iVOD / 161056

Field Value
IVOD_ID 161056
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161056
日期 2025-05-08
會議資料.會議代碼 委員會-11-3-26-10
會議資料.會議代碼:str 第11屆第3會期社會福利及衛生環境委員會第10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 10
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 第11屆第3會期社會福利及衛生環境委員會第10次全體委員會議
影片種類 Clip
開始時間 2025-05-08T10:11:34+08:00
結束時間 2025-05-08T10:24:15+08:00
影片長度 00:12:41
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/26c557d936b203c1c46ab487e18b57e9bf088656e97d34035f5e885147c9c9bc3f3c00194d6c03235ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 邱鎮軍
委員發言時間 10:11:34 - 10:24:15
會議時間 2025-05-08T09:00:00+08:00
會議名稱 立法院第11屆第3會期社會福利及衛生環境委員會第10次全體委員會議(事由:一、邀請衛生福利部部長就「長照2.0執行情形檢討及3.0未來規劃」進行專題報告,並備質詢。 二、邀請衛生福利部部長就「澳洲進口豬腳驗出含萊克多巴胺,如何加強肉品食安查驗,讓民眾放心」進行專題報告,並備質詢。 【專題報告綜合詢答】)
transcript.pyannote[0].speaker SPEAKER_04
transcript.pyannote[0].start 7.43909375
transcript.pyannote[0].end 9.76784375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 10.98284375
transcript.pyannote[1].end 11.25284375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 12.29909375
transcript.pyannote[2].end 13.24409375
transcript.pyannote[3].speaker SPEAKER_04
transcript.pyannote[3].start 13.24409375
transcript.pyannote[3].end 13.81784375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 14.18909375
transcript.pyannote[4].end 15.55596875
transcript.pyannote[5].speaker SPEAKER_04
transcript.pyannote[5].start 17.80034375
transcript.pyannote[5].end 19.31909375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 19.31909375
transcript.pyannote[6].end 19.35284375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 19.36971875
transcript.pyannote[7].end 20.02784375
transcript.pyannote[8].speaker SPEAKER_04
transcript.pyannote[8].start 21.52971875
transcript.pyannote[8].end 22.66034375
transcript.pyannote[9].speaker SPEAKER_04
transcript.pyannote[9].start 23.60534375
transcript.pyannote[9].end 25.44471875
transcript.pyannote[10].speaker SPEAKER_04
transcript.pyannote[10].start 25.78221875
transcript.pyannote[10].end 44.63159375
transcript.pyannote[11].speaker SPEAKER_05
transcript.pyannote[11].start 25.84971875
transcript.pyannote[11].end 26.50784375
transcript.pyannote[12].speaker SPEAKER_04
transcript.pyannote[12].start 44.68221875
transcript.pyannote[12].end 51.36471875
transcript.pyannote[13].speaker SPEAKER_04
transcript.pyannote[13].start 51.51659375
transcript.pyannote[13].end 55.70159375
transcript.pyannote[14].speaker SPEAKER_04
transcript.pyannote[14].start 56.17409375
transcript.pyannote[14].end 57.32159375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 60.10596875
transcript.pyannote[15].end 64.66221875
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 64.69596875
transcript.pyannote[16].end 64.79721875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 64.79721875
transcript.pyannote[17].end 72.25596875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 72.25596875
transcript.pyannote[18].end 86.38034375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 86.29596875
transcript.pyannote[19].end 90.53159375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 90.83534375
transcript.pyannote[20].end 91.03784375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 91.03784375
transcript.pyannote[21].end 105.97221875
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 105.97221875
transcript.pyannote[22].end 110.10659375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 109.92096875
transcript.pyannote[23].end 119.21909375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 111.57471875
transcript.pyannote[24].end 111.69284375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 120.63659375
transcript.pyannote[25].end 127.48784375
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 127.65659375
transcript.pyannote[26].end 131.63909375
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 132.12846875
transcript.pyannote[27].end 132.75284375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 133.03971875
transcript.pyannote[28].end 134.87909375
transcript.pyannote[29].speaker SPEAKER_04
transcript.pyannote[29].start 135.73971875
transcript.pyannote[29].end 136.04346875
transcript.pyannote[30].speaker SPEAKER_04
transcript.pyannote[30].start 136.31346875
transcript.pyannote[30].end 138.47346875
transcript.pyannote[31].speaker SPEAKER_04
transcript.pyannote[31].start 139.62096875
transcript.pyannote[31].end 144.37971875
transcript.pyannote[32].speaker SPEAKER_04
transcript.pyannote[32].start 145.42596875
transcript.pyannote[32].end 169.40534375
transcript.pyannote[33].speaker SPEAKER_04
transcript.pyannote[33].start 170.36721875
transcript.pyannote[33].end 170.90721875
transcript.pyannote[34].speaker SPEAKER_04
transcript.pyannote[34].start 171.68346875
transcript.pyannote[34].end 175.00784375
transcript.pyannote[35].speaker SPEAKER_05
transcript.pyannote[35].start 175.54784375
transcript.pyannote[35].end 178.75409375
transcript.pyannote[36].speaker SPEAKER_05
transcript.pyannote[36].start 178.80471875
transcript.pyannote[36].end 190.31346875
transcript.pyannote[37].speaker SPEAKER_04
transcript.pyannote[37].start 181.67346875
transcript.pyannote[37].end 183.68159375
transcript.pyannote[38].speaker SPEAKER_04
transcript.pyannote[38].start 189.38534375
transcript.pyannote[38].end 195.12284375
transcript.pyannote[39].speaker SPEAKER_04
transcript.pyannote[39].start 195.34221875
transcript.pyannote[39].end 205.16346875
transcript.pyannote[40].speaker SPEAKER_04
transcript.pyannote[40].start 205.48409375
transcript.pyannote[40].end 209.48346875
transcript.pyannote[41].speaker SPEAKER_04
transcript.pyannote[41].start 209.85471875
transcript.pyannote[41].end 216.04784375
transcript.pyannote[42].speaker SPEAKER_04
transcript.pyannote[42].start 216.09846875
transcript.pyannote[42].end 222.57846875
transcript.pyannote[43].speaker SPEAKER_04
transcript.pyannote[43].start 222.83159375
transcript.pyannote[43].end 225.76784375
transcript.pyannote[44].speaker SPEAKER_04
transcript.pyannote[44].start 225.97034375
transcript.pyannote[44].end 232.33221875
transcript.pyannote[45].speaker SPEAKER_05
transcript.pyannote[45].start 232.88909375
transcript.pyannote[45].end 250.60784375
transcript.pyannote[46].speaker SPEAKER_04
transcript.pyannote[46].start 236.23034375
transcript.pyannote[46].end 238.47471875
transcript.pyannote[47].speaker SPEAKER_04
transcript.pyannote[47].start 250.60784375
transcript.pyannote[47].end 257.64471875
transcript.pyannote[48].speaker SPEAKER_04
transcript.pyannote[48].start 258.35346875
transcript.pyannote[48].end 258.82596875
transcript.pyannote[49].speaker SPEAKER_04
transcript.pyannote[49].start 259.14659375
transcript.pyannote[49].end 262.94346875
transcript.pyannote[50].speaker SPEAKER_04
transcript.pyannote[50].start 263.50034375
transcript.pyannote[50].end 266.04846875
transcript.pyannote[51].speaker SPEAKER_05
transcript.pyannote[51].start 266.30159375
transcript.pyannote[51].end 266.50409375
transcript.pyannote[52].speaker SPEAKER_04
transcript.pyannote[52].start 266.89221875
transcript.pyannote[52].end 268.14096875
transcript.pyannote[53].speaker SPEAKER_05
transcript.pyannote[53].start 268.14096875
transcript.pyannote[53].end 285.01596875
transcript.pyannote[54].speaker SPEAKER_04
transcript.pyannote[54].start 281.75909375
transcript.pyannote[54].end 287.51346875
transcript.pyannote[55].speaker SPEAKER_04
transcript.pyannote[55].start 288.22221875
transcript.pyannote[55].end 290.17971875
transcript.pyannote[56].speaker SPEAKER_05
transcript.pyannote[56].start 290.48346875
transcript.pyannote[56].end 303.73034375
transcript.pyannote[57].speaker SPEAKER_04
transcript.pyannote[57].start 301.35096875
transcript.pyannote[57].end 303.64596875
transcript.pyannote[58].speaker SPEAKER_04
transcript.pyannote[58].start 303.73034375
transcript.pyannote[58].end 303.88221875
transcript.pyannote[59].speaker SPEAKER_05
transcript.pyannote[59].start 303.88221875
transcript.pyannote[59].end 303.89909375
transcript.pyannote[60].speaker SPEAKER_04
transcript.pyannote[60].start 303.89909375
transcript.pyannote[60].end 303.91596875
transcript.pyannote[61].speaker SPEAKER_05
transcript.pyannote[61].start 303.91596875
transcript.pyannote[61].end 305.58659375
transcript.pyannote[62].speaker SPEAKER_04
transcript.pyannote[62].start 303.93284375
transcript.pyannote[62].end 307.18971875
transcript.pyannote[63].speaker SPEAKER_04
transcript.pyannote[63].start 307.67909375
transcript.pyannote[63].end 317.53409375
transcript.pyannote[64].speaker SPEAKER_04
transcript.pyannote[64].start 318.25971875
transcript.pyannote[64].end 318.31034375
transcript.pyannote[65].speaker SPEAKER_05
transcript.pyannote[65].start 318.31034375
transcript.pyannote[65].end 324.21659375
transcript.pyannote[66].speaker SPEAKER_04
transcript.pyannote[66].start 323.33909375
transcript.pyannote[66].end 333.07596875
transcript.pyannote[67].speaker SPEAKER_04
transcript.pyannote[67].start 333.63284375
transcript.pyannote[67].end 342.30659375
transcript.pyannote[68].speaker SPEAKER_04
transcript.pyannote[68].start 342.76221875
transcript.pyannote[68].end 346.10346875
transcript.pyannote[69].speaker SPEAKER_05
transcript.pyannote[69].start 346.93034375
transcript.pyannote[69].end 348.16221875
transcript.pyannote[70].speaker SPEAKER_05
transcript.pyannote[70].start 348.48284375
transcript.pyannote[70].end 352.02659375
transcript.pyannote[71].speaker SPEAKER_05
transcript.pyannote[71].start 352.33034375
transcript.pyannote[71].end 353.71409375
transcript.pyannote[72].speaker SPEAKER_05
transcript.pyannote[72].start 354.05159375
transcript.pyannote[72].end 368.31096875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 362.52284375
transcript.pyannote[73].end 362.55659375
transcript.pyannote[74].speaker SPEAKER_04
transcript.pyannote[74].start 362.55659375
transcript.pyannote[74].end 364.09221875
transcript.pyannote[75].speaker SPEAKER_04
transcript.pyannote[75].start 366.87659375
transcript.pyannote[75].end 374.70659375
transcript.pyannote[76].speaker SPEAKER_05
transcript.pyannote[76].start 372.59721875
transcript.pyannote[76].end 373.86284375
transcript.pyannote[77].speaker SPEAKER_05
transcript.pyannote[77].start 375.17909375
transcript.pyannote[77].end 381.74346875
transcript.pyannote[78].speaker SPEAKER_04
transcript.pyannote[78].start 379.58346875
transcript.pyannote[78].end 383.81909375
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 383.81909375
transcript.pyannote[79].end 383.83596875
transcript.pyannote[80].speaker SPEAKER_04
transcript.pyannote[80].start 383.83596875
transcript.pyannote[80].end 383.88659375
transcript.pyannote[81].speaker SPEAKER_05
transcript.pyannote[81].start 383.88659375
transcript.pyannote[81].end 392.86409375
transcript.pyannote[82].speaker SPEAKER_04
transcript.pyannote[82].start 389.52284375
transcript.pyannote[82].end 403.54596875
transcript.pyannote[83].speaker SPEAKER_05
transcript.pyannote[83].start 400.89659375
transcript.pyannote[83].end 401.36909375
transcript.pyannote[84].speaker SPEAKER_04
transcript.pyannote[84].start 403.93409375
transcript.pyannote[84].end 405.46971875
transcript.pyannote[85].speaker SPEAKER_05
transcript.pyannote[85].start 405.46971875
transcript.pyannote[85].end 405.99284375
transcript.pyannote[86].speaker SPEAKER_05
transcript.pyannote[86].start 406.80284375
transcript.pyannote[86].end 414.41346875
transcript.pyannote[87].speaker SPEAKER_05
transcript.pyannote[87].start 414.80159375
transcript.pyannote[87].end 418.07534375
transcript.pyannote[88].speaker SPEAKER_04
transcript.pyannote[88].start 415.08846875
transcript.pyannote[88].end 416.10096875
transcript.pyannote[89].speaker SPEAKER_05
transcript.pyannote[89].start 418.49721875
transcript.pyannote[89].end 419.64471875
transcript.pyannote[90].speaker SPEAKER_05
transcript.pyannote[90].start 420.11721875
transcript.pyannote[90].end 436.30034375
transcript.pyannote[91].speaker SPEAKER_04
transcript.pyannote[91].start 420.31971875
transcript.pyannote[91].end 421.58534375
transcript.pyannote[92].speaker SPEAKER_04
transcript.pyannote[92].start 429.22971875
transcript.pyannote[92].end 429.26346875
transcript.pyannote[93].speaker SPEAKER_02
transcript.pyannote[93].start 429.26346875
transcript.pyannote[93].end 429.85409375
transcript.pyannote[94].speaker SPEAKER_04
transcript.pyannote[94].start 429.85409375
transcript.pyannote[94].end 429.87096875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 429.93846875
transcript.pyannote[95].end 430.42784375
transcript.pyannote[96].speaker SPEAKER_04
transcript.pyannote[96].start 430.42784375
transcript.pyannote[96].end 432.31784375
transcript.pyannote[97].speaker SPEAKER_04
transcript.pyannote[97].start 432.57096875
transcript.pyannote[97].end 432.79034375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 432.79034375
transcript.pyannote[98].end 432.87471875
transcript.pyannote[99].speaker SPEAKER_05
transcript.pyannote[99].start 436.77284375
transcript.pyannote[99].end 436.78971875
transcript.pyannote[100].speaker SPEAKER_04
transcript.pyannote[100].start 436.78971875
transcript.pyannote[100].end 442.99971875
transcript.pyannote[101].speaker SPEAKER_05
transcript.pyannote[101].start 442.93221875
transcript.pyannote[101].end 448.46721875
transcript.pyannote[102].speaker SPEAKER_04
transcript.pyannote[102].start 443.26971875
transcript.pyannote[102].end 446.30721875
transcript.pyannote[103].speaker SPEAKER_05
transcript.pyannote[103].start 448.82159375
transcript.pyannote[103].end 458.65971875
transcript.pyannote[104].speaker SPEAKER_05
transcript.pyannote[104].start 459.16596875
transcript.pyannote[104].end 466.84409375
transcript.pyannote[105].speaker SPEAKER_04
transcript.pyannote[105].start 464.75159375
transcript.pyannote[105].end 480.83346875
transcript.pyannote[106].speaker SPEAKER_04
transcript.pyannote[106].start 481.37346875
transcript.pyannote[106].end 483.07784375
transcript.pyannote[107].speaker SPEAKER_05
transcript.pyannote[107].start 483.07784375
transcript.pyannote[107].end 486.40221875
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 483.11159375
transcript.pyannote[108].end 483.66846875
transcript.pyannote[109].speaker SPEAKER_05
transcript.pyannote[109].start 487.29659375
transcript.pyannote[109].end 492.64596875
transcript.pyannote[110].speaker SPEAKER_05
transcript.pyannote[110].start 493.23659375
transcript.pyannote[110].end 500.22284375
transcript.pyannote[111].speaker SPEAKER_04
transcript.pyannote[111].start 500.22284375
transcript.pyannote[111].end 500.23971875
transcript.pyannote[112].speaker SPEAKER_04
transcript.pyannote[112].start 500.34096875
transcript.pyannote[112].end 500.81346875
transcript.pyannote[113].speaker SPEAKER_04
transcript.pyannote[113].start 501.45471875
transcript.pyannote[113].end 521.89034375
transcript.pyannote[114].speaker SPEAKER_05
transcript.pyannote[114].start 521.89034375
transcript.pyannote[114].end 526.07534375
transcript.pyannote[115].speaker SPEAKER_04
transcript.pyannote[115].start 522.17721875
transcript.pyannote[115].end 522.66659375
transcript.pyannote[116].speaker SPEAKER_05
transcript.pyannote[116].start 526.61534375
transcript.pyannote[116].end 536.80784375
transcript.pyannote[117].speaker SPEAKER_04
transcript.pyannote[117].start 534.96846875
transcript.pyannote[117].end 537.78659375
transcript.pyannote[118].speaker SPEAKER_04
transcript.pyannote[118].start 538.09034375
transcript.pyannote[118].end 541.97159375
transcript.pyannote[119].speaker SPEAKER_05
transcript.pyannote[119].start 542.78159375
transcript.pyannote[119].end 547.74284375
transcript.pyannote[120].speaker SPEAKER_05
transcript.pyannote[120].start 547.82721875
transcript.pyannote[120].end 549.17721875
transcript.pyannote[121].speaker SPEAKER_05
transcript.pyannote[121].start 549.36284375
transcript.pyannote[121].end 557.32784375
transcript.pyannote[122].speaker SPEAKER_04
transcript.pyannote[122].start 555.21846875
transcript.pyannote[122].end 563.89221875
transcript.pyannote[123].speaker SPEAKER_05
transcript.pyannote[123].start 564.36471875
transcript.pyannote[123].end 568.16159375
transcript.pyannote[124].speaker SPEAKER_05
transcript.pyannote[124].start 568.65096875
transcript.pyannote[124].end 570.15284375
transcript.pyannote[125].speaker SPEAKER_05
transcript.pyannote[125].start 571.46909375
transcript.pyannote[125].end 573.61221875
transcript.pyannote[126].speaker SPEAKER_05
transcript.pyannote[126].start 574.18596875
transcript.pyannote[126].end 579.21471875
transcript.pyannote[127].speaker SPEAKER_05
transcript.pyannote[127].start 579.90659375
transcript.pyannote[127].end 589.20471875
transcript.pyannote[128].speaker SPEAKER_04
transcript.pyannote[128].start 587.56784375
transcript.pyannote[128].end 593.57534375
transcript.pyannote[129].speaker SPEAKER_05
transcript.pyannote[129].start 594.16596875
transcript.pyannote[129].end 597.10221875
transcript.pyannote[130].speaker SPEAKER_04
transcript.pyannote[130].start 596.54534375
transcript.pyannote[130].end 597.05159375
transcript.pyannote[131].speaker SPEAKER_04
transcript.pyannote[131].start 597.10221875
transcript.pyannote[131].end 597.28784375
transcript.pyannote[132].speaker SPEAKER_05
transcript.pyannote[132].start 597.28784375
transcript.pyannote[132].end 602.72159375
transcript.pyannote[133].speaker SPEAKER_04
transcript.pyannote[133].start 602.16471875
transcript.pyannote[133].end 607.46346875
transcript.pyannote[134].speaker SPEAKER_05
transcript.pyannote[134].start 607.46346875
transcript.pyannote[134].end 608.25659375
transcript.pyannote[135].speaker SPEAKER_05
transcript.pyannote[135].start 608.40846875
transcript.pyannote[135].end 619.49534375
transcript.pyannote[136].speaker SPEAKER_04
transcript.pyannote[136].start 615.96846875
transcript.pyannote[136].end 621.11534375
transcript.pyannote[137].speaker SPEAKER_05
transcript.pyannote[137].start 621.72284375
transcript.pyannote[137].end 621.97596875
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 621.97596875
transcript.pyannote[138].end 622.02659375
transcript.pyannote[139].speaker SPEAKER_05
transcript.pyannote[139].start 622.02659375
transcript.pyannote[139].end 625.23284375
transcript.pyannote[140].speaker SPEAKER_05
transcript.pyannote[140].start 625.24971875
transcript.pyannote[140].end 628.96221875
transcript.pyannote[141].speaker SPEAKER_05
transcript.pyannote[141].start 629.41784375
transcript.pyannote[141].end 631.42596875
transcript.pyannote[142].speaker SPEAKER_05
transcript.pyannote[142].start 631.94909375
transcript.pyannote[142].end 635.05409375
transcript.pyannote[143].speaker SPEAKER_05
transcript.pyannote[143].start 635.22284375
transcript.pyannote[143].end 637.82159375
transcript.pyannote[144].speaker SPEAKER_05
transcript.pyannote[144].start 637.95659375
transcript.pyannote[144].end 650.22471875
transcript.pyannote[145].speaker SPEAKER_05
transcript.pyannote[145].start 650.25846875
transcript.pyannote[145].end 651.99659375
transcript.pyannote[146].speaker SPEAKER_05
transcript.pyannote[146].start 652.04721875
transcript.pyannote[146].end 654.02159375
transcript.pyannote[147].speaker SPEAKER_04
transcript.pyannote[147].start 652.63784375
transcript.pyannote[147].end 663.03284375
transcript.pyannote[148].speaker SPEAKER_04
transcript.pyannote[148].start 664.12971875
transcript.pyannote[148].end 664.16346875
transcript.pyannote[149].speaker SPEAKER_05
transcript.pyannote[149].start 664.16346875
transcript.pyannote[149].end 664.63596875
transcript.pyannote[150].speaker SPEAKER_04
transcript.pyannote[150].start 664.23096875
transcript.pyannote[150].end 665.02409375
transcript.pyannote[151].speaker SPEAKER_05
transcript.pyannote[151].start 665.02409375
transcript.pyannote[151].end 665.47971875
transcript.pyannote[152].speaker SPEAKER_04
transcript.pyannote[152].start 665.47971875
transcript.pyannote[152].end 665.49659375
transcript.pyannote[153].speaker SPEAKER_05
transcript.pyannote[153].start 665.49659375
transcript.pyannote[153].end 665.51346875
transcript.pyannote[154].speaker SPEAKER_05
transcript.pyannote[154].start 667.18409375
transcript.pyannote[154].end 687.63659375
transcript.pyannote[155].speaker SPEAKER_04
transcript.pyannote[155].start 685.47659375
transcript.pyannote[155].end 696.20909375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 693.44159375
transcript.pyannote[156].end 693.91409375
transcript.pyannote[157].speaker SPEAKER_04
transcript.pyannote[157].start 696.64784375
transcript.pyannote[157].end 699.65159375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 699.63471875
transcript.pyannote[158].end 699.97221875
transcript.pyannote[159].speaker SPEAKER_04
transcript.pyannote[159].start 699.88784375
transcript.pyannote[159].end 701.01846875
transcript.pyannote[160].speaker SPEAKER_04
transcript.pyannote[160].start 706.03034375
transcript.pyannote[160].end 716.03721875
transcript.pyannote[161].speaker SPEAKER_04
transcript.pyannote[161].start 716.42534375
transcript.pyannote[161].end 724.47471875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 722.87159375
transcript.pyannote[162].end 736.89471875
transcript.pyannote[163].speaker SPEAKER_04
transcript.pyannote[163].start 728.65971875
transcript.pyannote[163].end 731.29221875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 737.23221875
transcript.pyannote[164].end 758.95034375
transcript.pyannote[165].speaker SPEAKER_04
transcript.pyannote[165].start 738.88596875
transcript.pyannote[165].end 740.45534375
transcript.pyannote[166].speaker SPEAKER_04
transcript.pyannote[166].start 742.00784375
transcript.pyannote[166].end 743.17221875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 743.17221875
transcript.pyannote[167].end 743.23971875
transcript.pyannote[168].speaker SPEAKER_04
transcript.pyannote[168].start 745.46721875
transcript.pyannote[168].end 745.73721875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 745.73721875
transcript.pyannote[169].end 745.75409375
transcript.pyannote[170].speaker SPEAKER_04
transcript.pyannote[170].start 755.96346875
transcript.pyannote[170].end 756.08159375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 756.08159375
transcript.pyannote[171].end 756.11534375
transcript.pyannote[172].speaker SPEAKER_04
transcript.pyannote[172].start 756.11534375
transcript.pyannote[172].end 756.25034375
transcript.pyannote[173].speaker SPEAKER_04
transcript.pyannote[173].start 756.60471875
transcript.pyannote[173].end 757.09409375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 760.26659375
transcript.pyannote[174].end 761.97096875
transcript.whisperx[0].start 7.452
transcript.whisperx[0].end 19.027
transcript.whisperx[0].text 好 謝謝主席 我們請江署長很驕傲的署長剛剛講很驕傲嘛
transcript.whisperx[1].start 24.109
transcript.whisperx[1].end 47.915
transcript.whisperx[1].text 蘇長好報告委員謝謝委員我覺得今天食藥署該檢討的不是只有澳洲豬腳的檢驗驗出萊克多巴胺的這件事情我們應該是要檢討整個我們的食安把關的一個原則你身為這個食品安全守門人但是在萊豬擴關成功的時候你在記者會講的話
transcript.whisperx[2].start 49.955
transcript.whisperx[2].end 57.29
transcript.whisperx[2].text 讓人很錯愕啦因為你的回應一直在這個穿越時空在打民進黨的臉我們先看一下影片好了
transcript.whisperx[3].start 60.271
transcript.whisperx[3].end 71.654
transcript.whisperx[3].text 在高達有八成的民意反對之下仍然要來開放美國含有瘦肉精的肉品進口本黨堅決反對這個瘦肉精是為了增加商業的利益這些添加物根本就不需要存在這個食物裡面更不必要讓民眾直接去承擔健康的一個風險
transcript.whisperx[4].start 86.357
transcript.whisperx[4].end 93.022
transcript.whisperx[4].text 民進黨團再次重生只有零減輸瘦肉精只有零減輸瘦肉精只有零減輸瘦肉精只有零減輸
transcript.whisperx[5].start 106.112
transcript.whisperx[5].end 134.622
transcript.whisperx[5].text 對於所有的作品絕對不能含有瘦肉精的這個立場跟態度我們維持一貫的這個原則我沒有辦法接受這樣的政府為了個人的政治籌碼或是過去的一個政治交易來忽略掉普通的健康使用組這邊不會硬性規定要公佈的進口萊豬的廠商或者是惹象嗎根據食安法的規定其實不合格的也是要公佈你合格的公佈那大致上合格的我們就公佈
transcript.whisperx[6].start 135.762
transcript.whisperx[6].end 137.875
transcript.whisperx[6].text 好 署長 剛剛那些人你都認識啦
transcript.whisperx[7].start 140.053
transcript.whisperx[7].end 169.057
transcript.whisperx[7].text 這幾位有些還在立法院,這些人有跟你抗議過嗎?郭委員你說吃一輩子都不會吃屎的這個說法當初民進黨的檢驗標準是零檢出那影片裡面就有兩位好像馬上要競爭台南市長的委員當時的賴清德市長以捍衛食安的決心以前他捍衛食安的決心是非常非常堅定的
transcript.whisperx[8].start 170.424
transcript.whisperx[8].end 194.516
transcript.whisperx[8].text 那現在想要當賴清德接班的這兩個遊客有沒有跟你表示跟委員這邊做報告剛才那個是在美牛的時代美牛時代世界Codex還沒有訂出標準所以我覺得當時還沒有那麼清楚的情況下有這樣子的一個論述我都保有尊重98年我們12月9號賴清德當時的立委要求國民黨
transcript.whisperx[9].start 195.476
transcript.whisperx[9].end 215.166
transcript.whisperx[9].text 主動順應民意禁止毒牛進口在當天民進黨團為了美牛修法也包圍了我們立法院的主席台101年2月9號賴清德市長說執政者不能棄守國人健康那101年2月16賴清德市長就說他在台南市率先執行
transcript.whisperx[10].start 217.207
transcript.whisperx[10].end 231.266
transcript.whisperx[10].text 禁用瘦肉精拒吃毒豬牛的政策他說即使是美國也要尊重我們台灣的國情勒印要用萊克多巴胺就是不尊重台灣的老百姓你還記得他講的這些話嗎
transcript.whisperx[11].start 233.452
transcript.whisperx[11].end 257.323
transcript.whisperx[11].text 報告委員 我想當時的時空背景世界還沒有標準標準都一樣了嘛標準那時候還沒有定Codex還沒有定標準所以在那樣時空背景如果配合我的課程的課去上完之後對於到現在已經經過十幾年會有新的一個體會跟體驗我們耐心的總統當時還嗆我們的總統說他說如果為了要當總統然後犧牲人民的權益那不如不要當啊
transcript.whisperx[12].start 258.393
transcript.whisperx[12].end 284.824
transcript.whisperx[12].text 對不對那我們現在總統有告訴你驗出這個這個來這個來劑他接受嗎我想他有告訴你嗎在萊克多巴胺被開放了一個是在前馬英九前總統的牛肉的開放目前有兩千四百九十三批也有驗到微量其中六批有超標我們把它退運了銷毀豬肉的部分呢從驗了之後有三批那是在一百一十年蔡總統的時候開放蔡總統也講過政府做不來就下台嘛
transcript.whisperx[13].start 288.394
transcript.whisperx[13].end 316.208
transcript.whisperx[13].text 對他的標準你認為你要不要下台對於現在因為我們國家法令上面已經訂定說萊克多巴胺可以在豬肉牛肉裡面有參與的標準有這個標準如果標準超標的我們會退役如果沒有消費的話就就應該在記者上的回應我想請問一下就我們對食安法的認知這食安法立法的精神他是保護消費者還是廠商還是未來拿來當談判的籌碼
transcript.whisperx[14].start 318.329
transcript.whisperx[14].end 346.008
transcript.whisperx[14].text 郭委員是以全民的 國家至上全民優先的 食品安全的 食安優先的想法那人民現在會恐慌 你知道嗎剛剛都很多人在講這件事情他的原因就是不確定性跟這個未知性他知道我們應該讓他 剛剛我們玉敏委員有講到我們要讓人民他有選擇的權利所以我認為你們說這個一直到現在都不願意公佈流向這個原因是什麼
transcript.whisperx[15].start 347.554
transcript.whisperx[15].end 364.241
transcript.whisperx[15].text 報告委員因為我們現在面對的是檢驗進來是合格的廠商規定是經過我們大院以及行政部門裡面訂定的他們沒有違規的情形之下他現在驗出來沒有違規嗎他沒有違規他是檢出違規是0.01ppm以上你在記者會上說如果都要公佈就公佈不完現在驗出只有3p不是嗎
transcript.whisperx[16].start 375.656
transcript.whisperx[16].end 401.432
transcript.whisperx[16].text 對 因為還有牛的牛會有兩千多匹我想說對於合格的廠商我們豬肉可以在我們那個那個豬肉魚錶板上看到嘛那牛要在哪裡看對 因為牛沒有牛肉魚錶板因為當初的背景上面沒有特別其實如果沒有豬肉魚錶板你們網站上說牛肉跟那個牛雜碎驗出兩千四百九十三匹退了六匹嘛 對不對六匹 銷毀跟退回嘛
transcript.whisperx[17].start 404.033
transcript.whisperx[17].end 405.882
transcript.whisperx[17].text 那這個部分我們民眾要去哪裡看啊
transcript.whisperx[18].start 407.56
transcript.whisperx[18].end 436.018
transcript.whisperx[18].text 這個部分其實是在我們的行政上面的因為沒有顯示出來它違規的其實我們就是審查你們四五月這個抽批這個率是多少你說我們現在抽批要邊境因為我們是用人工智慧的所謂人工智慧導入的實案預測抽檢我們希望是精準檢驗所以2%到10%原則上到底是幾%對它符合在標準的範圍我們抽批大概是在10%以下
transcript.whisperx[19].start 437.324
transcript.whisperx[19].end 458.303
transcript.whisperx[19].text 對 那我記得剛剛也講到去年蘇丹紅事件我們本來也是2到10後來也改到百分之百嘛對 跟我有報告那個是怎麼後來怎麼調的它是因為它是違規的蘇丹紅是不得檢出是違規的我們就打XX了如果它是合規的我們其實是打圈就放心我們耐心的總統標準是零檢出
transcript.whisperx[20].start 459.424
transcript.whisperx[20].end 480.602
transcript.whisperx[20].text 那個在石東的背景底下,對於萊克多灣還沒有定所以經過這麼多年,我會請有相應的代表同事來交流你的專業,我們當然是尊重,可是我們一直認為說,你應該要把這個產地或者是它裡面的一些規範,就是它的產地的一些數字,要把它標示清楚
transcript.whisperx[21].start 483.165
transcript.whisperx[21].end 492.413
transcript.whisperx[21].text 我們現在針對所有的豬肉不管國內國外我們都一體適用都有標示的在這邊跟委員做進一步的說明
transcript.whisperx[22].start 493.328
transcript.whisperx[22].end 521.646
transcript.whisperx[22].text 有標示產地嗎?原料的原產地一體試用國內國外的其實都有都有標示的好那我在想啦因為現在查出這樣的一個問題我希望我們原來的機制就是說當我們的抽檢率它突然抽到非常多的時候我們的那些這個抽檢率就要繼續提高因為你剛剛講的你只抽10%那另外90%你沒抽嘛
transcript.whisperx[23].start 522.507
transcript.whisperx[23].end 536.441
transcript.whisperx[23].text 報告委員因為這一次的總共3批其實在澳洲是同一個製造廠所以其實是一個所以我們雖然說他合格我們眼睛有偷偷增大增量那你剛剛有沒有打算去看看像這樣驗出來的這個產地那我們以後還會讓他進來嗎
transcript.whisperx[24].start 542.827
transcript.whisperx[24].end 569.662
transcript.whisperx[24].text 因為進口澳洲的廠商要進口選擇其實是來自於進口貿易商進口貿易商我們其實非常尊重他們我們設的標準之後按照這標準來做管理如果他們送來的東西都是常常出現問題的時候是不是我們應該剛剛我們幾個委員有講到要去茶廠看一下但關於這個茶廠部分剛才特別提到那是在農委會的時代
transcript.whisperx[25].start 571.736
transcript.whisperx[25].end 593.291
transcript.whisperx[25].text 豬肉 澳洲豬肉就已經是進來了那基於性耐保護原則我們沒有再進一步的查查而且對豬肉廠在澳洲呢它是牛肉 豬肉 羊肉 鹿肉是一起的那個部分其實我們去查過查所以對於豬的部分其實查是同樣的我們現在如果有驗出來的我們有驗出來的話我們可不可以標示嗎
transcript.whisperx[26].start 594.873
transcript.whisperx[26].end 621.013
transcript.whisperx[26].text 呃 我們剛才提到的其實所有的你可以標示嗎所有的我們都當作是一體適用的產地的都會做標示不是 我是說有驗出這個萊克多萊基的這個萊克多瓦安的這個肉品我想喔 以我我是行政的協助國安保安使安的過程當中如果我設了一個標準它是合格的不管啦 然後我把標示出來你只要驗出來它有法源的依據那你就標示進去嘛
transcript.whisperx[27].start 621.773
transcript.whisperx[27].end 649.661
transcript.whisperx[27].text 我們國人要不要吃他的權利啊我想跟委員報告一下因為如果在這個前提之下那我只要驗到草莓有什麼農藥的我就要標示草莓農藥可是它是合格的那其實國人看到更害怕更瘋狂怎麼會有農藥殘餘其實它會有殘餘其實是我們可以理解但是在我們的食品安全風險分析向下想盡辦法訂出一個殘留的標準這個殘留標準按照定義
transcript.whisperx[28].start 650.701
transcript.whisperx[28].end 663.018
transcript.whisperx[28].text 劑量會決定毒性因為這個劑量因為現在大家聽到這個萊劑吼有含驗萊劑的肉品大家都恐慌啦吼那所以你們是要告訴大家這個萊劑是可以吃的我先委員報告一下
transcript.whisperx[29].start 667.216
transcript.whisperx[29].end 692.228
transcript.whisperx[29].text 大家的恐慌很大一部分是對我在食品安全風險分析這種安全性上面的支持我希望以我的多年來的專業能夠把我的安全轉換成對民眾的安心我一定是以食安優先以人民的優先國家至上的原則來去希望我們站在維護國人這個食安的這個立場我希望我們大家來可以討論我覺得這個部分應該是可以討論希望大家來
transcript.whisperx[30].start 696.73
transcript.whisperx[30].end 700.832
transcript.whisperx[30].text 研擬一套辦法讓我們的國人能夠安心那我再請部長一下部長請問一下關於外國學歷認證修法的問題你們認為變嚴格但是一屆一些團體認為你們是在放水那我覺得是不是我們來安排一場跟衛福部跟團體我們直接坐下來溝通你贊成嗎沒有問題可以啦我上任以來最
transcript.whisperx[31].start 725.983
transcript.whisperx[31].end 741.07
transcript.whisperx[31].text 溝通最長的時間就是跟那個團體我想EOS家的媒體在旁邊直接播給全國播到最後媒體都一直撤了因為已經太累了這樣子那如果我們安排的話至少有五部派代表好不好
transcript.whisperx[32].start 742.07
transcript.whisperx[32].end 755.001
transcript.whisperx[32].text 我們非常樂意來互動而且已經解釋過很多次了如果還有擔心我們不能讓這些年輕的醫師擔心而且會有誤傳這樣也不好啦我們非常願意謝謝