iVOD / 170058

Field Value
IVOD_ID 170058
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/170058
日期 2026-06-18
會議資料.會議代碼 聯席會議-11-5-22,26-1
會議資料.會議代碼:str 第11屆第5會期教育及文化委員會、社會福利及衛生環境委員會第1次聯席會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 1
會議資料.種類 聯席會議
會議資料.委員會代碼[0] 22
會議資料.委員會代碼[1] 26
會議資料.委員會代碼:str[0] 教育及文化委員會
會議資料.委員會代碼:str[1] 社會福利及衛生環境委員會
會議資料.標題 第11屆第5會期教育及文化委員會、社會福利及衛生環境委員會第1次聯席會議
影片種類 Clip
開始時間 2026-06-18T10:02:07+08:00
結束時間 2026-06-18T10:13:09+08:00
影片長度 00:11:02
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ac5d42f4fd98837a50014654d71d4e57552618e67150a9fc5dfbff722aff1dc512974bf4722aa1b25ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 羅智強
委員發言時間 10:02:07 - 10:13:09
會議時間 2026-06-18T09:00:00+08:00
會議名稱 立法院第11屆第5會期教育及文化委員會、社會福利及衛生環境委員會第1次聯席會議(事由:一、審查 (一)委員蘇清泉等20人擬具「幼兒教育及照顧法第三十七條條文修正草案」案。 (二)委員徐欣瑩等20人擬具「幼兒教育及照顧法第七條條文修正草案」案。 (三)委員林月琴等16人擬具「幼兒教育及照顧法第三十條條文修正草案」案。 (四)委員王育敏等21人擬具「幼兒教育及照顧法部分條文修正草案」案。 (五)委員陳培瑜等18人擬具「幼兒教育及照顧法第十一條、第十二條及第三十二條之一條文修正草案」案。 (六)委員徐巧芯等21人擬具「幼兒教育及照顧法第七條條文修正草案」案。 (七)委員葉元之等17人擬具「幼兒教育及照顧法第七條條文修正草案」案。 (八)委員黃仁等19人擬具「幼兒教育及照顧法第七條條文修正草案」案。 (九)委員張嘉郡等19人擬具「幼兒教育及照顧法第七條條文修正草案」案。 (十)委員羅廷瑋等22人擬具「幼兒教育及照顧法第七條條文修正草案」案。 (十一)台灣民眾黨黨團擬具「幼兒教育及照顧法第七條條文修正草案」案。 (十二)委員羅智強等17人擬具「幼兒教育及照顧法第七條條文修正草案」案。 (十三)委員鄭正鈐等17人擬具「幼兒教育及照顧法第七條條文修正草案」案。 (十四)委員林倩綺等23人擬具「幼兒教育及照顧法第七條條文修正草案」案。 (十五)委員廖先翔等16人擬具「幼兒教育及照顧法第七條條文修正草案」案。 (十六)委員王育敏等23人擬具「幼兒教育及照顧法第七條條文修正草案」案。 (十七)委員王育敏等21人擬具「幼兒教育及照顧法第四十三條及第五十二條條文修正 草案」案。 (十八)委員廖偉翔等23人擬具「幼兒教育及照顧法第七條條文修正草案」案。 (十九)委員葛如鈞等18人擬具「幼兒教育及照顧法第七條條文修正草案」案。 (二十)委員李彥秀等19人擬具「幼兒教育及照顧法第七條條文修正草案」案。 【進行詢答及逐條審查】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 4.24971875
transcript.pyannote[0].end 5.16096875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 5.32971875
transcript.pyannote[1].end 5.88659375
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 10.02096875
transcript.pyannote[2].end 10.03784375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 10.03784375
transcript.pyannote[3].end 10.27409375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 10.27409375
transcript.pyannote[4].end 10.29096875
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 12.36659375
transcript.pyannote[5].end 13.05846875
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 13.63221875
transcript.pyannote[6].end 17.05784375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 17.96909375
transcript.pyannote[7].end 20.77034375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 21.52971875
transcript.pyannote[8].end 22.45784375
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 22.84596875
transcript.pyannote[9].end 24.28034375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 25.03971875
transcript.pyannote[10].end 28.66784375
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 28.92096875
transcript.pyannote[11].end 35.41784375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 36.37971875
transcript.pyannote[12].end 41.23971875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 41.93159375
transcript.pyannote[13].end 44.22659375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 44.91846875
transcript.pyannote[14].end 49.18784375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 50.23409375
transcript.pyannote[15].end 51.65159375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 55.87034375
transcript.pyannote[16].end 56.52846875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 56.95034375
transcript.pyannote[17].end 57.40596875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 58.06409375
transcript.pyannote[18].end 63.88596875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 64.81409375
transcript.pyannote[19].end 65.53971875
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 66.02909375
transcript.pyannote[20].end 67.19346875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 68.15534375
transcript.pyannote[21].end 68.81346875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 69.50534375
transcript.pyannote[22].end 70.23096875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 70.83846875
transcript.pyannote[23].end 71.76659375
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 72.72846875
transcript.pyannote[24].end 73.97721875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 74.93909375
transcript.pyannote[25].end 75.63096875
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 76.82909375
transcript.pyannote[26].end 77.85846875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 78.63471875
transcript.pyannote[27].end 80.03534375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 81.67221875
transcript.pyannote[28].end 83.02221875
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 84.28784375
transcript.pyannote[29].end 85.50284375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 86.29596875
transcript.pyannote[30].end 87.93284375
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 88.97909375
transcript.pyannote[31].end 89.85659375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 90.83534375
transcript.pyannote[32].end 92.43846875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 93.48471875
transcript.pyannote[33].end 93.95721875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 94.90221875
transcript.pyannote[34].end 95.86409375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 97.24784375
transcript.pyannote[35].end 98.02409375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 98.10846875
transcript.pyannote[36].end 100.48784375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 102.54659375
transcript.pyannote[37].end 102.96846875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 102.96846875
transcript.pyannote[38].end 103.47471875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 105.76971875
transcript.pyannote[39].end 106.79909375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 107.15346875
transcript.pyannote[40].end 107.57534375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 109.00971875
transcript.pyannote[41].end 109.19534375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 109.98846875
transcript.pyannote[42].end 110.00534375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 110.00534375
transcript.pyannote[43].end 111.40596875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 112.24971875
transcript.pyannote[44].end 113.34659375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 114.32534375
transcript.pyannote[45].end 115.00034375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 115.59096875
transcript.pyannote[46].end 117.14346875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 118.05471875
transcript.pyannote[47].end 119.37096875
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 120.02909375
transcript.pyannote[48].end 120.43409375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 120.94034375
transcript.pyannote[49].end 121.66596875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 124.41659375
transcript.pyannote[50].end 125.36159375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 126.77909375
transcript.pyannote[51].end 133.41096875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 133.73159375
transcript.pyannote[52].end 143.45159375
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 141.98346875
transcript.pyannote[53].end 143.28284375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 143.99159375
transcript.pyannote[54].end 144.21096875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 144.21096875
transcript.pyannote[55].end 144.22784375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 144.58221875
transcript.pyannote[56].end 145.03784375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 145.03784375
transcript.pyannote[57].end 145.35846875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 145.35846875
transcript.pyannote[58].end 145.39221875
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 145.74659375
transcript.pyannote[59].end 145.79721875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 145.79721875
transcript.pyannote[60].end 146.72534375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 147.33284375
transcript.pyannote[61].end 148.39596875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 150.04971875
transcript.pyannote[62].end 150.94409375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 152.00721875
transcript.pyannote[63].end 154.28534375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 154.53846875
transcript.pyannote[64].end 155.50034375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 155.88846875
transcript.pyannote[65].end 157.62659375
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 158.77409375
transcript.pyannote[66].end 160.03971875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 160.17471875
transcript.pyannote[67].end 160.83284375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 161.10284375
transcript.pyannote[68].end 163.98846875
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 166.40159375
transcript.pyannote[69].end 166.43534375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 166.43534375
transcript.pyannote[70].end 167.41409375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 167.56596875
transcript.pyannote[71].end 168.08909375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 169.47284375
transcript.pyannote[72].end 171.19409375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 173.05034375
transcript.pyannote[73].end 176.27346875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 178.50096875
transcript.pyannote[74].end 179.39534375
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 180.67784375
transcript.pyannote[75].end 182.60159375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 183.05721875
transcript.pyannote[76].end 184.69409375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 185.82471875
transcript.pyannote[77].end 186.85409375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 188.20409375
transcript.pyannote[78].end 188.57534375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 190.39784375
transcript.pyannote[79].end 197.02971875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 197.85659375
transcript.pyannote[80].end 200.74221875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 201.11346875
transcript.pyannote[81].end 202.86846875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 204.03284375
transcript.pyannote[82].end 207.89721875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 209.50034375
transcript.pyannote[83].end 209.97284375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 210.95159375
transcript.pyannote[84].end 212.16659375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 213.02721875
transcript.pyannote[85].end 214.68096875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 215.96346875
transcript.pyannote[86].end 217.83659375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 218.05596875
transcript.pyannote[87].end 219.28784375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 219.77721875
transcript.pyannote[88].end 221.78534375
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 222.52784375
transcript.pyannote[89].end 223.06784375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 224.36721875
transcript.pyannote[90].end 228.18096875
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 229.76721875
transcript.pyannote[91].end 233.46284375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 234.17159375
transcript.pyannote[92].end 235.96034375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 237.20909375
transcript.pyannote[93].end 237.81659375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 239.18346875
transcript.pyannote[94].end 241.61346875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 243.11534375
transcript.pyannote[95].end 243.55409375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 244.88721875
transcript.pyannote[96].end 246.30471875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 247.16534375
transcript.pyannote[97].end 248.70096875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 248.85284375
transcript.pyannote[98].end 249.62909375
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 251.28284375
transcript.pyannote[99].end 251.83971875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 252.09284375
transcript.pyannote[100].end 253.15596875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 254.05034375
transcript.pyannote[101].end 256.71659375
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 257.62784375
transcript.pyannote[102].end 258.99471875
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 260.44596875
transcript.pyannote[103].end 263.31471875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 264.76596875
transcript.pyannote[104].end 267.53346875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 268.63034375
transcript.pyannote[105].end 272.15721875
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 273.42284375
transcript.pyannote[106].end 276.30846875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 277.42221875
transcript.pyannote[107].end 278.90721875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 280.98284375
transcript.pyannote[108].end 283.66596875
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 284.96534375
transcript.pyannote[109].end 285.75846875
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 286.31534375
transcript.pyannote[110].end 287.39534375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 288.52596875
transcript.pyannote[111].end 289.47096875
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 290.19659375
transcript.pyannote[112].end 290.61846875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 291.31034375
transcript.pyannote[113].end 292.33971875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 292.94721875
transcript.pyannote[114].end 294.48284375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 295.19159375
transcript.pyannote[115].end 295.61346875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 296.38971875
transcript.pyannote[116].end 297.43596875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 299.02221875
transcript.pyannote[117].end 299.61284375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 301.51971875
transcript.pyannote[118].end 304.23659375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 305.23221875
transcript.pyannote[119].end 305.97471875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 307.30784375
transcript.pyannote[120].end 309.02909375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 309.24846875
transcript.pyannote[121].end 309.70409375
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 310.85159375
transcript.pyannote[122].end 314.12534375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 314.27721875
transcript.pyannote[123].end 321.09471875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 321.68534375
transcript.pyannote[124].end 330.03846875
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 327.92909375
transcript.pyannote[125].end 328.21596875
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 330.03846875
transcript.pyannote[126].end 331.89471875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 334.15596875
transcript.pyannote[127].end 337.10909375
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 337.56471875
transcript.pyannote[128].end 342.35721875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 343.80846875
transcript.pyannote[129].end 344.61846875
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 345.25971875
transcript.pyannote[130].end 346.87971875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 348.22971875
transcript.pyannote[131].end 349.39409375
transcript.pyannote[132].speaker SPEAKER_00
transcript.pyannote[132].start 350.65971875
transcript.pyannote[132].end 351.33471875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 352.53284375
transcript.pyannote[133].end 354.25409375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 355.01346875
transcript.pyannote[134].end 356.80221875
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 358.79346875
transcript.pyannote[135].end 359.33346875
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 360.26159375
transcript.pyannote[136].end 361.89846875
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 362.79284375
transcript.pyannote[137].end 363.48471875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 365.45909375
transcript.pyannote[138].end 366.16784375
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 366.16784375
transcript.pyannote[139].end 366.18471875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 367.46721875
transcript.pyannote[140].end 367.48409375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 367.48409375
transcript.pyannote[141].end 368.88471875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 369.64409375
transcript.pyannote[142].end 380.05596875
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 378.41909375
transcript.pyannote[143].end 378.97596875
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 380.19096875
transcript.pyannote[144].end 380.46096875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 380.62971875
transcript.pyannote[145].end 380.71409375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 380.71409375
transcript.pyannote[146].end 382.85721875
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 384.73034375
transcript.pyannote[147].end 385.72596875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 386.21534375
transcript.pyannote[148].end 387.76784375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 388.62846875
transcript.pyannote[149].end 389.57346875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 390.92346875
transcript.pyannote[150].end 391.56471875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 391.86846875
transcript.pyannote[151].end 393.01596875
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 394.02846875
transcript.pyannote[152].end 399.79971875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 401.35221875
transcript.pyannote[153].end 403.93409375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 404.40659375
transcript.pyannote[154].end 406.17846875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 407.19096875
transcript.pyannote[155].end 409.46909375
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 410.41409375
transcript.pyannote[156].end 413.85659375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 414.19409375
transcript.pyannote[157].end 415.71284375
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 416.70846875
transcript.pyannote[158].end 419.10471875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 419.66159375
transcript.pyannote[159].end 420.42096875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 420.50534375
transcript.pyannote[160].end 421.38284375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 422.68221875
transcript.pyannote[161].end 428.57159375
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 428.18346875
transcript.pyannote[162].end 428.41971875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 429.29721875
transcript.pyannote[163].end 430.32659375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 430.56284375
transcript.pyannote[164].end 432.58784375
transcript.pyannote[165].speaker SPEAKER_01
transcript.pyannote[165].start 435.11909375
transcript.pyannote[165].end 445.37909375
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 444.06284375
transcript.pyannote[166].end 447.79221875
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 448.34909375
transcript.pyannote[167].end 449.41221875
transcript.pyannote[168].speaker SPEAKER_00
transcript.pyannote[168].start 449.59784375
transcript.pyannote[168].end 450.20534375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 451.20096875
transcript.pyannote[169].end 456.43221875
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 456.46596875
transcript.pyannote[170].end 457.34346875
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 458.01846875
transcript.pyannote[171].end 462.45659375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 462.74346875
transcript.pyannote[172].end 463.43534375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 463.92471875
transcript.pyannote[173].end 465.66284375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 465.66284375
transcript.pyannote[174].end 465.73034375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 466.30409375
transcript.pyannote[175].end 472.96971875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 472.96971875
transcript.pyannote[176].end 473.03721875
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 473.03721875
transcript.pyannote[177].end 473.72909375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 473.99909375
transcript.pyannote[178].end 474.03284375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 474.03284375
transcript.pyannote[179].end 475.23096875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 474.10034375
transcript.pyannote[180].end 474.43784375
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 475.23096875
transcript.pyannote[181].end 475.26471875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 475.60221875
transcript.pyannote[182].end 475.63596875
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 475.63596875
transcript.pyannote[183].end 476.58096875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 477.28971875
transcript.pyannote[184].end 480.05721875
transcript.pyannote[185].speaker SPEAKER_00
transcript.pyannote[185].start 480.68159375
transcript.pyannote[185].end 483.51659375
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 484.03971875
transcript.pyannote[186].end 484.64721875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 485.49096875
transcript.pyannote[187].end 486.97596875
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 486.97596875
transcript.pyannote[188].end 496.03784375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 487.48221875
transcript.pyannote[189].end 489.18659375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 489.84471875
transcript.pyannote[190].end 490.51971875
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 496.03784375
transcript.pyannote[191].end 496.24034375
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 497.03346875
transcript.pyannote[192].end 497.05034375
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 497.05034375
transcript.pyannote[193].end 500.72909375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 501.48846875
transcript.pyannote[194].end 505.33596875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 502.41659375
transcript.pyannote[195].end 502.46721875
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 505.55534375
transcript.pyannote[196].end 505.70721875
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 505.70721875
transcript.pyannote[197].end 505.92659375
transcript.pyannote[198].speaker SPEAKER_00
transcript.pyannote[198].start 505.92659375
transcript.pyannote[198].end 505.94346875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 506.24721875
transcript.pyannote[199].end 511.74846875
transcript.pyannote[200].speaker SPEAKER_00
transcript.pyannote[200].start 512.33909375
transcript.pyannote[200].end 514.73534375
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 516.00096875
transcript.pyannote[201].end 517.21596875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 517.80659375
transcript.pyannote[202].end 518.36346875
transcript.pyannote[203].speaker SPEAKER_00
transcript.pyannote[203].start 518.93721875
transcript.pyannote[203].end 521.16471875
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 522.37971875
transcript.pyannote[204].end 525.53534375
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 526.80096875
transcript.pyannote[205].end 527.86409375
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 530.19284375
transcript.pyannote[206].end 530.81721875
transcript.pyannote[207].speaker SPEAKER_00
transcript.pyannote[207].start 532.03221875
transcript.pyannote[207].end 532.79159375
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 533.21346875
transcript.pyannote[208].end 533.88846875
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 534.29346875
transcript.pyannote[209].end 536.47034375
transcript.pyannote[210].speaker SPEAKER_00
transcript.pyannote[210].start 537.09471875
transcript.pyannote[210].end 542.27534375
transcript.pyannote[211].speaker SPEAKER_00
transcript.pyannote[211].start 542.98409375
transcript.pyannote[211].end 545.43096875
transcript.pyannote[212].speaker SPEAKER_00
transcript.pyannote[212].start 546.71346875
transcript.pyannote[212].end 553.02471875
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 553.73346875
transcript.pyannote[213].end 554.15534375
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 555.25221875
transcript.pyannote[214].end 561.49596875
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 562.05284375
transcript.pyannote[215].end 563.72346875
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 564.41534375
transcript.pyannote[216].end 567.45284375
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 568.21221875
transcript.pyannote[217].end 570.65909375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 570.92909375
transcript.pyannote[218].end 571.67159375
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 571.92471875
transcript.pyannote[219].end 573.64596875
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 573.88221875
transcript.pyannote[220].end 575.67096875
transcript.pyannote[221].speaker SPEAKER_00
transcript.pyannote[221].start 576.32909375
transcript.pyannote[221].end 579.18096875
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 579.51846875
transcript.pyannote[222].end 580.05846875
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 581.17221875
transcript.pyannote[223].end 584.07471875
transcript.pyannote[224].speaker SPEAKER_00
transcript.pyannote[224].start 584.95221875
transcript.pyannote[224].end 586.23471875
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 587.53409375
transcript.pyannote[225].end 588.19221875
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 588.83346875
transcript.pyannote[226].end 591.93846875
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 592.76534375
transcript.pyannote[227].end 593.79471875
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 594.03096875
transcript.pyannote[228].end 594.68909375
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 595.29659375
transcript.pyannote[229].end 596.98409375
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 597.47346875
transcript.pyannote[230].end 601.25346875
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 601.97909375
transcript.pyannote[231].end 604.00409375
transcript.pyannote[232].speaker SPEAKER_00
transcript.pyannote[232].start 604.64534375
transcript.pyannote[232].end 605.33721875
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 605.91096875
transcript.pyannote[233].end 610.31534375
transcript.pyannote[234].speaker SPEAKER_00
transcript.pyannote[234].start 611.26034375
transcript.pyannote[234].end 616.60971875
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 617.77409375
transcript.pyannote[235].end 618.36471875
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 619.41096875
transcript.pyannote[236].end 624.52409375
transcript.pyannote[237].speaker SPEAKER_00
transcript.pyannote[237].start 624.91221875
transcript.pyannote[237].end 627.74721875
transcript.pyannote[238].speaker SPEAKER_00
transcript.pyannote[238].start 628.65846875
transcript.pyannote[238].end 631.13909375
transcript.pyannote[239].speaker SPEAKER_00
transcript.pyannote[239].start 631.29096875
transcript.pyannote[239].end 634.32846875
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 635.35784375
transcript.pyannote[240].end 639.17159375
transcript.pyannote[241].speaker SPEAKER_00
transcript.pyannote[241].start 639.79596875
transcript.pyannote[241].end 641.36534375
transcript.pyannote[242].speaker SPEAKER_00
transcript.pyannote[242].start 642.25971875
transcript.pyannote[242].end 644.80784375
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 645.22971875
transcript.pyannote[243].end 648.84096875
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 649.95471875
transcript.pyannote[244].end 657.10971875
transcript.pyannote[245].speaker SPEAKER_00
transcript.pyannote[245].start 657.29534375
transcript.pyannote[245].end 658.91534375
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 660.34971875
transcript.pyannote[246].end 661.00784375
transcript.pyannote[247].speaker SPEAKER_00
transcript.pyannote[247].start 661.96971875
transcript.pyannote[247].end 662.79659375
transcript.whisperx[0].start 4.469
transcript.whisperx[0].end 20.86
transcript.whisperx[0].text 有請部長部長我念一段話你來告訴我是誰講的我不知道哥哥究竟承受了多少痛苦
transcript.whisperx[1].start 21.567
transcript.whisperx[1].end 48.988
transcript.whisperx[1].text 多少絕望才會走上這一條路有時候真的讓人忍不住思考現今的制度是否真的有能力保護那些長年默默為社會奉獻的人一句輕易的指責一場隨意的檢舉外人看來只是程序但對某些人來說卻可能是一點一滴壓垮生命的重量
transcript.whisperx[2].start 50.265
transcript.whisperx[2].end 79.876
transcript.whisperx[2].text 部長你知道這是誰說的嗎請問知道上個月25號高雄市一名資深的國小嚴姓教師墜樓身亡他的妹妹沉痛的發文痛訴他哥哥所面臨到惡劣的教育現場然後呢一點一滴的壓垮了他的生命
transcript.whisperx[3].start 81.958
transcript.whisperx[3].end 107.473
transcript.whisperx[3].text 這就是今天在最前面為我們奉獻的老師們他們的處遇還有他們家人的心聲我不知道部長你看到這一段的心聲我不知道部長做何感想自評論我是非常難過的是啊
transcript.whisperx[4].start 110.051
transcript.whisperx[4].end 125.073
transcript.whisperx[4].text 人心是有所的誰看到這一段痛苦的心聲都會覺得難過那我就要想請教部長這是個案嗎我們不希望
transcript.whisperx[5].start 126.843
transcript.whisperx[5].end 148.133
transcript.whisperx[5].text 我們當然某種程度希望他只是個案但是我們更希望從體制去減少老師的壓力包含一些無謂的干擾能夠讓校園能夠讓老師回到他真正的專業秉持他的一個教育的愛讓一年內就有三起基層教師墜樓輕生
transcript.whisperx[6].start 152.059
transcript.whisperx[6].end 169.69
transcript.whisperx[6].text 那我再跟你講一個更恐怖的統計數字我要告訴部長教育現場到底有多惡劣你知道2021年教職員工自殺死亡人數是多少你知道嗎請問委員知道8個人2023年10個人2023年你知道到多少人嗎到19個人
transcript.whisperx[7].start 181.552
transcript.whisperx[7].end 209.834
transcript.whisperx[7].text 從2021年的8人到2023年的19人你暴增一倍不止那我再問你另外的數字不知道你有沒有看到台師大學生會以及師資生聯會上個月有公布一個調查數字他針對師資培育生你知道有多少師資培育生認為教師現在是不受社會尊重的七成
transcript.whisperx[8].start 213.088
transcript.whisperx[8].end 235.453
transcript.whisperx[8].text 70.6%那有多少失之培育生他認為他們會擔心將來如果執教會遭到投訴或面臨調查八成34.9%的失之培育生明確表達不會投入教職我用這個做開場我想部長就能夠理解為什麼南韓的一齣戲劇
transcript.whisperx[9].start 239.215
transcript.whisperx[9].end 266.868
transcript.whisperx[9].text 在台灣會引起這麼大的迴響因為部長我不知道你看過沒有啊我看了第一集我看我是不是看完了我看前五集的時候我心裡想的是這哪是南韓啊他點出的教育現場問題不是南韓的教育現場問題啊他點出的教育現場問題是台灣的教育現場問題啊
transcript.whisperx[10].start 268.72
transcript.whisperx[10].end 291.831
transcript.whisperx[10].text 所以為什麼這幾週大家持續關注教育現場我剛剛從這個數字不小心就看到有多嚴重了多嚴重 已經不是個案了當我們教育現場系統性崩壞到這種程度老師今天要面臨霸凌的恐懼面臨檢舉的爛數面臨所謂的特權的介入各種的壓力
transcript.whisperx[11].start 299.073
transcript.whisperx[11].end 309.38
transcript.whisperx[11].text 的時候當他對教育現場產生恐懼的時候我說過受害的不只是老師吧部長
transcript.whisperx[12].start 310.959
transcript.whisperx[12].end 331.285
transcript.whisperx[12].text 是 當然我也跟委員補充說明南韓的這一部片子當時事實上南韓的教師團體也認為它並非南韓的一個教育現場他們也希望不要拍這樣一個影片某種程度它當然有一種提醒部長 我跟你講你講的我也都看過
transcript.whisperx[13].start 334.429
transcript.whisperx[13].end 361.53
transcript.whisperx[13].text 處理方式那戲劇化的手法當然不可能啦不可能是這戲劇化手法但是它引起迴響不是因為那戲劇化的手法我就講嘛今天我那天質詢次長我就講一個老師只因為在聯絡簿上寫了一句是不是數學要多練習結果就被家長瘋狂投訴瘋狂投訴
transcript.whisperx[14].start 365.506
transcript.whisperx[14].end 392.533
transcript.whisperx[14].text 然後抱歉啊這劇情一模一樣啊跟委員報告就這一個委員所舉的例子我覺得那是學校裡面應該要挺身而出支持老師因為老師我告訴你啊誰不想挺身而出支持老師啊我直接問啦很多老師也都反映啊你現在老師的所謂的社會的尊嚴
transcript.whisperx[15].start 394.079
transcript.whisperx[15].end 420.93
transcript.whisperx[15].text 在我們今天很多一些錯誤的結構跟制度體系之下你不要講是老師 學校當你的制度本身設計出了問題的時候你就造成今天教育現場上老師面臨各式各樣的恐懼啊就像說我看到部長說你們有做一個改革匿名檢舉不會見到不會接校事會議嘛 對不對然後呢 所以說
transcript.whisperx[16].start 422.725
transcript.whisperx[16].end 449.918
transcript.whisperx[16].text 你們說有82%的檢舉案件進入校事會修正後降到22%嘛對不對是可是我要問啊請問匿名檢舉現在真的不受理嗎我們的新的辦法也感謝委員支持我目前是這樣一個執行但是地方會不會因為有特殊的一些案例這也是我們希望其實部長你剛剛回答就有保留了我當然支持今天
transcript.whisperx[17].start 452.281
transcript.whisperx[17].end 465.396
transcript.whisperx[17].text 你要相關的檢舉你起碼也應該要負原則嘛是對心智不受理那教育部我知道你也拿出來做一個改革主要回應可是啊還是會進到考核會啊不是嗎
transcript.whisperx[18].start 466.357
transcript.whisperx[18].end 483.205
transcript.whisperx[18].text 考核會是來自因為老師他確實行為有疏失但是有一些考核會他就是可能只是口頭的一個提醒我要講的是什麼我要講的是今天你光匿名檢舉這件事情你現在制度體系之下它還是存在
transcript.whisperx[19].start 484.105
transcript.whisperx[19].end 500.28
transcript.whisperx[19].text 沒錯吧案例我不敢保證但是基本上我們制度的精神也感謝委員之前的支持那就是我們共同希望他往好的方向來走部長謝謝你啊我希望你從不敢保證在制度上讓他你敢保證
transcript.whisperx[20].start 501.53
transcript.whisperx[20].end 530.55
transcript.whisperx[20].text 不是嗎你都認為這是一個對的方向我也支持啊是可是你不敢保證是因為結構制度上你還有沒做好沒有做足的地方啦那我們就來想辦法讓這制度做足嘛事實上我們可以看到今天我們今天為什麼再生的提醒步驟就是因為真的我覺得我們教育環境真的是已經受夠了已經受夠了民怨
transcript.whisperx[21].start 532.116
transcript.whisperx[21].end 552.538
transcript.whisperx[21].text 老師的處境大家都知道受害不只是老師啦當老師都害怕的時候受害就是學生的受教權受害就是國家的未來而部長你就是老師最重要的後盾再來我想要講一下我們今天審查這個幼兒教育跟照顧法的第七條那
transcript.whisperx[22].start 555.302
transcript.whisperx[22].end 583.977
transcript.whisperx[22].text 我相信部長應該也知道現在家長要找幼兒園其實都充滿焦慮因為它不只是教育的過程它是很多的焦慮跟壓力的集結收集資料參觀學校申請放榜然後補有沒有抽中要不要備案下一步怎麼辦這些都是我們今天家有幼兒家長的日常沒錯吧所以我知道部長你們有講一些理由
transcript.whisperx[23].start 585.157
transcript.whisperx[23].end 610.106
transcript.whisperx[23].text 財政負擔是個理由可是呢今天只要是有少子化趨勢的國家都已經大多擴幅的來去改善今天幼兒教育減輕家長的壓力跟負擔台灣今天如果說生育率比10年前增加個一倍兩倍那我跟你講我覺得沒有這個案子
transcript.whisperx[24].start 611.368
transcript.whisperx[24].end 634.038
transcript.whisperx[24].text 是嗎?不是啊我們比起十年前我們出生的人數是腰斬部長總知道吧那為什麼?因為就是對於家長來說的話那個負擔已經沉重到他們沒有辦法挺住啊一部分原因啦還有很多社會原因啦可是對政府來說我們能做的就是分擔他的壓力嘛這也是為什麼賴清德總統今天
transcript.whisperx[25].start 635.404
transcript.whisperx[25].end 660.483
transcript.whisperx[25].text 他的所謂的要這個搶救少子化開出這麼多的支票開出這麼多的政策那其實就是因為已經見到我們今天十年出生人數腰斬的這種現象所以我認為今天對於說家有幼兒的家長我們今天這個修法的討論就是來當他們的後盾啦謝謝部長謝謝