iVOD / 159716

Field Value
IVOD_ID 159716
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/159716
日期 2025-03-27
會議資料.會議代碼 委員會-11-3-36-5
會議資料.會議代碼:str 第11屆第3會期司法及法制委員會第5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 5
會議資料.種類 委員會
會議資料.委員會代碼[0] 36
會議資料.委員會代碼:str[0] 司法及法制委員會
會議資料.標題 第11屆第3會期司法及法制委員會第5次全體委員會議
影片種類 Clip
開始時間 2025-03-27T11:41:53+08:00
結束時間 2025-03-27T11:49:58+08:00
影片長度 00:08:05
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/ae27c1b40c0db90019b4966c0b345514b4606480da88618db9e3eaef4bc790338d5162d7c243163e5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 鄭天財Sra Kacaw
委員發言時間 11:41:53 - 11:49:58
會議時間 2025-03-27T09:00:00+08:00
會議名稱 立法院第11屆第3會期司法及法制委員會第5次全體委員會議(事由:邀請考試院秘書長、考選部部長、銓敘部部長及公務人員保障暨培訓委員會主任委員列席報告業務概況及立法計畫,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 9.85221875
transcript.pyannote[0].end 10.61159375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 11.05034375
transcript.pyannote[1].end 13.58159375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 13.91909375
transcript.pyannote[2].end 14.72909375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 17.90159375
transcript.pyannote[3].end 18.69471875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 19.67346875
transcript.pyannote[4].end 23.55471875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 23.70659375
transcript.pyannote[5].end 25.98471875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 27.79034375
transcript.pyannote[6].end 30.79409375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 31.46909375
transcript.pyannote[7].end 33.59534375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 34.20284375
transcript.pyannote[8].end 35.72159375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 36.07596875
transcript.pyannote[9].end 38.05034375
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 39.07971875
transcript.pyannote[10].end 43.09596875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 43.68659375
transcript.pyannote[11].end 49.13721875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 49.89659375
transcript.pyannote[12].end 51.43221875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 52.00596875
transcript.pyannote[13].end 53.86221875
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 54.35159375
transcript.pyannote[14].end 57.03471875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 57.42284375
transcript.pyannote[15].end 59.73471875
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 59.83596875
transcript.pyannote[16].end 60.78096875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 63.71721875
transcript.pyannote[17].end 68.96534375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 69.47159375
transcript.pyannote[18].end 70.07909375
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 70.53471875
transcript.pyannote[19].end 73.45409375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 74.12909375
transcript.pyannote[20].end 76.72784375
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 77.43659375
transcript.pyannote[21].end 78.78659375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 79.51221875
transcript.pyannote[22].end 80.47409375
transcript.pyannote[23].speaker SPEAKER_01
transcript.pyannote[23].start 81.67221875
transcript.pyannote[23].end 83.49471875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 84.55784375
transcript.pyannote[24].end 86.41409375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 86.63346875
transcript.pyannote[25].end 87.73034375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 88.25346875
transcript.pyannote[26].end 90.56534375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 92.75909375
transcript.pyannote[27].end 93.87284375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 94.34534375
transcript.pyannote[28].end 95.00346875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 95.76284375
transcript.pyannote[29].end 98.34471875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 99.42471875
transcript.pyannote[30].end 100.48784375
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 100.67346875
transcript.pyannote[31].end 101.01096875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 101.39909375
transcript.pyannote[32].end 102.19221875
transcript.pyannote[33].speaker SPEAKER_01
transcript.pyannote[33].start 102.88409375
transcript.pyannote[33].end 104.25096875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 104.33534375
transcript.pyannote[34].end 105.73596875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 106.12409375
transcript.pyannote[35].end 107.23784375
transcript.pyannote[36].speaker SPEAKER_01
transcript.pyannote[36].start 107.84534375
transcript.pyannote[36].end 108.04784375
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 108.23346875
transcript.pyannote[37].end 109.48221875
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 109.58346875
transcript.pyannote[38].end 110.79846875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 111.28784375
transcript.pyannote[39].end 111.89534375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 112.58721875
transcript.pyannote[40].end 113.73471875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 114.12284375
transcript.pyannote[41].end 118.03784375
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 120.80534375
transcript.pyannote[42].end 121.83471875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 123.08346875
transcript.pyannote[43].end 125.09159375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 125.78346875
transcript.pyannote[44].end 127.06596875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 127.74096875
transcript.pyannote[45].end 128.60159375
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 129.41159375
transcript.pyannote[46].end 130.99784375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 132.06096875
transcript.pyannote[47].end 132.51659375
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 132.80346875
transcript.pyannote[48].end 134.62596875
transcript.pyannote[49].speaker SPEAKER_01
transcript.pyannote[49].start 135.33471875
transcript.pyannote[49].end 137.25846875
transcript.pyannote[50].speaker SPEAKER_01
transcript.pyannote[50].start 137.73096875
transcript.pyannote[50].end 139.57034375
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 140.04284375
transcript.pyannote[51].end 140.83596875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 141.10596875
transcript.pyannote[52].end 142.25346875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 142.67534375
transcript.pyannote[53].end 143.62034375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 146.18534375
transcript.pyannote[54].end 148.10909375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 148.75034375
transcript.pyannote[55].end 152.46284375
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 153.32346875
transcript.pyannote[56].end 155.09534375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 155.61846875
transcript.pyannote[57].end 158.82471875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 159.36471875
transcript.pyannote[58].end 160.36034375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 161.13659375
transcript.pyannote[59].end 163.22909375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 163.85346875
transcript.pyannote[60].end 164.68034375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 165.25409375
transcript.pyannote[61].end 166.70534375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 168.71346875
transcript.pyannote[62].end 174.65346875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 175.32846875
transcript.pyannote[63].end 177.85971875
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 179.19284375
transcript.pyannote[64].end 184.71096875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 185.82471875
transcript.pyannote[65].end 186.48284375
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 187.41096875
transcript.pyannote[66].end 189.72284375
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 190.68471875
transcript.pyannote[67].end 193.16534375
transcript.pyannote[68].speaker SPEAKER_01
transcript.pyannote[68].start 194.81909375
transcript.pyannote[68].end 199.61159375
transcript.pyannote[69].speaker SPEAKER_01
transcript.pyannote[69].start 200.69159375
transcript.pyannote[69].end 202.69971875
transcript.pyannote[70].speaker SPEAKER_01
transcript.pyannote[70].start 203.22284375
transcript.pyannote[70].end 205.02846875
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 205.55159375
transcript.pyannote[71].end 208.70721875
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 209.53409375
transcript.pyannote[72].end 211.20471875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 211.44096875
transcript.pyannote[73].end 212.03159375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 213.11159375
transcript.pyannote[74].end 213.70221875
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 214.34346875
transcript.pyannote[75].end 215.00159375
transcript.pyannote[76].speaker SPEAKER_01
transcript.pyannote[76].start 215.32221875
transcript.pyannote[76].end 215.76096875
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 216.16596875
transcript.pyannote[77].end 217.12784375
transcript.pyannote[78].speaker SPEAKER_01
transcript.pyannote[78].start 218.74784375
transcript.pyannote[78].end 219.47346875
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 219.76034375
transcript.pyannote[79].end 224.53596875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 223.25346875
transcript.pyannote[80].end 223.96221875
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 224.53596875
transcript.pyannote[81].end 224.55284375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 224.90721875
transcript.pyannote[82].end 280.72971875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 280.99971875
transcript.pyannote[83].end 303.96659375
transcript.pyannote[84].speaker SPEAKER_01
transcript.pyannote[84].start 304.55721875
transcript.pyannote[84].end 309.77159375
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 310.44659375
transcript.pyannote[85].end 312.35346875
transcript.pyannote[86].speaker SPEAKER_01
transcript.pyannote[86].start 312.96096875
transcript.pyannote[86].end 313.39971875
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 314.32784375
transcript.pyannote[87].end 315.13784375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 315.32346875
transcript.pyannote[88].end 317.46659375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 318.51284375
transcript.pyannote[89].end 320.43659375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 321.16221875
transcript.pyannote[90].end 322.76534375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 323.06909375
transcript.pyannote[91].end 326.12346875
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 326.78159375
transcript.pyannote[92].end 329.93721875
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 330.78096875
transcript.pyannote[93].end 333.51471875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 334.18971875
transcript.pyannote[94].end 339.37034375
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 339.94409375
transcript.pyannote[95].end 348.21284375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 344.02784375
transcript.pyannote[96].end 346.01909375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 348.43221875
transcript.pyannote[97].end 349.57971875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 349.64721875
transcript.pyannote[98].end 354.15284375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 354.87846875
transcript.pyannote[99].end 355.89096875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 357.44346875
transcript.pyannote[100].end 358.84409375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 359.38409375
transcript.pyannote[101].end 362.23596875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 362.72534375
transcript.pyannote[102].end 363.50159375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 364.22721875
transcript.pyannote[103].end 365.13846875
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 365.74596875
transcript.pyannote[104].end 367.72034375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 368.42909375
transcript.pyannote[105].end 371.53409375
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 372.68159375
transcript.pyannote[106].end 373.12034375
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 374.03159375
transcript.pyannote[107].end 377.42346875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 378.26721875
transcript.pyannote[108].end 380.07284375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 381.10221875
transcript.pyannote[109].end 381.74346875
transcript.pyannote[110].speaker SPEAKER_01
transcript.pyannote[110].start 381.89534375
transcript.pyannote[110].end 382.90784375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 383.53221875
transcript.pyannote[111].end 384.13971875
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 385.40534375
transcript.pyannote[112].end 386.24909375
transcript.pyannote[113].speaker SPEAKER_01
transcript.pyannote[113].start 386.73846875
transcript.pyannote[113].end 387.54846875
transcript.pyannote[114].speaker SPEAKER_01
transcript.pyannote[114].start 388.56096875
transcript.pyannote[114].end 390.43409375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 390.68721875
transcript.pyannote[115].end 393.64034375
transcript.pyannote[116].speaker SPEAKER_01
transcript.pyannote[116].start 394.24784375
transcript.pyannote[116].end 394.93971875
transcript.pyannote[117].speaker SPEAKER_01
transcript.pyannote[117].start 395.58096875
transcript.pyannote[117].end 397.90971875
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 398.61846875
transcript.pyannote[118].end 399.54659375
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 400.30596875
transcript.pyannote[119].end 401.20034375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 402.09471875
transcript.pyannote[120].end 405.62159375
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 406.33034375
transcript.pyannote[121].end 407.29221875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 407.61284375
transcript.pyannote[122].end 409.06409375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 409.85721875
transcript.pyannote[123].end 410.80221875
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 410.90346875
transcript.pyannote[124].end 412.35471875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 413.04659375
transcript.pyannote[125].end 413.68784375
transcript.pyannote[126].speaker SPEAKER_01
transcript.pyannote[126].start 414.04221875
transcript.pyannote[126].end 415.40909375
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 415.96596875
transcript.pyannote[127].end 419.10471875
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 420.85971875
transcript.pyannote[128].end 423.57659375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 424.58909375
transcript.pyannote[129].end 426.79971875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 427.89659375
transcript.pyannote[130].end 431.23784375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 432.28409375
transcript.pyannote[131].end 435.79409375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 435.87846875
transcript.pyannote[132].end 437.36346875
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 438.40971875
transcript.pyannote[133].end 440.58659375
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 440.94096875
transcript.pyannote[134].end 441.64971875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 442.66221875
transcript.pyannote[135].end 443.26971875
transcript.pyannote[136].speaker SPEAKER_01
transcript.pyannote[136].start 444.41721875
transcript.pyannote[136].end 444.88971875
transcript.pyannote[137].speaker SPEAKER_01
transcript.pyannote[137].start 445.51409375
transcript.pyannote[137].end 447.65721875
transcript.pyannote[138].speaker SPEAKER_01
transcript.pyannote[138].start 448.46721875
transcript.pyannote[138].end 448.70346875
transcript.pyannote[139].speaker SPEAKER_01
transcript.pyannote[139].start 449.29409375
transcript.pyannote[139].end 449.81721875
transcript.pyannote[140].speaker SPEAKER_01
transcript.pyannote[140].start 450.34034375
transcript.pyannote[140].end 452.19659375
transcript.pyannote[141].speaker SPEAKER_01
transcript.pyannote[141].start 453.46221875
transcript.pyannote[141].end 455.11596875
transcript.pyannote[142].speaker SPEAKER_01
transcript.pyannote[142].start 455.28471875
transcript.pyannote[142].end 456.53346875
transcript.pyannote[143].speaker SPEAKER_01
transcript.pyannote[143].start 457.44471875
transcript.pyannote[143].end 459.75659375
transcript.pyannote[144].speaker SPEAKER_01
transcript.pyannote[144].start 460.44846875
transcript.pyannote[144].end 461.35971875
transcript.pyannote[145].speaker SPEAKER_01
transcript.pyannote[145].start 462.00096875
transcript.pyannote[145].end 463.06409375
transcript.pyannote[146].speaker SPEAKER_01
transcript.pyannote[146].start 463.94159375
transcript.pyannote[146].end 469.07159375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 469.64534375
transcript.pyannote[147].end 473.88096875
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 474.23534375
transcript.pyannote[148].end 478.18409375
transcript.pyannote[149].speaker SPEAKER_01
transcript.pyannote[149].start 478.42034375
transcript.pyannote[149].end 479.11221875
transcript.pyannote[150].speaker SPEAKER_01
transcript.pyannote[150].start 481.74471875
transcript.pyannote[150].end 484.96784375
transcript.whisperx[0].start 10.095
transcript.whisperx[0].end 37.848
transcript.whisperx[0].text 主席有請考選部部長麻煩部長委員長部長好還有我們秘書長還有所有的考試院的官員我們看這個原住民行政特考這個人數逐年的減少而且這個減少的幅度相當的大
transcript.whisperx[1].start 39.304
transcript.whisperx[1].end 59.443
transcript.whisperx[1].text 這個原住民行政特考從國民政府時代就開始一直是我們原住民就業的一個很重要的一個機會之一當然對原鄉對地方政府來說也是一個非常重要的一個相關的服務的一個場域
transcript.whisperx[2].start 63.929
transcript.whisperx[2].end 86.888
transcript.whisperx[2].text 我們看110年公務人員特種考是延民特考這個入企不足額57名那其中最多的土木工程以三等的話15個名額然後這個四等土木工程也是不足額14個名額這個人數相當的多
transcript.whisperx[3].start 93.574
transcript.whisperx[3].end 120.896
transcript.whisperx[3].text 111年也是一樣這個整個不足而入企55名那土木工程17名當然還有其他的這個列科三等這土木工程是不足而17名四等土木工程不足而16名當然還有其他的相關的列科112年
transcript.whisperx[4].start 123.157
transcript.whisperx[4].end 152.199
transcript.whisperx[4].text 又更增加入企不足77名其中四等的這個土木工程11名當然這個前面的相關三等的也是一樣土木工程21名21名113年去年這個入企不足79名又更增加
transcript.whisperx[5].start 153.679
transcript.whisperx[5].end 177.461
transcript.whisperx[5].text 這個相關的這些無論是財稅行政經濟行政農業行政農業技術而最多的還是土木工程27米這是三等的部分四等的部分這個土木工程14米不足所以在這樣的一個情況之下
transcript.whisperx[6].start 179.226
transcript.whisperx[6].end 208.521
transcript.whisperx[6].text 我們看這個從110年111、112、113不足額57、55、77、79當然今年還會繼續來辦理因應這樣的部分我們先談這個你的業務報告裡面有提到考檢部的報告裡面特別提到因應土木工程列科看起來不是只有原住民的課特考
transcript.whisperx[7].start 209.588
transcript.whisperx[7].end 216.918
transcript.whisperx[7].text 看起來是其他的考試高普考或是這個其他的特考
transcript.whisperx[8].start 219.023
transcript.whisperx[8].end 237.558
transcript.whisperx[8].text 這個部長,這樣的因應能夠解決嗎?是,跟委員報告,我們非常重視這個原民特考目前特別是在幾個類科,嚴重的那個不足耳的問題其實下個月,我們就會有副院長跟我們那個E1委員會帶領我們去跟
transcript.whisperx[9].start 240.88
transcript.whisperx[9].end 256.082
transcript.whisperx[9].text 原民會特別來討論商討這個議題那跟委員報告目前我們大概盤點出來有幾個問題或說有幾個議題要處理第一件事情是其實我們大概在剛剛那個他曾經有一個原因讓
transcript.whisperx[10].start 257.281
transcript.whisperx[10].end 280.134
transcript.whisperx[10].text 我們整個的報考人數大概減少了直接減少了一半我們原來的報考人數大概2000多那那個原因是因為足以認證那我覺得足以認證是非常重要的改革但是可能要增加足以認證的考試的頻率還有可以增加那部分的訓練的那個強度讓更多的人可以來報考這是我覺得可能第一個要處理
transcript.whisperx[11].start 281.135
transcript.whisperx[11].end 302.647
transcript.whisperx[11].text 那第二個是我們類科是有集中在財經還有土木還有農業這部分可能非常需要特別是東部的大學能不能在這邊能夠多一些可以來培育人才的學程或者甚至是系所出現目前看起來有這幾個地方可能要來強化看能不能解決這些議題
transcript.whisperx[12].start 305.385
transcript.whisperx[12].end 327.635
transcript.whisperx[12].text 第一個先談因為你主動提到主語認證事實上主語認證的部分這個考選部一開始提的一開始你們提的規劃這個四等五等四等三等全部都要終極經過協調之後你們同意先從初級
transcript.whisperx[13].start 331.371
transcript.whisperx[13].end 355.567
transcript.whisperx[13].text 那現在改為中級這個部分當然你們可以提供數字是因為這個嗎 因為你提到了所以我不認為啦 但是你既然提到了你是不是提供一個數據給我們是 我們可以提供數字是因為他沒有這個部分 所以他就沒有辦法去報考這個是提供一個數字 請提供第二個很重要的
transcript.whisperx[14].start 357.469
transcript.whisperx[14].end 382.459
transcript.whisperx[14].text 我們就先講土木土木工程看起來不是只有原住民特考而原住民非常需要因為原鄉的部分更需要包括公路總局他們在原鄉的部分更需要第一個這涉及到整個考試院的政策對於土木工程的待遇是不是需要去檢討為什麼呢
transcript.whisperx[15].start 385.464
transcript.whisperx[15].end 411.852
transcript.whisperx[15].text 因為現在缺工一般事業民間的也都缺在這樣的情況之下他們的待遇就會增加當然他就不會去選擇公務機關你們也可以去調查公務機關一般的公務機關他考上了進去沒多久他就離開了
transcript.whisperx[16].start 413.306
transcript.whisperx[16].end 441.463
transcript.whisperx[16].text 這個就是可能跟待遇有關係我的了解是這樣這是第一個第二個原住民的部分我們就從原住民的部分怎麼樣去協調相關的部會譬如說這個相關的部會怎麼樣去辦這個我們還是有我們的鄉親還是願意去考啊但是就考不上啊對不對不足的路程是考不上有報名
transcript.whisperx[17].start 442.674
transcript.whisperx[17].end 461.148
transcript.whisperx[17].text 考不上第一個是不是怎樣協助他考得上第二個就是是不是考得太難也要跟典事委員去評估 去了解還是未來透過訓練先讓他進去加強訓練這都是一個解決的途徑好不好 這個議題是蠻大的議題 好不好
transcript.whisperx[18].start 469.873
transcript.whisperx[18].end 484.506
transcript.whisperx[18].text 我們會來主要是我們現在有一個教考訓練平台的確跟人總然後跟行政院那邊可能剛剛委員講的問題都會列入來討論好謝謝好謝謝那我們下一位請鄭正前