iVOD / 161758

Field Value
IVOD_ID 161758
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/161758
日期 2025-05-21
會議資料.會議代碼 委員會-11-3-26-12
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12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 12
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12次全體委員會議
影片種類 Clip
開始時間 2025-05-21T12:59:08+08:00
結束時間 2025-05-21T13:06:39+08:00
影片長度 00:07:31
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/e381da0d479eb7db39ba31cfb897190dcdb65d50a7385bb67364d18bd4e850e85e42fc9f2fe0e8b55ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 張啓楷
委員發言時間 12:59:08 - 13:06:39
會議時間 2025-05-21T09:00:00+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12次全體委員會議(事由:邀請衛生福利部、教育部就「性騷擾防治及外聘督導制度精進作為」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 11.47221875
transcript.pyannote[0].end 13.46346875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 19.31909375
transcript.pyannote[1].end 19.87596875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 21.07409375
transcript.pyannote[2].end 25.86659375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 26.86221875
transcript.pyannote[3].end 29.96721875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 31.14846875
transcript.pyannote[4].end 34.82721875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 36.26159375
transcript.pyannote[5].end 39.70409375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 40.44659375
transcript.pyannote[6].end 43.66971875
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 44.00721875
transcript.pyannote[7].end 50.18346875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 50.65596875
transcript.pyannote[8].end 57.42284375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 57.96284375
transcript.pyannote[9].end 65.70846875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 67.71659375
transcript.pyannote[10].end 71.42909375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 72.07034375
transcript.pyannote[11].end 76.39034375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 77.85846875
transcript.pyannote[12].end 80.76096875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 81.46971875
transcript.pyannote[13].end 86.14409375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 88.03409375
transcript.pyannote[14].end 88.42221875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 88.77659375
transcript.pyannote[15].end 91.29096875
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 91.91534375
transcript.pyannote[16].end 94.96971875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 96.16784375
transcript.pyannote[17].end 96.74159375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 97.45034375
transcript.pyannote[18].end 100.28534375
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 101.06159375
transcript.pyannote[19].end 102.05721875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 103.40721875
transcript.pyannote[20].end 103.93034375
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 104.23409375
transcript.pyannote[21].end 105.21284375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 105.88784375
transcript.pyannote[22].end 107.59221875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 110.07284375
transcript.pyannote[23].end 111.47346875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 112.08096875
transcript.pyannote[24].end 113.92034375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 114.13971875
transcript.pyannote[25].end 115.99596875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 117.32909375
transcript.pyannote[26].end 119.67471875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 121.05846875
transcript.pyannote[27].end 121.61534375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 122.34096875
transcript.pyannote[28].end 123.38721875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 123.72471875
transcript.pyannote[29].end 125.20971875
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 126.30659375
transcript.pyannote[30].end 127.89284375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 128.34846875
transcript.pyannote[31].end 129.41159375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 129.83346875
transcript.pyannote[32].end 130.55909375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 131.18346875
transcript.pyannote[33].end 134.15346875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 135.50346875
transcript.pyannote[34].end 136.24596875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 137.83221875
transcript.pyannote[35].end 140.22846875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 141.86534375
transcript.pyannote[36].end 142.69221875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 144.64971875
transcript.pyannote[37].end 149.54346875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 149.76284375
transcript.pyannote[38].end 152.36159375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 153.55971875
transcript.pyannote[39].end 154.69034375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 155.88846875
transcript.pyannote[40].end 156.52971875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 156.81659375
transcript.pyannote[41].end 157.79534375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 158.97659375
transcript.pyannote[42].end 160.76534375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 161.35596875
transcript.pyannote[43].end 162.18284375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 163.27971875
transcript.pyannote[44].end 164.27534375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 165.65909375
transcript.pyannote[45].end 167.31284375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 168.10596875
transcript.pyannote[46].end 169.23659375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 170.51909375
transcript.pyannote[47].end 171.31221875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 172.10534375
transcript.pyannote[48].end 174.36659375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 177.40409375
transcript.pyannote[49].end 181.06596875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 181.36971875
transcript.pyannote[50].end 181.99409375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 183.37784375
transcript.pyannote[51].end 187.02284375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 187.88346875
transcript.pyannote[52].end 191.56221875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 192.89534375
transcript.pyannote[53].end 196.38846875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 196.87784375
transcript.pyannote[54].end 197.60346875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 198.21096875
transcript.pyannote[55].end 198.61596875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 199.22346875
transcript.pyannote[56].end 201.46784375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 202.02471875
transcript.pyannote[57].end 204.11721875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 206.96909375
transcript.pyannote[58].end 207.82971875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 208.15034375
transcript.pyannote[59].end 208.52159375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 209.53409375
transcript.pyannote[60].end 210.31034375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 211.33971875
transcript.pyannote[61].end 212.62221875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 213.75284375
transcript.pyannote[62].end 215.08596875
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 215.87909375
transcript.pyannote[63].end 216.36846875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 218.84909375
transcript.pyannote[64].end 223.43909375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 224.43471875
transcript.pyannote[65].end 240.56721875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 241.02284375
transcript.pyannote[66].end 241.25909375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 241.25909375
transcript.pyannote[67].end 245.76471875
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 241.27596875
transcript.pyannote[68].end 242.35596875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 246.08534375
transcript.pyannote[69].end 246.13596875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 246.13596875
transcript.pyannote[70].end 246.42284375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 246.42284375
transcript.pyannote[71].end 246.43971875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 246.43971875
transcript.pyannote[72].end 247.26659375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 246.47346875
transcript.pyannote[73].end 247.38471875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 248.36346875
transcript.pyannote[74].end 249.54471875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 250.30409375
transcript.pyannote[75].end 253.79721875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 254.59034375
transcript.pyannote[76].end 258.62346875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 258.94409375
transcript.pyannote[77].end 261.91409375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 262.43721875
transcript.pyannote[78].end 266.01471875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 262.67346875
transcript.pyannote[79].end 262.99409375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 266.47034375
transcript.pyannote[80].end 267.98909375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 268.46159375
transcript.pyannote[81].end 269.76096875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 271.17846875
transcript.pyannote[82].end 273.38909375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 274.11471875
transcript.pyannote[83].end 276.57846875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 277.86096875
transcript.pyannote[84].end 281.21909375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 281.80971875
transcript.pyannote[85].end 282.90659375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 284.66159375
transcript.pyannote[86].end 285.10034375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 285.10034375
transcript.pyannote[87].end 286.87221875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 285.11721875
transcript.pyannote[88].end 286.63596875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 287.46284375
transcript.pyannote[89].end 290.63534375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 291.15846875
transcript.pyannote[90].end 293.63909375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 293.92596875
transcript.pyannote[91].end 295.05659375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 295.66409375
transcript.pyannote[92].end 296.03534375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 296.89596875
transcript.pyannote[93].end 304.00034375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 304.00034375
transcript.pyannote[94].end 315.28971875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 315.59346875
transcript.pyannote[95].end 316.03221875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 316.03221875
transcript.pyannote[96].end 316.42034375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 316.92659375
transcript.pyannote[97].end 329.16096875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 320.90909375
transcript.pyannote[98].end 321.43221875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 329.31284375
transcript.pyannote[99].end 345.90096875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 330.15659375
transcript.pyannote[100].end 333.90284375
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 344.46659375
transcript.pyannote[101].end 349.46159375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 349.69784375
transcript.pyannote[102].end 351.21659375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 353.73096875
transcript.pyannote[103].end 364.00784375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 354.22034375
transcript.pyannote[104].end 356.41409375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 364.37909375
transcript.pyannote[105].end 367.68659375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 367.83846875
transcript.pyannote[106].end 373.10346875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 373.44096875
transcript.pyannote[107].end 373.79534375
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 374.35221875
transcript.pyannote[108].end 377.25471875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 377.44034375
transcript.pyannote[109].end 378.68909375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 380.44409375
transcript.pyannote[110].end 382.43534375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 383.07659375
transcript.pyannote[111].end 386.24909375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 386.67096875
transcript.pyannote[112].end 389.59034375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 390.09659375
transcript.pyannote[113].end 391.76721875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 392.17221875
transcript.pyannote[114].end 398.04471875
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 396.96471875
transcript.pyannote[115].end 402.97221875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 403.32659375
transcript.pyannote[116].end 404.44034375
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 404.99721875
transcript.pyannote[117].end 406.46534375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 406.80284375
transcript.pyannote[118].end 408.35534375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 409.65471875
transcript.pyannote[119].end 410.93721875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 411.24096875
transcript.pyannote[120].end 413.68784375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 414.59909375
transcript.pyannote[121].end 418.15971875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 418.49721875
transcript.pyannote[122].end 424.90971875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 425.53409375
transcript.pyannote[123].end 426.20909375
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 427.89659375
transcript.pyannote[124].end 429.04409375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 429.80346875
transcript.pyannote[125].end 431.23784375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 431.60909375
transcript.pyannote[126].end 432.50346875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 433.17846875
transcript.pyannote[127].end 436.73909375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 437.16096875
transcript.pyannote[128].end 445.54784375
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 448.63596875
transcript.pyannote[129].end 450.96471875
transcript.whisperx[0].start 11.459
transcript.whisperx[0].end 13.261
transcript.whisperx[0].text 謝謝 主席 現在林市長市長 您什麼時候知道林業勤林委員是凱凱案這個案子仿事社公司的督導應該是前一段時間立法院這邊講出來的凱凱案老講 現在今天談起來心都還很疼
transcript.whisperx[1].start 40.512
transcript.whisperx[1].end 65.448
transcript.whisperx[1].text 心都還很疼 現在大家覺得很意外的是林月琴明明是外部的這個督導她應該是第一時間應該是很快知道凱凱被售內而死這個案子可是呢她一直默不作聲就我了解月琴委員好像在2023年底還是2024年初她就跟幾位委員很關心這個案子
transcript.whisperx[2].start 67.745
transcript.whisperx[2].end 85.998
transcript.whisperx[2].text 大家疑問的是說過了三個月媒體報導說那時候的國民黨立委王玉敏他是兒福聯盟的董事那時候他已經被迫要辭職了當天民進黨還有十多位的立委到衛環委員會這邊來杯葛議事大家一定有印象嘛林業勤林委員也是其中之一他安靜從容地坐在這邊而且做了質詢
transcript.whisperx[3].start 97.486
transcript.whisperx[3].end 107.212
transcript.whisperx[3].text 他一副還是以專家自居大家在問的是一個凱凱案的社工園的外部督導他盡了什麼樣的責任第二個 當民進黨圍剿王一鳴的時候你內勤不曉得他的責任也很重嗎今天台灣民眾黨沒有要向民進黨
transcript.whisperx[4].start 126.328
transcript.whisperx[4].end 151.847
transcript.whisperx[4].text 那要去圍剿王毅民或者去圍剿當初推動壯世代的吳春城吳春城為了解決55歲以上的年長者希望有更好的生活有更好的這個工作也解決我們少子化缺工的問題也希望推動壯世代這個產業他在民進黨的
transcript.whisperx[5].start 155.919
transcript.whisperx[5].end 173.53
transcript.whisperx[5].text 杯葛抹黑之下他為了自清 為了保住他的壯士代他選擇了辭去立法委員名字現在大家最要問的林業勤啊林業勤到現在盡了什麼責任台灣民眾黨不會像民進黨這樣去圍剿林業勤可是
transcript.whisperx[6].start 183.427
transcript.whisperx[6].end 204.073
transcript.whisperx[6].text 站在人民的角度來看至少兩個問題要解決啊一個是凱凱案為什麼這麼悲慘的事情會發生我們整個社福的制度面裡面出了什麼樣的大問題這是第一個第二個重要的林內勤的角色他到底要負責怎麼樣的責任我要請教次長林內勤到現在都還是
transcript.whisperx[7].start 213.783
transcript.whisperx[7].end 216.346
transcript.whisperx[7].text 淨堅基金會的董事淨堅基金會多年來拿了很多包括衛福部的案子標案對不對
transcript.whisperx[8].start 224.951
transcript.whisperx[8].end 253.201
transcript.whisperx[8].text 這個我們剛剛今天委員有質詢到基金會那基金會這邊我們都是來接基金會來跟我們申請的案子好那根據採購法委員會這個應該是立衝法這些基金會來跟我們申請或者是來跟我們標案他們必須要提出當初民進黨在指責其他人的時候是不是講這就是在利益迴避我們也希望 老實講吳春城非常生氣說有人把他跟林業勤這個案子拿來對比
transcript.whisperx[9].start 254.619
transcript.whisperx[9].end 280.814
transcript.whisperx[9].text 可是老實講你如果真的要拿來對比你如果講無尊整個利益迴避的這個問題林月琴這個案子嚴重100倍以上更清楚更多的案子而且是大家到現在喔林月琴到現在還是進監基金會的這個董事這是第一個問題第二個我要問你了他為什麼可以一個人身兼那麼多職他是督導又是講師又是評鑑委員評鑑演的這個委員
transcript.whisperx[10].start 284.693
transcript.whisperx[10].end 301.422
transcript.whisperx[10].text 委員你是在哪一個單位我說你現在新北市跟台北市都提出來了對不對你在衛福部這麼久你也當過立委對不對有任何市長除了林燕瓊之外有一個人是負責社工園當督導的又是講師又是評鑑員是委員嗎有嗎
transcript.whisperx[11].start 303.143
transcript.whisperx[11].end 314.462
transcript.whisperx[11].text 你印象中有一個嗎我們在醫界事實上蠻常會有又是醫師又是評鑑委員然後他本身可能又是某一些機關的評鑑的督導那也是一些包含指導的講師你覺得這樣
transcript.whisperx[12].start 316.963
transcript.whisperx[12].end 332.91
transcript.whisperx[12].text 一個人申請這麼多詞是合適的嗎沒有這個衝突嗎委員我們只能今天最近這一兩個禮拜有多少的專家學者跟民意代表出來提醒這一點了你們是做一個改革嗎委員我只能就包含立衝相關的社福團體應該這樣嗎我跟您報告就是說社福團體來跟衛福部申請經費或者是標案那我們也要求社福團體依照我們剛剛講立衝的法他們要揭露他們內部的一些相關是不是有立衝的部分衛福部在看
transcript.whisperx[13].start 347.038
transcript.whisperx[13].end 350.551
transcript.whisperx[13].text 談王詠敏的時候談吳淳祥不是這樣回答吧這是嚴重的一個雙標
transcript.whisperx[14].start 354.472
transcript.whisperx[14].end 378.468
transcript.whisperx[14].text 我要強調 我剛講過了我們不會像台灣台灣民眾黨不會像民進黨這樣圍剿任何的立法委員我們要的是一個公道制度破洞了趕快去找制度面把它補起來第二個 個人該負的責任要負起責任這樣才是個良善的台灣社會有問題解決 有辦法解決問題的台灣社會所以有具體的要求
transcript.whisperx[15].start 380.529
transcript.whisperx[15].end 408.14
transcript.whisperx[15].text 是不是林烈祺應該馬上辭掉淨堅兒童安全文教基金會的董事還有台少門副董事長 副理事長這個職務這些都是民間團體 民間團體衛福部這邊他們內部的董事成員我們目前沒有任何權利好 那我鄭重的呼籲林烈祺林委員你好好去思考這個而且我也呼籲民進黨不只不要雙標你們不要繼續包庇形同縱容
transcript.whisperx[16].start 409.693
transcript.whisperx[16].end 422.761
transcript.whisperx[16].text 台灣人民都正在看這麼悲慘的一個凱凱案到底要怎麼去捕破網不要有這樣的悲劇在發生有人該負責的應該肩負自己的責任我沒有像民進黨那麼狠那麼毒圍毆
transcript.whisperx[17].start 427.97
transcript.whisperx[17].end 444.719
transcript.whisperx[17].text 其他立委的時候逼迫人家要請辭還告人家我們現在只是從制度面從個人的這個責任請民進黨也不要再包庇請聶委員好好面對面對問題面對自己的責任解決問題謝謝好謝謝詹委員謝謝