iVOD / 164551

Field Value
IVOD_ID 164551
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/164551
日期 2025-10-22
會議資料.會議代碼 委員會-11-4-15-7
會議資料.會議代碼:str 第11屆第4會期內政委員會第7次全體委員會議
會議資料.屆 11
會議資料.會期 4
會議資料.會次 7
會議資料.種類 委員會
會議資料.委員會代碼[0] 15
會議資料.委員會代碼:str[0] 內政委員會
會議資料.標題 第11屆第4會期內政委員會第7次全體委員會議
影片種類 Clip
開始時間 2025-10-22T10:37:54+08:00
結束時間 2025-10-22T10:45:21+08:00
影片長度 00:07:27
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/615807a88c5be4da69b5d0ff1820b3c301812ea37d1526ba83c966d97180d5d2a29ab434738161915ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 徐欣瑩
委員發言時間 10:37:54 - 10:45:21
會議時間 2025-10-22T09:00:00+08:00
會議名稱 立法院第11屆第4會期內政委員會第7次全體委員會議(事由:一、邀請內政部就「替代役訓練及備役召集運用」進行專題報告,並備質詢。 二、審查「替代役實施條例」:(一)委員王美惠等18人擬具「替代役實施條例第五十九條條文修正草案」案。(二)委員羅美玲等18人擬具「替代役實施條例增訂第五十五條之五條文草案」案。(三)台灣民眾黨黨團擬具「替代役實施條例第五十五條之一條文修正草案」案。 【10月22日及23日兩天一次會】)
transcript.pyannote[0].speaker SPEAKER_02
transcript.pyannote[0].start 0.03096875
transcript.pyannote[0].end 0.06471875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 0.21659375
transcript.pyannote[1].end 1.70159375
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 1.92096875
transcript.pyannote[2].end 5.07659375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 4.09784375
transcript.pyannote[3].end 4.87409375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 5.32971875
transcript.pyannote[4].end 9.14346875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 9.51471875
transcript.pyannote[5].end 21.93471875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 22.13721875
transcript.pyannote[6].end 35.75534375
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 35.90721875
transcript.pyannote[7].end 39.85596875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 40.17659375
transcript.pyannote[8].end 42.52221875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 42.99471875
transcript.pyannote[9].end 50.68971875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 51.14534375
transcript.pyannote[10].end 54.94221875
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 55.29659375
transcript.pyannote[11].end 56.30909375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 56.98409375
transcript.pyannote[12].end 59.86971875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 59.86971875
transcript.pyannote[13].end 62.58659375
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 62.04659375
transcript.pyannote[14].end 66.21471875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 66.46784375
transcript.pyannote[15].end 71.36159375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 71.53034375
transcript.pyannote[16].end 73.48784375
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 73.25159375
transcript.pyannote[17].end 74.60159375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 74.60159375
transcript.pyannote[18].end 74.77034375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 74.77034375
transcript.pyannote[19].end 74.78721875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 75.34409375
transcript.pyannote[20].end 80.50784375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 80.77784375
transcript.pyannote[21].end 83.03909375
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 82.58346875
transcript.pyannote[22].end 82.88721875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 83.03909375
transcript.pyannote[23].end 83.49471875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 83.69721875
transcript.pyannote[24].end 85.38471875
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 83.76471875
transcript.pyannote[25].end 87.39284375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 87.71346875
transcript.pyannote[26].end 89.56971875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 89.02971875
transcript.pyannote[27].end 92.89409375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 93.41721875
transcript.pyannote[28].end 96.50534375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 96.55596875
transcript.pyannote[29].end 99.50909375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 99.66096875
transcript.pyannote[30].end 99.69471875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 99.69471875
transcript.pyannote[31].end 100.90971875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 101.12909375
transcript.pyannote[32].end 101.82096875
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 101.87159375
transcript.pyannote[33].end 101.97284375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 101.97284375
transcript.pyannote[34].end 111.86159375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 104.84159375
transcript.pyannote[35].end 105.53346875
transcript.pyannote[36].speaker SPEAKER_02
transcript.pyannote[36].start 109.26284375
transcript.pyannote[36].end 112.46909375
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 112.72221875
transcript.pyannote[37].end 112.73909375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 112.73909375
transcript.pyannote[38].end 116.16471875
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 112.77284375
transcript.pyannote[39].end 113.12721875
transcript.pyannote[40].speaker SPEAKER_02
transcript.pyannote[40].start 116.16471875
transcript.pyannote[40].end 122.37471875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 122.37471875
transcript.pyannote[41].end 122.50971875
transcript.pyannote[42].speaker SPEAKER_02
transcript.pyannote[42].start 122.50971875
transcript.pyannote[42].end 122.54346875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 122.54346875
transcript.pyannote[43].end 122.74596875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 122.56034375
transcript.pyannote[44].end 128.98971875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 124.45034375
transcript.pyannote[45].end 125.71596875
transcript.pyannote[46].speaker SPEAKER_01
transcript.pyannote[46].start 126.74534375
transcript.pyannote[46].end 126.76221875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 126.76221875
transcript.pyannote[47].end 129.07409375
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 129.07409375
transcript.pyannote[48].end 129.54659375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 129.81659375
transcript.pyannote[49].end 129.98534375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 130.20471875
transcript.pyannote[50].end 132.55034375
transcript.pyannote[51].speaker SPEAKER_02
transcript.pyannote[51].start 132.98909375
transcript.pyannote[51].end 135.18284375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 135.92534375
transcript.pyannote[52].end 144.00846875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 144.26159375
transcript.pyannote[53].end 150.40409375
transcript.pyannote[54].speaker SPEAKER_02
transcript.pyannote[54].start 149.25659375
transcript.pyannote[54].end 151.87221875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 151.87221875
transcript.pyannote[55].end 154.36971875
transcript.pyannote[56].speaker SPEAKER_02
transcript.pyannote[56].start 152.05784375
transcript.pyannote[56].end 152.44596875
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 153.67784375
transcript.pyannote[57].end 156.00659375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 155.46659375
transcript.pyannote[58].end 173.80971875
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 168.69659375
transcript.pyannote[59].end 170.77221875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 173.80971875
transcript.pyannote[60].end 186.01034375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 186.43221875
transcript.pyannote[61].end 186.75284375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 187.93409375
transcript.pyannote[62].end 198.48096875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 195.19034375
transcript.pyannote[63].end 195.66284375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 195.66284375
transcript.pyannote[64].end 195.76409375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 198.70034375
transcript.pyannote[65].end 205.73721875
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 204.52221875
transcript.pyannote[66].end 206.49659375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 206.61471875
transcript.pyannote[67].end 208.79159375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 207.57659375
transcript.pyannote[68].end 217.33034375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 217.26284375
transcript.pyannote[69].end 227.72534375
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 219.22034375
transcript.pyannote[70].end 219.91221875
transcript.pyannote[71].speaker SPEAKER_02
transcript.pyannote[71].start 220.65471875
transcript.pyannote[71].end 221.09346875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 222.32534375
transcript.pyannote[72].end 222.35909375
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 226.15596875
transcript.pyannote[73].end 226.17284375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 226.17284375
transcript.pyannote[74].end 226.44284375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 226.44284375
transcript.pyannote[75].end 226.57784375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 227.94471875
transcript.pyannote[76].end 231.92721875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 232.34909375
transcript.pyannote[77].end 241.76534375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 241.84971875
transcript.pyannote[78].end 243.38534375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 243.79034375
transcript.pyannote[79].end 244.97159375
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 244.97159375
transcript.pyannote[80].end 245.03909375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 245.03909375
transcript.pyannote[81].end 249.74721875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 249.91596875
transcript.pyannote[82].end 254.89409375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 254.89409375
transcript.pyannote[83].end 254.91096875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 255.51846875
transcript.pyannote[84].end 264.74909375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 256.29471875
transcript.pyannote[85].end 256.46346875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 256.75034375
transcript.pyannote[86].end 257.00346875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 257.44221875
transcript.pyannote[87].end 258.01596875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 258.42096875
transcript.pyannote[88].end 258.50534375
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 265.05284375
transcript.pyannote[89].end 267.71909375
transcript.pyannote[90].speaker SPEAKER_02
transcript.pyannote[90].start 268.37721875
transcript.pyannote[90].end 283.68284375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 284.30721875
transcript.pyannote[91].end 285.75846875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 285.82596875
transcript.pyannote[92].end 285.84284375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 285.87659375
transcript.pyannote[93].end 288.89721875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 289.58909375
transcript.pyannote[94].end 296.38971875
transcript.pyannote[95].speaker SPEAKER_02
transcript.pyannote[95].start 290.07846875
transcript.pyannote[95].end 293.04846875
transcript.pyannote[96].speaker SPEAKER_02
transcript.pyannote[96].start 296.47409375
transcript.pyannote[96].end 309.14721875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 298.80284375
transcript.pyannote[97].end 299.32596875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 309.31596875
transcript.pyannote[98].end 310.73346875
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 310.83471875
transcript.pyannote[99].end 323.03534375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 323.03534375
transcript.pyannote[100].end 323.96346875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 323.96346875
transcript.pyannote[101].end 324.67221875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 324.67221875
transcript.pyannote[102].end 324.94221875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 324.94221875
transcript.pyannote[103].end 335.75909375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 326.74784375
transcript.pyannote[104].end 326.84909375
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 326.93346875
transcript.pyannote[105].end 327.59159375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 336.13034375
transcript.pyannote[106].end 336.78846875
transcript.pyannote[107].speaker SPEAKER_02
transcript.pyannote[107].start 337.36221875
transcript.pyannote[107].end 341.14221875
transcript.pyannote[108].speaker SPEAKER_00
transcript.pyannote[108].start 341.47971875
transcript.pyannote[108].end 342.30659375
transcript.pyannote[109].speaker SPEAKER_00
transcript.pyannote[109].start 342.44159375
transcript.pyannote[109].end 343.20096875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 342.49221875
transcript.pyannote[110].end 347.23409375
transcript.pyannote[111].speaker SPEAKER_00
transcript.pyannote[111].start 347.95971875
transcript.pyannote[111].end 348.24659375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 348.51659375
transcript.pyannote[112].end 351.50346875
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 351.84096875
transcript.pyannote[113].end 352.31346875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 352.68471875
transcript.pyannote[114].end 360.02534375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 360.44721875
transcript.pyannote[115].end 360.68346875
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 360.86909375
transcript.pyannote[116].end 362.80971875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 362.97846875
transcript.pyannote[117].end 368.29409375
transcript.pyannote[118].speaker SPEAKER_01
transcript.pyannote[118].start 364.19346875
transcript.pyannote[118].end 364.63221875
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 368.71596875
transcript.pyannote[119].end 378.84096875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 379.29659375
transcript.pyannote[120].end 390.80534375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 385.60784375
transcript.pyannote[121].end 386.24909375
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 388.24034375
transcript.pyannote[122].end 393.01596875
transcript.pyannote[123].speaker SPEAKER_00
transcript.pyannote[123].start 391.10909375
transcript.pyannote[123].end 391.56471875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 392.25659375
transcript.pyannote[124].end 397.18409375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 394.19721875
transcript.pyannote[125].end 395.59784375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 397.58909375
transcript.pyannote[126].end 397.94346875
transcript.pyannote[127].speaker SPEAKER_02
transcript.pyannote[127].start 398.14596875
transcript.pyannote[127].end 402.56721875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 402.11159375
transcript.pyannote[128].end 409.24971875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 409.57034375
transcript.pyannote[129].end 412.79346875
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 411.34221875
transcript.pyannote[130].end 420.04971875
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 416.18534375
transcript.pyannote[131].end 417.04596875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 420.38721875
transcript.pyannote[132].end 424.09971875
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 423.71159375
transcript.pyannote[133].end 431.11971875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 425.87159375
transcript.pyannote[134].end 427.28909375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 431.76096875
transcript.pyannote[135].end 431.79471875
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 431.79471875
transcript.pyannote[136].end 434.91659375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 431.81159375
transcript.pyannote[137].end 431.82846875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 431.84534375
transcript.pyannote[138].end 434.56221875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 435.05159375
transcript.pyannote[139].end 435.69284375
transcript.pyannote[140].speaker SPEAKER_02
transcript.pyannote[140].start 435.69284375
transcript.pyannote[140].end 440.23221875
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 439.65846875
transcript.pyannote[141].end 446.05409375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 446.50971875
transcript.pyannote[142].end 447.97784375
transcript.whisperx[0].start 0.309
transcript.whisperx[0].end 2.752
transcript.whisperx[0].text 感謝主席,我們請部長,請劉部長
transcript.whisperx[1].start 7.216
transcript.whisperx[1].end 35.109
transcript.whisperx[1].text 今天談這個替代藝男我想您一定認同我們替代藝是國家的重要人力資源是 他也是兵役自助的一環對 兵役自助那每一位藝男的專長與時間我們是不是都該妥善的來運用分成現役替代役跟備役替代役那我們現在在現役替代役上面有關專長的這個分布的部分會有比較好的規劃那備役的時候因為太多我們慢慢會把它補足
transcript.whisperx[2].start 35.489
transcript.whisperx[2].end 54.136
transcript.whisperx[2].text 好 那除了專長以外呢我想請教我們現在內政部手上有沒有一份清楚明確的替代役人力地圖所謂人力地圖就是在我們全國各縣市不管直轄市或是我們縣轄市這個縣市
transcript.whisperx[3].start 57.037
transcript.whisperx[3].end 74.605
transcript.whisperx[3].text 他的分部你们有吗有 有没有这一份我请市长跟您回应一下好 报告委员我们这个部分我们有建置这个替代在全国各地的这个人眼的配置跟地点我们这个是在结合我们内政部的提供的这个地图我们有来做这样的一个配置你们有完全掌握了有
transcript.whisperx[4].start 75.385
transcript.whisperx[4].end 99.154
transcript.whisperx[4].text 好那但是因為現在會讓我們感覺你們那現在有數據嗎現在沒有沒有準備嗎你們今天來有沒有那個數據我們目前總數你們是總數我現在說那我請教我新竹縣有多少新竹縣那個我們查一下所以你們都每年每年都有掌握就對了
transcript.whisperx[5].start 99.907
transcript.whisperx[5].end 115.906
transcript.whisperx[5].text 他就跟兵役制度他就跟兵役制度一樣啊你現在在服兵役或者你是後備我是指替代役是 我的替代役也是兵役制度的一環所以我們應該掌握他在哪個地方不是分配 就是有多少人數我們大概會知道
transcript.whisperx[6].start 116.226
transcript.whisperx[6].end 131.456
transcript.whisperx[6].text 然後他我指的是他你有多少這個藝男人數但是我現在是說替代藝他有些會配到哪裡配到哪裡你們也有這個資料有這個資料有的話那你有沒有發現眾都會親偏鄉
transcript.whisperx[7].start 135.97
transcript.whisperx[7].end 159.959
transcript.whisperx[7].text 我們替代役現役的部分有兩個區塊一個區塊就是用申請的那申請的就是依然你要哪裡來申請我們沒辦法掌握所以申請的時候他可以決定地點給他選擇嗎你們沒有掌握分配嗎我們基本上替代役的分發我們是以戶籍地為原則
transcript.whisperx[8].start 161.099
transcript.whisperx[8].end 186.538
transcript.whisperx[8].text 就尽量让他回到家乡里面去以后被疫他在被疫的训练或者以后被疫的救灾他能够来熟悉所以尽量在家乡我们尽量都是让他到回复脊地去服务因为我们地方上我们有感觉好像一些偏乡地区的长照或者是弱势孩童的照护都没有足够的替代仪是
transcript.whisperx[9].start 187.967
transcript.whisperx[9].end 206.421
transcript.whisperx[9].text 怎么样这个部分因为卫福部他们也有提出这个替代艺人力的需求那替代艺人力的需求基本上是卫福部就他所分配的源额他再去进一步分化到各县市那这个部分我们就尊重卫福部对对但是你手上有掌握嘛
transcript.whisperx[10].start 206.681
transcript.whisperx[10].end 235.588
transcript.whisperx[10].text 有我這邊手邊有所以這樣就變成說如果我們說長者或是孩童的這種照護所以這就又變成是衛福部的權責因為人臉我們是你們只是把人召集來不是我們人召集完了之後那衛福部每年他會提出他的需求源額經過行政院的核定核定完了之後我們每年就會把這些人數盡可能的都給滿足到各部位的人力需求
transcript.whisperx[11].start 236.108
transcript.whisperx[11].end 249.67
transcript.whisperx[11].text 那各部会人力需求之后他要分配到哪一个县市哪一个公所就由卫福部来去做决定所以这一个变成又是卫福部的权责对这个分配到服勤地点是由卫福部来决定的
transcript.whisperx[12].start 250.457
transcript.whisperx[12].end 264.186
transcript.whisperx[12].text 接著這一塊因為今天應該衛福部沒來沒有今天衛福部沒來我就接著問我們義男他退伍後的就業輔導因為他這
transcript.whisperx[13].start 268.448
transcript.whisperx[13].end 283.46
transcript.whisperx[13].text 为国家尽义务嘛那总是会牺牲一点尤其我们又恢复了一年嘛对不对所以是不是让他们怎么样会有一个空窗怎么样可以顺利重返社会这一块有没有任何的就业辅导措施
transcript.whisperx[14].start 284.349
transcript.whisperx[14].end 308.57
transcript.whisperx[14].text 我們這個部分我們現階段並沒有去從事這個工作委員如果有指教的話我們以後也可以盡可能來媒介對啦 可以譬如說跟勞動部啊 退府會或是一些相關單位也幫他們弄個就業博覽會因為就本席了解有些人他對他自己的生涯或職涯
transcript.whisperx[15].start 309.45
transcript.whisperx[15].end 336.491
transcript.whisperx[15].text 他掌握得很清楚但是因为现在有些很多服役的他们都还年轻所以如果说在可以有一个衔接然后帮他办个就业博览会也不难吧可以来做吗我们会来结合劳动部来配合这个机制我们来运作对对对好不好好那也请部长也支持多督导那再来就是我们对于这种家境清寒的艺男
transcript.whisperx[16].start 337.752
transcript.whisperx[16].end 363.854
transcript.whisperx[16].text 這個部分我們是不是有可能特別對他們照顧因為我看到好像他們每個月大概就是7000多塊沒有 這個跟委員報告因為我們現階段我們有所謂的中低收入戶跟低收入戶低收入戶是要來扶替代役中低收入戶是扶常備兵役那他們去服役的時候他們的這個家況我們會給他做生活
transcript.whisperx[17].start 366.277
transcript.whisperx[17].end 383.797
transcript.whisperx[17].text 輔助加礦的調查如果符合我們的類級的這個等級我們就會給他生活輔助那生活輔助就按照他的人口口數裡面的多少我們給他這個經費的補助那基本上我們是給他6500多塊將近7000塊沒錯啦
transcript.whisperx[18].start 387.26
transcript.whisperx[18].end 395.367
transcript.whisperx[18].text 所以他家人口多你還可以乘以3喔有3口你可以乘以3那他還分甲級跟乙級丙級甲級的話我們就是乘以3
transcript.whisperx[19].start 399.163
transcript.whisperx[19].end 421.529
transcript.whisperx[19].text 对这一块我们希望能够来协助这个部分我们之前已经有调整过了一次而且调整的幅度本来3000多块我们就调整到将近7000块我手上的资料最新你从5000多调到是7130我不知道那你的讲法是7130如果它符合规定
transcript.whisperx[20].start 422.009
transcript.whisperx[20].end 443.006
transcript.whisperx[20].text 有三口人你可以乘以三給他對 甲級的話我們就是可以乘以三甲級是怎麼樣甲級是他的收入最低生活支出標準的百分之十以內那十到七十是一級對好 我們希望這一塊是能夠來協助我們也希望一起的努力但是我們還要跟主計總署來做溝通好 OK 好 謝謝謝謝委員謝謝