote[36].end 171.63284375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 172.39221875
transcript.pyannote[37].end 173.48909375
transcript.pyannote[38].speaker SPEAKER_02
transcript.pyannote[38].start 174.02909375
transcript.pyannote[38].end 178.60221875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 178.80471875
transcript.pyannote[39].end 179.81721875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 180.35721875
transcript.pyannote[40].end 180.86346875
transcript.pyannote[41].speaker SPEAKER_02
transcript.pyannote[41].start 181.55534375
transcript.pyannote[41].end 182.53409375
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 182.71971875
transcript.pyannote[42].end 185.62221875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 185.70659375
transcript.pyannote[43].end 189.09846875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 189.52034375
transcript.pyannote[44].end 191.81534375
transcript.pyannote[45].speaker SPEAKER_02
transcript.pyannote[45].start 192.35534375
transcript.pyannote[45].end 193.60409375
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 193.70534375
transcript.pyannote[46].end 198.43034375
transcript.pyannote[47].speaker SPEAKER_02
transcript.pyannote[47].start 199.37534375
transcript.pyannote[47].end 206.14221875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 206.53034375
transcript.pyannote[48].end 208.80846875
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 209.12909375
transcript.pyannote[49].end 213.61784375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 214.07346875
transcript.pyannote[50].end 214.98471875
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 215.84534375
transcript.pyannote[51].end 224.11409375
transcript.pyannote[52].speaker SPEAKER_02
transcript.pyannote[52].start 224.78909375
transcript.pyannote[52].end 242.62596875
transcript.pyannote[53].speaker SPEAKER_02
transcript.pyannote[53].start 243.14909375
transcript.pyannote[53].end 276.10596875
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 277.05096875
transcript.pyannote[54].end 277.75971875
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 279.05909375
transcript.pyannote[55].end 281.96159375
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 281.99534375
transcript.pyannote[56].end 286.36596875
transcript.pyannote[57].speaker SPEAKER_04
transcript.pyannote[57].start 286.02846875
transcript.pyannote[57].end 287.80034375
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 287.96909375
transcript.pyannote[58].end 301.75596875
transcript.pyannote[59].speaker SPEAKER_04
transcript.pyannote[59].start 302.14409375
transcript.pyannote[59].end 302.59971875
transcript.pyannote[60].speaker SPEAKER_04
transcript.pyannote[60].start 302.78534375
transcript.pyannote[60].end 312.21846875
transcript.pyannote[61].speaker SPEAKER_04
transcript.pyannote[61].start 312.55596875
transcript.pyannote[61].end 320.16659375
transcript.pyannote[62].speaker SPEAKER_04
transcript.pyannote[62].start 320.23409375
transcript.pyannote[62].end 321.29721875
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 321.41534375
transcript.pyannote[63].end 326.03909375
transcript.pyannote[64].speaker SPEAKER_04
transcript.pyannote[64].start 326.19096875
transcript.pyannote[64].end 328.90784375
transcript.pyannote[65].speaker SPEAKER_04
transcript.pyannote[65].start 329.05971875
transcript.pyannote[65].end 330.84846875
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 331.30409375
transcript.pyannote[66].end 332.14784375
transcript.pyannote[67].speaker SPEAKER_04
transcript.pyannote[67].start 332.48534375
transcript.pyannote[67].end 334.61159375
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 334.99971875
transcript.pyannote[68].end 336.13034375
transcript.pyannote[69].speaker SPEAKER_04
transcript.pyannote[69].start 336.68721875
transcript.pyannote[69].end 340.83846875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 339.38721875
transcript.pyannote[70].end 340.31534375
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 341.46284375
transcript.pyannote[71].end 344.29784375
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 344.82096875
transcript.pyannote[72].end 356.22846875
transcript.pyannote[73].speaker SPEAKER_02
transcript.pyannote[73].start 356.58284375
transcript.pyannote[73].end 402.51659375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 403.10721875
transcript.pyannote[74].end 429.95534375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 430.39409375
transcript.pyannote[75].end 435.55784375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 435.59159375
transcript.pyannote[76].end 453.64784375
transcript.pyannote[77].speaker SPEAKER_04
transcript.pyannote[77].start 453.88409375
transcript.pyannote[77].end 456.66846875
transcript.pyannote[78].speaker SPEAKER_04
transcript.pyannote[78].start 457.10721875
transcript.pyannote[78].end 459.80721875
transcript.pyannote[79].speaker SPEAKER_04
transcript.pyannote[79].start 459.89159375
transcript.pyannote[79].end 466.91159375
transcript.pyannote[80].speaker SPEAKER_04
transcript.pyannote[80].start 467.11409375
transcript.pyannote[80].end 471.21471875
transcript.pyannote[81].speaker SPEAKER_04
transcript.pyannote[81].start 471.28221875
transcript.pyannote[81].end 474.94409375
transcript.pyannote[82].speaker SPEAKER_04
transcript.pyannote[82].start 475.87221875
transcript.pyannote[82].end 481.79534375
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 481.98096875
transcript.pyannote[83].end 486.14909375
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 486.36846875
transcript.pyannote[84].end 496.47659375
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 496.84784375
transcript.pyannote[85].end 497.57346875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 498.01221875
transcript.pyannote[86].end 498.65346875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 499.22721875
transcript.pyannote[87].end 500.56034375
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 501.04971875
transcript.pyannote[88].end 503.20971875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 503.61471875
transcript.pyannote[89].end 504.61034375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 505.75784375
transcript.pyannote[90].end 506.46659375
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 506.95596875
transcript.pyannote[91].end 518.29596875
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 518.76846875
transcript.pyannote[92].end 531.27284375
transcript.pyannote[93].speaker SPEAKER_04
transcript.pyannote[93].start 532.48784375
transcript.pyannote[93].end 534.09096875
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 534.86721875
transcript.pyannote[94].end 539.42346875
transcript.pyannote[95].speaker SPEAKER_04
transcript.pyannote[95].start 539.59221875
transcript.pyannote[95].end 541.60034375
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 541.85346875
transcript.pyannote[96].end 542.69721875
transcript.pyannote[97].speaker SPEAKER_04
transcript.pyannote[97].start 543.15284375
transcript.pyannote[97].end 547.21971875
transcript.pyannote[98].speaker SPEAKER_04
transcript.pyannote[98].start 547.72596875
transcript.pyannote[98].end 551.60721875
transcript.pyannote[99].speaker SPEAKER_04
transcript.pyannote[99].start 551.69159375
transcript.pyannote[99].end 554.62784375
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 554.86409375
transcript.pyannote[100].end 556.63596875
transcript.pyannote[101].speaker SPEAKER_04
transcript.pyannote[101].start 556.85534375
transcript.pyannote[101].end 559.48784375
transcript.pyannote[102].speaker SPEAKER_04
transcript.pyannote[102].start 559.80846875
transcript.pyannote[102].end 563.72346875
transcript.pyannote[103].speaker SPEAKER_04
transcript.pyannote[103].start 564.01034375
transcript.pyannote[103].end 566.32221875
transcript.pyannote[104].speaker SPEAKER_04
transcript.pyannote[104].start 566.57534375
transcript.pyannote[104].end 570.28784375
transcript.pyannote[105].speaker SPEAKER_04
transcript.pyannote[105].start 570.54096875
transcript.pyannote[105].end 577.30784375
transcript.pyannote[106].speaker SPEAKER_04
transcript.pyannote[106].start 577.64534375
transcript.pyannote[106].end 579.73784375
transcript.pyannote[107].speaker SPEAKER_04
transcript.pyannote[107].start 579.78846875
transcript.pyannote[107].end 582.03284375
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 582.48846875
transcript.pyannote[108].end 584.42909375
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 584.54721875
transcript.pyannote[109].end 586.89284375
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 587.29784375
transcript.pyannote[110].end 597.42284375
transcript.pyannote[111].speaker SPEAKER_04
transcript.pyannote[111].start 597.91221875
transcript.pyannote[111].end 598.84034375
transcript.pyannote[112].speaker SPEAKER_04
transcript.pyannote[112].start 599.49846875
transcript.pyannote[112].end 601.81034375
transcript.pyannote[113].speaker SPEAKER_04
transcript.pyannote[113].start 602.01284375
transcript.pyannote[113].end 607.04159375
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 607.36221875
transcript.pyannote[114].end 611.86784375
transcript.pyannote[115].speaker SPEAKER_04
transcript.pyannote[115].start 611.90159375
transcript.pyannote[115].end 618.11159375
transcript.pyannote[116].speaker SPEAKER_04
transcript.pyannote[116].start 619.15784375
transcript.pyannote[116].end 620.06909375
transcript.pyannote[117].speaker SPEAKER_04
transcript.pyannote[117].start 620.18721875
transcript.pyannote[117].end 625.04721875
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 624.38909375
transcript.pyannote[118].end 626.63346875
transcript.pyannote[119].speaker SPEAKER_04
transcript.pyannote[119].start 625.67159375
transcript.pyannote[119].end 626.17784375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 627.03846875
transcript.pyannote[120].end 674.52471875
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 664.16346875
transcript.pyannote[121].end 664.18034375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 664.18034375
transcript.pyannote[122].end 664.19721875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 664.19721875
transcript.pyannote[123].end 664.31534375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 674.94659375
transcript.pyannote[124].end 678.79409375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 678.94596875
transcript.pyannote[125].end 693.72846875
transcript.pyannote[126].speaker SPEAKER_04
transcript.pyannote[126].start 694.26846875
transcript.pyannote[126].end 697.15409375
transcript.pyannote[127].speaker SPEAKER_04
transcript.pyannote[127].start 697.72784375
transcript.pyannote[127].end 703.39784375
transcript.pyannote[128].speaker SPEAKER_03
transcript.pyannote[128].start 703.61721875
transcript.pyannote[128].end 703.98846875
transcript.pyannote[129].speaker SPEAKER_04
transcript.pyannote[129].start 703.98846875
transcript.pyannote[129].end 712.81409375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 713.70846875
transcript.pyannote[130].end 714.50159375
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 714.77159375
transcript.pyannote[131].end 719.93534375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 718.24784375
transcript.pyannote[132].end 735.47721875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 735.84846875
transcript.pyannote[133].end 752.92596875
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 753.17909375
transcript.pyannote[134].end 761.90346875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 762.17346875
transcript.pyannote[135].end 779.06534375
transcript.pyannote[136].speaker SPEAKER_04
transcript.pyannote[136].start 778.44096875
transcript.pyannote[136].end 780.07784375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 780.09471875
transcript.pyannote[137].end 780.34784375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 780.65159375
transcript.pyannote[138].end 785.62971875
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 786.54096875
transcript.pyannote[139].end 787.09784375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 787.55346875
transcript.pyannote[140].end 791.04659375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 791.70471875
transcript.pyannote[141].end 793.34159375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 794.03346875
transcript.pyannote[142].end 800.22659375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 800.56409375
transcript.pyannote[143].end 811.00971875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 811.36409375
transcript.pyannote[144].end 817.54034375
transcript.pyannote[145].speaker SPEAKER_02
transcript.pyannote[145].start 817.97909375
transcript.pyannote[145].end 836.42346875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 836.79471875
transcript.pyannote[146].end 839.20784375
transcript.pyannote[147].speaker SPEAKER_02
transcript.pyannote[147].start 839.34284375
transcript.pyannote[147].end 842.85284375
transcript.pyannote[148].speaker SPEAKER_02
transcript.pyannote[148].start 843.19034375
transcript.pyannote[148].end 851.57721875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 852.04971875
transcript.pyannote[149].end 898.32096875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 898.77659375
transcript.pyannote[150].end 901.84784375
transcript.pyannote[151].speaker SPEAKER_02
transcript.pyannote[151].start 902.40471875
transcript.pyannote[151].end 904.95284375
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 905.34096875
transcript.pyannote[152].end 910.16721875
transcript.pyannote[153].speaker SPEAKER_02
transcript.pyannote[153].start 910.58909375
transcript.pyannote[153].end 917.45721875
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 931.76721875
transcript.pyannote[154].end 935.02409375
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 936.71159375
transcript.pyannote[155].end 937.03221875
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 938.07846875
transcript.pyannote[156].end 938.43284375
transcript.pyannote[157].speaker SPEAKER_01
transcript.pyannote[157].start 950.97096875
transcript.pyannote[157].end 951.39284375
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 951.69659375
transcript.pyannote[158].end 951.76409375
transcript.pyannote[159].speaker SPEAKER_01
transcript.pyannote[159].start 951.96659375
transcript.pyannote[159].end 952.48971875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 952.72596875
transcript.pyannote[160].end 959.03721875
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 955.34159375
transcript.pyannote[161].end 955.89846875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 962.59784375
transcript.pyannote[162].end 964.03221875
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 964.23471875
transcript.pyannote[163].end 964.48784375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 964.53846875
transcript.pyannote[164].end 964.77471875
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 964.79159375
transcript.pyannote[165].end 965.51721875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 968.23409375
transcript.pyannote[166].end 968.48721875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 968.50409375
transcript.pyannote[167].end 968.52096875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 972.79034375
transcript.pyannote[168].end 974.51159375
transcript.whisperx[0].start 0.77
transcript.whisperx[0].end 4.452
transcript.whisperx[0].text 謝謝主席有請卓院長麻煩請卓院長再次備選吳委員好
transcript.whisperx[1].start 15.274
transcript.whisperx[1].end 31.243
transcript.whisperx[1].text 院長午安所有內閣團隊大家辛苦大家午安我想今天的破題就扣合著上午卓院長所定的調團結比什麼都重要而我要加一句民生比什麼都優先
transcript.whisperx[2].start 32.563
transcript.whisperx[2].end 53.953
transcript.whisperx[2].text 走過2024毀憲亂政、民主失靈的一年我非常的期待在新會期我們能夠撥亂反正而不是重蹈覆轍所以我自己自我期許2025年是國會民主重建重回正軌的一年
transcript.whisperx[3].start 54.813
transcript.whisperx[3].end 77.386
transcript.whisperx[3].text 而當中既然在野黨也口口聲聲說民生優先民生第一我們就衷心的期盼他不會是狼來了而是真心誠意的在團結的基礎上在民生優先的這個理念上我們一起來努力那夏業
transcript.whisperx[4].start 78.564
transcript.whisperx[4].end 100.218
transcript.whisperx[4].text 您今天是上任第281天喔我給您一個開放題喔院長可以自評一下您認為您是史上最什麼什麼的院長來最富裕的院長富裕富裕啊富裕最多的院長還有呢
transcript.whisperx[5].start 103.226
transcript.whisperx[5].end 120.899
transcript.whisperx[5].text 其他都很幸福美滿除了被迫要復藝多以外好 下一頁就是思堯的觀察您是史上最難為的行政院院長因為面對國際的變局面對中國的步步進逼乃至於在國會
transcript.whisperx[6].start 123.012
transcript.whisperx[6].end 143.921
transcript.whisperx[6].text 受到在野黨的杯葛執政您都是最為難為挑戰最多的院長您剛提到了復議因為您面對的違憲法案最多不管是提出復議還包括目前有三個法案都已經提出釋憲而國會擴選法案已被宣判違憲
transcript.whisperx[7].start 145.422
transcript.whisperx[7].end 170.2
transcript.whisperx[7].text 第二呢您面對的錢坑法案、肉桶法案也最多我這個會期又重新幫您試算了一下現在各黨在野黨的委員提出來的錢坑肉桶法案有33個案不管是一次性的經費或者是分年度的支出至少國庫一年3兆3500億起跳這非常可怕
transcript.whisperx[8].start 174.076
transcript.whisperx[8].end 197.81
transcript.whisperx[8].text 您面對的也是史上總預算被刪減最高的一次所以說在面對這麼多的困難當中您是史上最難為的院長夏業但是我同時也要為您平反您是我所看到史上最努力溝通的院長怎麼說
transcript.whisperx[9].start 199.437
transcript.whisperx[9].end 214.446
transcript.whisperx[9].text 在窮盡一切的努力在各個階段在各種可能性您都不放棄努力我回溯一下過去的這一年您記得嗎10月11號我們跟韓院長一起吃了和解飯
transcript.whisperx[10].start 215.902
transcript.whisperx[10].end 242.351
transcript.whisperx[10].text 然後11月7號您又再次的邀集各黨的黨鞭到行政院您的御山廳我們一起針對總預算立委不應當片面的以修法的方式來增加政府預算之支出這違反憲法預算法跟財政紀律法您希望透過這個協調去定下彼此的遊戲規則這是第二次您的努力
transcript.whisperx[11].start 243.231
transcript.whisperx[11].end 268.842
transcript.whisperx[11].text 第三次當然是總統依據憲法44條來進行的院計協商之後您依舊不放棄溝通您努力的促成了也感謝韓院長召開再一次的總預算協商即便我們都知道三讀通過的總預算如果要能夠去做調整它存在著巨大的困難但是不放棄努力
transcript.whisperx[12].start 269.562
transcript.whisperx[12].end 276.119
transcript.whisperx[12].text 所以我說您是一個史上最努力溝通的行政院院長我要為您平反您認為呢
transcript.whisperx[13].start 279.593
transcript.whisperx[13].end 301.144
transcript.whisperx[13].text 委員這是鼓勵還是這是鼓勵這是加冕我也期待您未來還需要不放棄溝通市長委員您這樣的說法面對違憲最多的法案還好我們有憲法的救濟程序面對錢坑法案還好我們在立法院還有很多的機會可以好好的以福國利民的法案為優先
transcript.whisperx[14].start 302.225
transcript.whisperx[14].end 330.667
transcript.whisperx[14].text 那麼面對那麼多被刪減的預算還好我有提出我們是因為新增事項很多所以我們不是胡亂編一個史上最高的至於說溝通協調這個本來就是在政治上必須要做的工作也不是我單人一人所為也謝謝韓院長更謝謝總統在適時的時候出面更謝謝朝野各黨團也能夠坐下來討論即使我在剛剛的報告當中所說的過去的這一年行政立法兩院
transcript.whisperx[15].start 331.363
transcript.whisperx[15].end 355.861
transcript.whisperx[15].text 在磨合期,風波起起伏伏但我相信,風波總會過去風平浪靜,雨過天晴的那一天總會來到民主就是不斷的對話,下一頁所以呢,很多在野黨的委員,包括您剛剛也自嘲您是提出富裕最多的一個院長但我要說,當立法院違憲成為慣例的時候
transcript.whisperx[16].start 356.781
transcript.whisperx[16].end 382.363
transcript.whisperx[16].text 行政部門、憲政機關的維護憲法就是必須因為你必須要善盡憲法賦予您的憲法忠誠義務不管是提起復議讓立法院針對至愛難行的法案重新審視或者是依循核憲的程序提出暫時處分或釋憲這都是您的不得不然下一頁
transcript.whisperx[17].start 383.104
transcript.whisperx[17].end 402.125
transcript.whisperx[17].text 辛惠琪的新期許韓院長也在這我在這裡希望我再一次說2025應該是台灣國會重建民主的一年我們希望四個期許第一個擱置爭議的議題我們一起努力去做到民生優先
transcript.whisperx[18].start 403.186
transcript.whisperx[18].end 429.103
transcript.whisperx[18].text 第二個沒有討論不是民主國會應當要進行民主的討論程序而最重要的討論機制場域就在委員會的中心主義要被落實讓專業說話最後一個有賴於韓院長我們必須讓協商真正的成為對話的場域而不是過水快轉
transcript.whisperx[19].start 430.464
transcript.whisperx[19].end 453.291
transcript.whisperx[19].text 的假協商只重程序而沒有實質的協商那不利於台灣國會民主的重建所以我個人也擔任一年以來的黨鞭我非常的期待2025我們一起努力讓台灣的國會能夠重建民主這四大期許我們一起努力來做到好嗎
transcript.whisperx[20].start 453.931
transcript.whisperx[20].end 474.399
transcript.whisperx[20].text 委員你也是最辛苦最強的幹事長你也帶領黨團在總召的領導者下我們確實在這個環境底下做了很多我們原先以為不會那麼順利的事情這是大家共同努力的結果我也出身立法院我絕對尊重立法院只要立法院任何一個法案跟預算合法合憲而且經過
transcript.whisperx[21].start 475.956
transcript.whisperx[21].end 504.189
transcript.whisperx[21].text 法定程序經過實質的協商經過民主的投票出來的結果行政院一定遵守所以國會應當是一個少數服從多數但是多數一定要尊重少數讓少數的意見多元的意見能夠被傳達而不是被噤聲下一頁再下一頁再下一頁當然這個會期在野黨提出來了很多民生
transcript.whisperx[22].start 505.816
transcript.whisperx[22].end 531.068
transcript.whisperx[22].text 的議案但是我要強調民生議案也必然要經過多元而充分的討論匯聚社會的共識首先國定假日的天數調整立法院已經有19個立委的版本那行政院的立場我相信您也收集了各方的意見可以簡要跟我們說明就國定假日的天數調整目前您這裡的言議目前我們的國定假日
transcript.whisperx[23].start 534.952
transcript.whisperx[23].end 562.993
transcript.whisperx[23].text 是一年有115或116天因為論年的關係那這個是符合大院的這個附帶決議的文字所以我們一直在這裡面調整那現在我們有聽到很多的聲音希望能夠多增加但一個增加會超出這樣的立法院當初大院的一個文字再來增加要增加到哪裡去要增加哪一天增加什麼節目他必須要有
transcript.whisperx[24].start 564.55
transcript.whisperx[24].end 581.601
transcript.whisperx[24].text 對國人來有意義對國家要有意義所以我們一直希望說能夠採全國的一致性的原則而且增加的要能夠我希望以社會付出成本最低變化最少的方式來增加所以如果能這個討論底下那大家能夠很公開理性的討論
transcript.whisperx[25].start 582.901
transcript.whisperx[25].end 598.271
transcript.whisperx[25].text 最近大家提到七天假但是我還是很清楚的要報告沒有所謂七天假要不要還的問題因為七天假的前提是我們在沒有落實週休二日的時候是馬前總統那個時候提出的以落實
transcript.whisperx[26].start 599.692
transcript.whisperx[26].end 617.939
transcript.whisperx[26].text 週休二日的時候七天假就取消那現在我們有95%的執行率達成率幾乎國人95%都有落實到週休二日所以沒有所謂七天假但是要不要回復哪一天如果它具有特殊的意義有全國的一致性那麼變動也會最少
transcript.whisperx[27].start 619.189
transcript.whisperx[27].end 644.351
transcript.whisperx[27].text 好野各方產業界跟勞動朋友都能夠來一致的話那我們可以找出一個最佳解下一頁所以我的主張也跟您雷同我認為增加假日是可以正向積極的討論但是要還原事實您剛剛說的這幾年來我們改善勞權週休二日上路之後現在週休二日的比例已經來到94.77%
transcript.whisperx[28].start 647.293
transcript.whisperx[28].end 672.222
transcript.whisperx[28].text 而也搭配了縮短工時週休二日加上增加特別休假的幾個配套現在台灣受僱員工的總工時已經降到2020年一個小時但是我們不滿意我們還要持續的精進但是回到這個關鍵的議題就是我非常同意您說的增加假日應當是建立制度
transcript.whisperx[29].start 672.922
transcript.whisperx[29].end 693.128
transcript.whisperx[29].text 全國一致我個人也看了19個版本我認為各個版本的立法旗艦人多如果能夠行政院是不是研議就現行的辦法下手可以更有彈性的來增加假日的部分來促成擴大多元的對話
transcript.whisperx[30].start 694.955
transcript.whisperx[30].end 712.724
transcript.whisperx[30].text 關於勞動工時的問題因為我們國家的計算跟其他國家的計算有一個基礎的不同是部分工時我們是比較少其他國家比較多所以合併算起來我們的工時會比較長這個勞動部可以再詳細說明所以紀念日的法制化我請內政部也可以說明
transcript.whisperx[31].start 713.789
transcript.whisperx[31].end 742.096
transcript.whisperx[31].text 所以部長有要提出對岸的修法還是我們傾向用行政命令現行的要點目前為止我們希望能夠維持現狀因為19個委員的版本都會有特別身份的人要特別放假但是跟剛剛所說的勞動基準法在105年公布之後現在所有的工時或是所有的放假日已經跟軍公教都齊平那我們會認為說第一個維持現狀第二個就是我們剛剛所提到的這個制度要建立的時候要有共識
transcript.whisperx[32].start 742.876
transcript.whisperx[32].end 761.445
transcript.whisperx[32].text 我們去年十月在內政委員會的時候邀集各方的包括中小企業的團體來的時候他們的說法就跟一般的勞團的說法不見相同所以我們覺得說如果沒有各方有共識之前貿然就把這個國定假日法變成是一個法律案的話恐怕會有很多不同的爭議
transcript.whisperx[33].start 762.205
transcript.whisperx[33].end 786.75
transcript.whisperx[33].text 好那我收到我們那個目前的研議我們希望由現行的實施辦法來著手但是擴大對話正向來研議不管是增加幾天我們都願意往這方面一起來促成各界的一個意見交流我願意跟大家來討論好那因為時間非常短我回到這個最後一個議題壯世代的風暴院長壯世代的風暴帶給台灣社會什麼省思
transcript.whisperx[34].start 792.512
transcript.whisperx[34].end 817.064
transcript.whisperx[34].text 我認為我也非常遺憾上午就站在這個地方我們吳春城委員他辭去立委我尊重個人的去留但是公共政策的辯論跟是非曲直的探討也不會因為個人的去留而停止本席非常覺得遺憾居然把本席還有陳時中政委拖下水
transcript.whisperx[35].start 818.064
transcript.whisperx[35].end 843.45
transcript.whisperx[35].text 我要再次的還原所謂的壯士代的促進法這個專法在朝野協商的場域伍思堯作為黨團的幹部我非常努力的協助行政部門跟各黨之間我們來提出一個對於行政部門衝擊較小而且是更為可行的一個法案因此我拆了三個地雷第一個
transcript.whisperx[36].start 844.19
transcript.whisperx[36].end 871.108
transcript.whisperx[36].text 原來的吳春城的版本是要求行政院要有壯世代的專責辦公室我們認為其其以為不可第二他要求行政院要為壯世代新立基金這又是一個違憲的法案當然不可能接受所以我也成功的協調刪除了這個條文第三個吳春城民眾黨要求兩年內內閣相關的法案都要一律的證明改為壯世代我們認為姿勢體大
transcript.whisperx[37].start 874.29
transcript.whisperx[37].end 901.583
transcript.whisperx[37].text 所以我希望說一個理性的公共政策的討論不要拿別人來背鍋也不要把行政部門來合理化現在委員個人是否有涉及圖利個人涉及事項的討論我認為這對民主的社會都不健康我只剩下最後20秒我也不知道怎麼來講我的最後一個議題社會需要的是青年基本法
transcript.whisperx[38].start 902.483
transcript.whisperx[38].end 917.243
transcript.whisperx[38].text 我們要哪一種世代正義我們不要讓富者更富我們應當拉年輕人一把七年基本法伍思瑤從第十屆倡議到十一屆我今天沒有時間論述可不可以正面
transcript.whisperx[39].start 920.669
transcript.whisperx[39].end 931.797
transcript.whisperx[39].text 請行政院專門通過論壇提出《新年基本法》的原例這才是臺灣社會最期待的事但就院長先公告
transcript.whisperx[40].start 954.011
transcript.whisperx[40].end 974.442
transcript.whisperx[40].text 主要在任党可以成为最近7年的行政对不对我没想到7年这个党是所有7年世代共同的场就是让台湾的世代政治大幅下跌的这种宪党维杰的整合法律我一定会放心的就像放弃国民党我们一起来承认好 谢谢吴斯有问资讯谢谢