iVOD / 170451

Field Value
IVOD_ID 170451
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/170451
日期 2026-07-14
會議資料.會議代碼 院會-11-5-17
會議資料.會議代碼:str 第11屆第5會期第17次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 17
會議資料.種類 院會
會議資料.標題 第11屆第5會期第17次會議
影片種類 Clip
開始時間 2026-07-14T17:38:41+08:00
結束時間 2026-07-14T17:49:45+08:00
影片長度 00:11:04
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ad2906fa72ef9199e5b5d23c3c7788a7684f067b6a62f29a68c32e327bd700272ae69a5bbf2089335ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林德福
委員發言時間 17:38:41 - 17:49:45
會議時間 2026-07-14T09:00:00+08:00
會議名稱 第11屆第5會期第17次會議(事由:一、討論事項:本院委員洪孟楷、楊瓊瓔、王鴻薇、蘇清泉、林德福、廖偉翔、黃健豪、陳玉珍等52人擬具公民投票提案主文為:「您是否同意政府制定法律,針對性侵害犯罪、凌虐幼童罪、以及高額詐欺罪、複合型態加重詐欺罪,增設由法院宣告並依法執行之特別刑法制度(鞭刑),以嚇阻犯罪持續發生?」請公決案等6案。二、行政院院長率同相關部會首長列席提出中聯油脂大豆沙拉油事件及食安監管機制缺失檢討專案報告並備質詢。(7月14日下午)三、7月14日上午9時至10時為國是論壇時間。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 9.31221875
transcript.pyannote[0].end 12.82221875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 25.71471875
transcript.pyannote[1].end 28.49909375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 28.98846875
transcript.pyannote[2].end 30.77721875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 31.31721875
transcript.pyannote[3].end 34.27034375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 34.27034375
transcript.pyannote[4].end 34.50659375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 34.50659375
transcript.pyannote[5].end 35.55284375
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 35.78909375
transcript.pyannote[6].end 37.47659375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 47.38221875
transcript.pyannote[7].end 47.92221875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 48.05721875
transcript.pyannote[8].end 48.79971875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 49.42409375
transcript.pyannote[9].end 52.42784375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 53.00159375
transcript.pyannote[10].end 55.00971875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 55.19534375
transcript.pyannote[11].end 57.77721875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 57.96284375
transcript.pyannote[12].end 58.35096875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 58.68846875
transcript.pyannote[13].end 59.34659375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 59.66721875
transcript.pyannote[14].end 62.97471875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 63.44721875
transcript.pyannote[15].end 66.01221875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 66.51846875
transcript.pyannote[16].end 68.45909375
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 68.93159375
transcript.pyannote[17].end 72.94784375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 73.35284375
transcript.pyannote[18].end 74.07846875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 74.44971875
transcript.pyannote[19].end 77.41971875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 77.85846875
transcript.pyannote[20].end 79.00596875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 79.30971875
transcript.pyannote[21].end 80.96346875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 81.43596875
transcript.pyannote[22].end 81.89159375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 82.53284375
transcript.pyannote[23].end 86.36346875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 87.00471875
transcript.pyannote[24].end 88.03409375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 88.43909375
transcript.pyannote[25].end 89.35034375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 89.51909375
transcript.pyannote[26].end 91.96596875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 92.52284375
transcript.pyannote[27].end 94.37909375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 94.90221875
transcript.pyannote[28].end 96.85971875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 97.11284375
transcript.pyannote[29].end 98.91846875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 99.27284375
transcript.pyannote[30].end 101.06159375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 101.36534375
transcript.pyannote[31].end 102.56346875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 103.12034375
transcript.pyannote[32].end 105.88784375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 106.30971875
transcript.pyannote[33].end 108.72284375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 109.17846875
transcript.pyannote[34].end 110.56221875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 110.95034375
transcript.pyannote[35].end 111.30471875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 111.72659375
transcript.pyannote[36].end 112.31721875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 112.55346875
transcript.pyannote[37].end 116.28284375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 116.51909375
transcript.pyannote[38].end 117.90284375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 118.30784375
transcript.pyannote[39].end 120.80534375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 121.17659375
transcript.pyannote[40].end 123.97784375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 124.39971875
transcript.pyannote[41].end 126.62721875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 127.06596875
transcript.pyannote[42].end 128.75346875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 129.17534375
transcript.pyannote[43].end 130.67721875
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 130.76159375
transcript.pyannote[44].end 132.19596875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 132.19596875
transcript.pyannote[45].end 132.28034375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 132.51659375
transcript.pyannote[46].end 134.11971875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 134.64284375
transcript.pyannote[47].end 134.67659375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 134.67659375
transcript.pyannote[48].end 137.76471875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 134.72721875
transcript.pyannote[49].end 134.89596875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 137.86596875
transcript.pyannote[50].end 138.94596875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 139.01346875
transcript.pyannote[51].end 139.03034375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 139.04721875
transcript.pyannote[52].end 141.54471875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 141.78096875
transcript.pyannote[53].end 143.02971875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 143.31659375
transcript.pyannote[54].end 147.21471875
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 147.33284375
transcript.pyannote[55].end 156.02346875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 156.39471875
transcript.pyannote[56].end 158.30159375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 158.63909375
transcript.pyannote[57].end 162.80721875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 163.06034375
transcript.pyannote[58].end 164.30909375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 164.41034375
transcript.pyannote[59].end 165.40596875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 165.82784375
transcript.pyannote[60].end 167.88659375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 168.02159375
transcript.pyannote[61].end 170.38409375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 170.50221875
transcript.pyannote[62].end 171.22784375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 171.46409375
transcript.pyannote[63].end 172.88159375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 173.21909375
transcript.pyannote[64].end 178.18034375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 178.41659375
transcript.pyannote[65].end 182.06159375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 182.31471875
transcript.pyannote[66].end 184.01909375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 184.35659375
transcript.pyannote[67].end 186.11159375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 186.26346875
transcript.pyannote[68].end 187.83284375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 188.10284375
transcript.pyannote[69].end 189.18284375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 189.36846875
transcript.pyannote[70].end 203.45909375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 203.96534375
transcript.pyannote[71].end 204.67409375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 205.39971875
transcript.pyannote[72].end 210.09096875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 210.39471875
transcript.pyannote[73].end 211.27221875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 211.67721875
transcript.pyannote[74].end 212.60534375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 212.87534375
transcript.pyannote[75].end 222.79784375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 223.25346875
transcript.pyannote[76].end 228.26534375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 228.53534375
transcript.pyannote[77].end 229.85159375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 230.42534375
transcript.pyannote[78].end 231.74159375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 232.02846875
transcript.pyannote[79].end 233.09159375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 233.32784375
transcript.pyannote[80].end 233.91846875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 234.13784375
transcript.pyannote[81].end 235.16721875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 235.31909375
transcript.pyannote[82].end 239.53784375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 239.89221875
transcript.pyannote[83].end 240.39846875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 240.90471875
transcript.pyannote[84].end 244.44846875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 244.49909375
transcript.pyannote[85].end 266.72346875
transcript.pyannote[86].speaker SPEAKER_02
transcript.pyannote[86].start 267.01034375
transcript.pyannote[86].end 294.48284375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 288.30659375
transcript.pyannote[87].end 288.69471875
transcript.pyannote[88].speaker SPEAKER_02
transcript.pyannote[88].start 295.05659375
transcript.pyannote[88].end 305.04659375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 305.41784375
transcript.pyannote[89].end 313.06221875
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 313.33221875
transcript.pyannote[90].end 314.22659375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 314.22659375
transcript.pyannote[91].end 315.20534375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 314.93534375
transcript.pyannote[92].end 315.12096875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 315.47534375
transcript.pyannote[93].end 316.55534375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 317.33159375
transcript.pyannote[94].end 332.09721875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 332.51909375
transcript.pyannote[95].end 334.45971875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 334.78034375
transcript.pyannote[96].end 335.97846875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 336.14721875
transcript.pyannote[97].end 343.85909375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 343.90971875
transcript.pyannote[98].end 345.51284375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 345.88409375
transcript.pyannote[99].end 351.60471875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 351.75659375
transcript.pyannote[100].end 354.94596875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 355.40159375
transcript.pyannote[101].end 356.41409375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 356.65034375
transcript.pyannote[102].end 359.29971875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 359.58659375
transcript.pyannote[103].end 361.12221875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 361.52721875
transcript.pyannote[104].end 366.92721875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 367.28159375
transcript.pyannote[105].end 368.91846875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 369.03659375
transcript.pyannote[106].end 384.34221875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 384.83159375
transcript.pyannote[107].end 390.28221875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 390.53534375
transcript.pyannote[108].end 391.73346875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 391.90221875
transcript.pyannote[109].end 393.89346875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 393.94409375
transcript.pyannote[110].end 400.05284375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 401.55471875
transcript.pyannote[111].end 402.58409375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 402.58409375
transcript.pyannote[112].end 404.20409375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 404.69346875
transcript.pyannote[113].end 407.35971875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 405.82409375
transcript.pyannote[114].end 406.43159375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 407.35971875
transcript.pyannote[115].end 412.99596875
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 407.83221875
transcript.pyannote[116].end 408.20346875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 413.09721875
transcript.pyannote[117].end 419.35784375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 419.67846875
transcript.pyannote[118].end 420.89346875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 421.29846875
transcript.pyannote[119].end 423.94784375
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 424.20096875
transcript.pyannote[120].end 430.96784375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 428.50409375
transcript.pyannote[121].end 435.27096875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 431.33909375
transcript.pyannote[122].end 439.91159375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 436.95846875
transcript.pyannote[123].end 437.36346875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 440.11409375
transcript.pyannote[124].end 447.74159375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 448.11284375
transcript.pyannote[125].end 451.09971875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 451.74096875
transcript.pyannote[126].end 452.97284375
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 453.31034375
transcript.pyannote[127].end 455.08221875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 455.55471875
transcript.pyannote[128].end 456.82034375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 457.29284375
transcript.pyannote[129].end 459.90846875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 460.26284375
transcript.pyannote[130].end 463.31721875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 463.36784375
transcript.pyannote[131].end 467.43471875
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 467.83971875
transcript.pyannote[132].end 469.13909375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 469.40909375
transcript.pyannote[133].end 472.75034375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 473.44221875
transcript.pyannote[134].end 474.99471875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 476.27721875
transcript.pyannote[135].end 477.12096875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 477.69471875
transcript.pyannote[136].end 479.12909375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 479.24721875
transcript.pyannote[137].end 484.25909375
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 484.52909375
transcript.pyannote[138].end 487.51596875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 488.05596875
transcript.pyannote[139].end 489.57471875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 489.89534375
transcript.pyannote[140].end 491.92034375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 492.37596875
transcript.pyannote[141].end 494.50221875
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 494.95784375
transcript.pyannote[142].end 496.25721875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 496.86471875
transcript.pyannote[143].end 498.11346875
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 499.53096875
transcript.pyannote[144].end 502.18034375
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 501.53909375
transcript.pyannote[145].end 507.81659375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 504.10409375
transcript.pyannote[146].end 504.47534375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 506.23034375
transcript.pyannote[147].end 521.18159375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 521.73846875
transcript.pyannote[148].end 530.27721875
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 530.42909375
transcript.pyannote[149].end 531.86346875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 532.30221875
transcript.pyannote[150].end 537.11159375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 537.24659375
transcript.pyannote[151].end 574.38846875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 574.40534375
transcript.pyannote[152].end 574.43909375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 574.59096875
transcript.pyannote[153].end 583.78784375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 584.20971875
transcript.pyannote[154].end 585.00284375
transcript.pyannote[155].speaker SPEAKER_02
transcript.pyannote[155].start 585.91409375
transcript.pyannote[155].end 601.86096875
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 601.99596875
transcript.pyannote[156].end 608.00346875
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 602.04659375
transcript.pyannote[157].end 602.56971875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 608.17221875
transcript.pyannote[158].end 625.38471875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 625.84034375
transcript.pyannote[159].end 630.41346875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 632.52284375
transcript.pyannote[160].end 632.82659375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 633.41721875
transcript.pyannote[161].end 642.64784375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 642.76596875
transcript.pyannote[162].end 644.84159375
transcript.pyannote[163].speaker SPEAKER_01
transcript.pyannote[163].start 645.11159375
transcript.pyannote[163].end 651.32159375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 649.12784375
transcript.pyannote[164].end 649.80284375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 651.76034375
transcript.pyannote[165].end 652.73909375
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 661.27784375
transcript.pyannote[166].end 664.11284375
transcript.whisperx[0].start 26.397
transcript.whisperx[0].end 36.839
transcript.whisperx[0].text 謝謝大會主席江副院長還有卓院長議會各部會首長是不是請卓院長跟石部長請卓院長石部長
transcript.whisperx[1].start 47.366
transcript.whisperx[1].end 73.464
transcript.whisperx[1].text 林委員好 朱院長你好我想因為民進黨執政十年這個食安危機不斷那食安五環屢屢破功像分埔泥毒雞蛋開放萊豬還有核災區的食品解禁包括豬肉丹羊肉麥過期的這些雞蛋蘇丹紅辣椒粉放寬
transcript.whisperx[2].start 74.502
transcript.whisperx[2].end 93.561
transcript.whisperx[2].text 花芽的這些馬鈴薯檢查到現在的整個致癌油那過去民進黨在野的時候面對食安的議題這個往往要求這個零檢出做不好就下台取得政權賀物
transcript.whisperx[3].start 94.946
transcript.whisperx[3].end 116.995
transcript.whisperx[3].text 那民進黨標準一直在改法甲灣就是民進黨的標籤那為何不說中聯郵址疑似在檢體上造假要求新批號下架那這個行政院應先完整交代事件的整個來龍去脈
transcript.whisperx[4].start 118.396
transcript.whisperx[4].end 128.612
transcript.whisperx[4].text 在討論重新上架的原則避免政策反顧來影響民眾對食品安全的信任院長你有什麼看法
transcript.whisperx[5].start 129.209
transcript.whisperx[5].end 155.831
transcript.whisperx[5].text 沒有錯我們剛剛在報告裡面就提到了現在是預防性下架所謂預防性下架就是他將來一定的條件之後他可以恢復上架但這個條件他必須要檢驗合格提出合格的證明經過第三方的驗證還要經過主管機關的同意那現在都還不到那個程度現在我們要做的是把他21批的油品全部檢驗證明4到6月的油品除了那5批之外
transcript.whisperx[6].start 156.431
transcript.whisperx[6].end 185.609
transcript.whisperx[6].text 不會再衍生其他的問題同時下游的這些產品我們也要做一些全面的這個盤點現在有321項也要做全面的盤點這個全部建立下來沒有問題了那主管機關才會進到要不要考慮的問題大概院長因為食品安全沒有意識形態也不分草野都希望國人吃得健康那全國民眾也期待中央與地方的政府來共同合作替民眾好好的把關
transcript.whisperx[7].start 186.589
transcript.whisperx[7].end 203.395
transcript.whisperx[7].text 整個食品的安全那此次中原油脂的問題有影響全國各縣市究竟是原料出的問題還是整個製程出的問題還是廠商整個自主檢驗報告造假這麼多
transcript.whisperx[8].start 205.458
transcript.whisperx[8].end 232.764
transcript.whisperx[8].text 多天了已經過去了那國人始終無法得到真相此外這個問題產品下架政策緩護衛福部原本還只打算讓問題由含量百分之二十以上的這些產品下架結果外界大家砲轟以後才改為全面下架因為食品安全真的是不分黨派食安漏洞這個檢討
transcript.whisperx[9].start 235.698
transcript.whisperx[9].end 255.532
transcript.whisperx[9].text 這是衛福部的責任,不要甩鍋給地方,究竟該救責的還是要救責?石副長你有什麼看法?跟委員說明,我們在第一刻就讓油品直接就先下架,問題油品其實已經下架談的是這個油的下一層的加工食品
transcript.whisperx[10].start 256.252
transcript.whisperx[10].end 270.909
transcript.whisperx[10].text 所以加工食品其實它的樣態是非常非常多有的用的量是很少所以按照我們原先的下架階層原則就是第一層的油品下架那麼加工食品並沒有所以才會在下架完之後
transcript.whisperx[11].start 271.369
transcript.whisperx[11].end 293.868
transcript.whisperx[11].text 那麼在7月4號再召開了專家會議去討論到這個民眾對民眾的健康風險之後才做出那個您所謂的20%這個下架的這個這個新的修正的這個下架原則的修訂所以是這樣一步一步來但是後面我們有新的市政發現說這個已經不是單批的問題可能是整個
transcript.whisperx[12].start 295.589
transcript.whisperx[12].end 314.446
transcript.whisperx[12].text 這個製程上的不穩定可能是多批系統性的問題才會又進步到全面性的預防性下降所以他都是我們不斷的在快速的積極的去了解這個背後的問題然後趕快的做出回應來保障國人的這個健康因為過去齁
transcript.whisperx[13].start 317.809
transcript.whisperx[13].end 345.259
transcript.whisperx[13].text 為強化整個食安財政部跟衛福部都有跨部會的合作然後透過電子花票與營業稅競銷的這些項的明細來落實商品溯源追蹤的一個管理那除了可以這個黃鍍、桃肉稅也能掌握整個食品供應鏈的流向以確保整個民眾消費的權益因為外界質疑
transcript.whisperx[14].start 347.599
transcript.whisperx[14].end 365.364
transcript.whisperx[14].text 自知實意建立的食品雲 包括食品原料追溯系統非追不可 未發揮它的功能不僅累積了公務員 也恐導致整個餘地的食品無法及時攔截
transcript.whisperx[15].start 369.245
transcript.whisperx[15].end 382.913
transcript.whisperx[15].text 針對中年油脂問題油的事件上中下油產品的流向本席我是希望說這個行政院藉此事件重新來審視將政府的大數據透過
transcript.whisperx[16].start 384.895
transcript.whisperx[16].end 399.638
transcript.whisperx[16].text AI的技術來整合透過AI進行整個資料標準化資料整合異常分析那預警查詢達到食品安全溯源的政策目的院長
transcript.whisperx[17].start 401.618
transcript.whisperx[17].end 425.876
transcript.whisperx[17].text 你有沒有想法就未來我們會強化數位的治理就是要強化這一點過去確實財政部的電子花票有跟衛福部有連結而且溯源追溯每一個環節都清清楚楚的而且擺在眼前就是你們一定要合作才有辦法把那些上下游
transcript.whisperx[18].start 426.596
transcript.whisperx[18].end 454.686
transcript.whisperx[18].text 把它整理得清清楚楚我們會馬上進行因為電子花票是一個很好可以追溯的一個聯合國馬上要強化目前的這個串接為什麼一定要馬上進行而且刻不容緩因為上下游啊你要是說沒有用電子花票去追溯你任何它只要有進貨它就是有電子花票嘛那溯源就是這樣追因為我親眼看到啊兩位那個院長跟部長我跟你們講
transcript.whisperx[19].start 455.606
transcript.whisperx[19].end 473.898
transcript.whisperx[19].text 我親眼看到昨天就是前面有一部車子結果我看他停在一個賣肉丸跟賣藕粿的前面結果我看他搬了三箱我看那個就是油結果整個所有桶子三桶都沒有貼標籤
transcript.whisperx[20].start 476.388
transcript.whisperx[20].end 497.916
transcript.whisperx[20].text 三桶喔因為那個裡面他賣肉丸就是要整桶的油進去然後在裡面燒那包括OK都一樣結果三桶我看都連外面的標籤什麼都沒有我認為那個就是有問題的油但是他一樣照送那個店家照拿
transcript.whisperx[21].start 499.605
transcript.whisperx[21].end 520.96
transcript.whisperx[21].text 像這個問題我認為還是要追溯委員會後告訴我們是在哪裡我們督導地方政府,責成地方政府加強財政我認為這個很重要你們也要通知所有這些因為全國有很多的警察同仁只要出去有在路上巡看到他這個車子裡面一桶一桶的
transcript.whisperx[22].start 521.781
transcript.whisperx[22].end 536.307
transcript.whisperx[22].text 那個就是油那甚至於他走的店家就是賣食品的嘛你叫他夜市太多了然後他一桶一桶進去都沒有貼標籤啦我就直接打個問號說這個一定啊就是那些有問題的油
transcript.whisperx[23].start 537.607
transcript.whisperx[23].end 555.402
transcript.whisperx[23].text 不能讓他再這樣留下去因為食安問題每個人你只要家裡大大小小吃學校的小朋友都會知道我是希望說這個一定要去重視因為此次的中年問題由影響到全國許多學校營養午餐
transcript.whisperx[24].start 556.563
transcript.whisperx[24].end 584.836
transcript.whisperx[24].text 當然我們這個地區像永和也有很多學校受到影響尤其這些學童還沒有成年身體處於發育的階段那家長也擔心學童健康會有後遺症為了維護學童健康請問衛福部與教育部溯源追溯處理告一段落後後續會有哪些措施讓家長能夠安心有沒有想法
transcript.whisperx[25].start 586.613
transcript.whisperx[25].end 607.548
transcript.whisperx[25].text 跟委員說明因為教育部已經有建立它的那個實材追蹤系統了所以我們一旦有發現任何的疑慮我們就會有跨部會的合作那麼像這一次也是一樣我們第一時間就把這個資訊提供給教育部讓教育部可以馬上去清查了解有哪一些學校那麼受到影響
transcript.whisperx[26].start 608.248
transcript.whisperx[26].end 630.4
transcript.whisperx[26].text 本席是希望說此次的主管機關對廠商的罰款跟廠商未來提出的補償方案要有一定比例用在受到此次中年問題由影響的學生的身上對於此次中年油自然油罰款跟補償的方案莊院長你有沒有想法對不起
transcript.whisperx[27].start 633.479
transcript.whisperx[27].end 652.851
transcript.whisperx[27].text 就是這一次啊 這些問題由你給學生吃到了最起碼你未來這些學生身上怎麼去補償他們 怎麼這個剛剛我說過因為現在在暑假期間並沒有學生的營養午餐現在都吃了啦對 但是我們要求教育部 通靈各學好
transcript.whisperx[28].start 663.293
transcript.whisperx[28].end 663.496
transcript.whisperx[28].text 謝謝林委員