iVOD / 162256

Field Value
IVOD_ID 162256
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/162256
日期 2025-06-05
會議資料.會議代碼 委員會-11-3-36-19
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19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 19
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19次全體委員會議
影片種類 Clip
開始時間 2025-06-05T09:17:36+08:00
結束時間 2025-06-05T09:36:24+08:00
影片長度 00:18:48
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3f41131fcd5ae5647214d65befcd60ad9f0f8eeb1de8c89c47c2ef1f362baa4a0804d8b80b32b3635ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 09:17:36 - 09:36:24
會議時間 2025-06-05T09:00:00+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19次全體委員會議(事由:一、併案審查 (一)考試院函請審議「公務人員保障法部分條文修正草案」案。 (二)台灣民眾黨黨團擬具「公務人員保障法增訂第十九條之一條文草案」案。 (三)委員徐欣瑩等27人擬具「公務人員保障法部分條文修正草案」案。 (四)委員蔡其昌等18人擬具「公務人員保障法部分條文修正草案」案。 (五)委員林月琴等31人擬具「公務人員保障法部分條文修正草案」案。 (六)委員李昆澤等29人擬具「公務人員保障法第十九條條文修正草案」案。 (七)委員黃秀芳等21人擬具「公務人員保障法第十九條條文修正草案」案。 二、繼續併案審查 (一)委員李彥秀等18人擬具「公務人員任用法第三十六條之一條文修正草案」案。 (二)委員翁曉玲等22人擬具「公務人員任用法第二十八條之一條文修正草案」案。 【6月2日、4日及5日三天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 5.80221875
transcript.pyannote[0].end 13.26096875
transcript.pyannote[1].speaker SPEAKER_03
transcript.pyannote[1].start 12.45096875
transcript.pyannote[1].end 13.19346875
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 14.40846875
transcript.pyannote[2].end 15.04971875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 15.10034375
transcript.pyannote[3].end 15.53909375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 20.12909375
transcript.pyannote[4].end 24.02721875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 24.43221875
transcript.pyannote[5].end 28.85346875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 29.47784375
transcript.pyannote[6].end 32.02596875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 32.63346875
transcript.pyannote[7].end 34.06784375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 34.87784375
transcript.pyannote[8].end 37.00409375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 37.71284375
transcript.pyannote[9].end 40.05846875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 41.10471875
transcript.pyannote[10].end 43.16346875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 44.27721875
transcript.pyannote[11].end 45.20534375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 46.11659375
transcript.pyannote[12].end 47.01096875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 47.75346875
transcript.pyannote[13].end 48.54659375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 50.14971875
transcript.pyannote[14].end 53.28846875
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 53.62596875
transcript.pyannote[15].end 54.85784375
transcript.pyannote[16].speaker SPEAKER_01
transcript.pyannote[16].start 56.29221875
transcript.pyannote[16].end 57.74346875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 58.40159375
transcript.pyannote[17].end 60.05534375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 60.79784375
transcript.pyannote[18].end 62.26596875
transcript.pyannote[19].speaker SPEAKER_01
transcript.pyannote[19].start 63.21096875
transcript.pyannote[19].end 66.94034375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 67.61534375
transcript.pyannote[20].end 70.29846875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 71.41221875
transcript.pyannote[21].end 73.15034375
transcript.pyannote[22].speaker SPEAKER_01
transcript.pyannote[22].start 74.28096875
transcript.pyannote[22].end 76.93034375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 79.10721875
transcript.pyannote[23].end 79.27596875
transcript.pyannote[24].speaker SPEAKER_00
transcript.pyannote[24].start 79.83284375
transcript.pyannote[24].end 85.06409375
transcript.pyannote[25].speaker SPEAKER_01
transcript.pyannote[25].start 85.06409375
transcript.pyannote[25].end 92.77596875
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 93.53534375
transcript.pyannote[26].end 95.96534375
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 96.28596875
transcript.pyannote[27].end 98.59784375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 98.71596875
transcript.pyannote[28].end 102.49596875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 103.00221875
transcript.pyannote[29].end 104.31846875
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 104.60534375
transcript.pyannote[30].end 106.24221875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 107.10284375
transcript.pyannote[31].end 116.68784375
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 117.16034375
transcript.pyannote[32].end 118.24034375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 118.61159375
transcript.pyannote[33].end 123.79221875
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 123.79221875
transcript.pyannote[34].end 124.41659375
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 124.41659375
transcript.pyannote[35].end 124.43346875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 124.63596875
transcript.pyannote[36].end 135.33471875
transcript.pyannote[37].speaker SPEAKER_01
transcript.pyannote[37].start 125.39534375
transcript.pyannote[37].end 125.86784375
transcript.pyannote[38].speaker SPEAKER_01
transcript.pyannote[38].start 129.12471875
transcript.pyannote[38].end 130.72784375
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 132.14534375
transcript.pyannote[39].end 134.06909375
transcript.pyannote[40].speaker SPEAKER_01
transcript.pyannote[40].start 134.91284375
transcript.pyannote[40].end 139.82346875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 140.70096875
transcript.pyannote[41].end 142.23659375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 141.44346875
transcript.pyannote[42].end 141.94971875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 142.62471875
transcript.pyannote[43].end 147.48471875
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 148.04159375
transcript.pyannote[44].end 152.10846875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 152.31096875
transcript.pyannote[45].end 153.52596875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 153.52596875
transcript.pyannote[46].end 155.04471875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 153.61034375
transcript.pyannote[47].end 153.96471875
transcript.pyannote[48].speaker SPEAKER_01
transcript.pyannote[48].start 154.03221875
transcript.pyannote[48].end 154.63971875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 155.31471875
transcript.pyannote[49].end 157.25534375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 157.59284375
transcript.pyannote[50].end 169.62471875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 160.71471875
transcript.pyannote[51].end 161.22096875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 161.79471875
transcript.pyannote[52].end 161.86221875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 168.67971875
transcript.pyannote[53].end 169.20284375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 169.81034375
transcript.pyannote[54].end 174.83909375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 172.76346875
transcript.pyannote[55].end 174.23159375
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 175.29471875
transcript.pyannote[56].end 199.99971875
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 176.47596875
transcript.pyannote[57].end 176.50971875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 179.36159375
transcript.pyannote[58].end 180.07034375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 183.00659375
transcript.pyannote[59].end 183.68159375
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 197.82284375
transcript.pyannote[60].end 203.66159375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 203.77971875
transcript.pyannote[61].end 213.41534375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 209.75346875
transcript.pyannote[62].end 209.77034375
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 213.82034375
transcript.pyannote[63].end 213.92159375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 213.97221875
transcript.pyannote[64].end 214.00596875
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 214.02284375
transcript.pyannote[65].end 214.14096875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 214.15784375
transcript.pyannote[66].end 222.61221875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 215.82846875
transcript.pyannote[67].end 216.03096875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 222.47721875
transcript.pyannote[68].end 222.51096875
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 222.61221875
transcript.pyannote[69].end 222.66284375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 222.96659375
transcript.pyannote[70].end 227.25284375
transcript.pyannote[71].speaker SPEAKER_01
transcript.pyannote[71].start 228.53534375
transcript.pyannote[71].end 229.04159375
transcript.pyannote[72].speaker SPEAKER_01
transcript.pyannote[72].start 230.00346875
transcript.pyannote[72].end 238.37346875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 238.77846875
transcript.pyannote[73].end 239.94284375
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 240.85409375
transcript.pyannote[74].end 248.36346875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 248.36346875
transcript.pyannote[75].end 248.39721875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 248.68409375
transcript.pyannote[76].end 253.61159375
transcript.pyannote[77].speaker SPEAKER_01
transcript.pyannote[77].start 252.59909375
transcript.pyannote[77].end 253.15596875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 253.78034375
transcript.pyannote[78].end 257.39159375
transcript.pyannote[79].speaker SPEAKER_01
transcript.pyannote[79].start 255.94034375
transcript.pyannote[79].end 256.69971875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 257.47596875
transcript.pyannote[80].end 265.96409375
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 257.50971875
transcript.pyannote[81].end 258.20159375
transcript.pyannote[82].speaker SPEAKER_01
transcript.pyannote[82].start 264.96846875
transcript.pyannote[82].end 265.62659375
transcript.pyannote[83].speaker SPEAKER_01
transcript.pyannote[83].start 265.96409375
transcript.pyannote[83].end 266.03159375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 266.03159375
transcript.pyannote[84].end 272.25846875
transcript.pyannote[85].speaker SPEAKER_01
transcript.pyannote[85].start 271.00971875
transcript.pyannote[85].end 271.41471875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 272.95034375
transcript.pyannote[86].end 274.01346875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 274.40159375
transcript.pyannote[87].end 276.42659375
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 276.10596875
transcript.pyannote[88].end 288.12096875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 276.44346875
transcript.pyannote[89].end 276.46034375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 288.45846875
transcript.pyannote[90].end 293.94284375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 294.56721875
transcript.pyannote[91].end 295.19159375
transcript.pyannote[92].speaker SPEAKER_01
transcript.pyannote[92].start 295.51221875
transcript.pyannote[92].end 296.57534375
transcript.pyannote[93].speaker SPEAKER_01
transcript.pyannote[93].start 296.92971875
transcript.pyannote[93].end 298.21221875
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 298.54971875
transcript.pyannote[94].end 300.47346875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 300.70971875
transcript.pyannote[95].end 303.57846875
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 304.23659375
transcript.pyannote[96].end 305.14784375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 306.00846875
transcript.pyannote[97].end 306.80159375
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 307.37534375
transcript.pyannote[98].end 313.85534375
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 314.91846875
transcript.pyannote[99].end 335.55659375
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 336.23159375
transcript.pyannote[100].end 338.37471875
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 337.22721875
transcript.pyannote[101].end 339.28596875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 339.94409375
transcript.pyannote[102].end 340.82159375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 340.82159375
transcript.pyannote[103].end 353.27534375
transcript.pyannote[104].speaker SPEAKER_01
transcript.pyannote[104].start 353.44409375
transcript.pyannote[104].end 367.38284375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 368.14221875
transcript.pyannote[105].end 370.74096875
transcript.pyannote[106].speaker SPEAKER_01
transcript.pyannote[106].start 371.50034375
transcript.pyannote[106].end 372.39471875
transcript.pyannote[107].speaker SPEAKER_01
transcript.pyannote[107].start 372.85034375
transcript.pyannote[107].end 373.71096875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 374.11596875
transcript.pyannote[108].end 393.30284375
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 393.67409375
transcript.pyannote[109].end 402.44909375
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 402.44909375
transcript.pyannote[110].end 402.55034375
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 402.55034375
transcript.pyannote[111].end 402.68534375
transcript.pyannote[112].speaker SPEAKER_01
transcript.pyannote[112].start 402.75284375
transcript.pyannote[112].end 404.79471875
transcript.pyannote[113].speaker SPEAKER_04
transcript.pyannote[113].start 407.17409375
transcript.pyannote[113].end 409.19909375
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 409.67159375
transcript.pyannote[114].end 415.07159375
transcript.pyannote[115].speaker SPEAKER_01
transcript.pyannote[115].start 414.16034375
transcript.pyannote[115].end 419.50971875
transcript.pyannote[116].speaker SPEAKER_04
transcript.pyannote[116].start 416.91096875
transcript.pyannote[116].end 416.92784375
transcript.pyannote[117].speaker SPEAKER_04
transcript.pyannote[117].start 416.97846875
transcript.pyannote[117].end 417.23159375
transcript.pyannote[118].speaker SPEAKER_04
transcript.pyannote[118].start 420.58971875
transcript.pyannote[118].end 431.01846875
transcript.pyannote[119].speaker SPEAKER_01
transcript.pyannote[119].start 430.09034375
transcript.pyannote[119].end 432.25034375
transcript.pyannote[120].speaker SPEAKER_01
transcript.pyannote[120].start 432.89159375
transcript.pyannote[120].end 435.13596875
transcript.pyannote[121].speaker SPEAKER_01
transcript.pyannote[121].start 435.16971875
transcript.pyannote[121].end 435.18659375
transcript.pyannote[122].speaker SPEAKER_04
transcript.pyannote[122].start 435.18659375
transcript.pyannote[122].end 435.55784375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 436.01346875
transcript.pyannote[123].end 442.88159375
transcript.pyannote[124].speaker SPEAKER_01
transcript.pyannote[124].start 443.20221875
transcript.pyannote[124].end 449.74971875
transcript.pyannote[125].speaker SPEAKER_01
transcript.pyannote[125].start 452.61846875
transcript.pyannote[125].end 452.97284375
transcript.pyannote[126].speaker SPEAKER_04
transcript.pyannote[126].start 452.97284375
transcript.pyannote[126].end 455.25096875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 455.25096875
transcript.pyannote[127].end 456.51659375
transcript.pyannote[128].speaker SPEAKER_01
transcript.pyannote[128].start 457.07346875
transcript.pyannote[128].end 459.31784375
transcript.pyannote[129].speaker SPEAKER_01
transcript.pyannote[129].start 460.81971875
transcript.pyannote[129].end 463.41846875
transcript.pyannote[130].speaker SPEAKER_01
transcript.pyannote[130].start 463.89096875
transcript.pyannote[130].end 464.24534375
transcript.pyannote[131].speaker SPEAKER_01
transcript.pyannote[131].start 464.58284375
transcript.pyannote[131].end 464.83596875
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 471.72096875
transcript.pyannote[132].end 472.91909375
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 473.64471875
transcript.pyannote[133].end 474.58971875
transcript.pyannote[134].speaker SPEAKER_01
transcript.pyannote[134].start 482.04846875
transcript.pyannote[134].end 483.12846875
transcript.pyannote[135].speaker SPEAKER_01
transcript.pyannote[135].start 485.91284375
transcript.pyannote[135].end 491.02596875
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 491.34659375
transcript.pyannote[136].end 494.43471875
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 495.24471875
transcript.pyannote[137].end 498.02909375
transcript.pyannote[138].speaker SPEAKER_03
transcript.pyannote[138].start 498.06284375
transcript.pyannote[138].end 499.59846875
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 500.03721875
transcript.pyannote[139].end 501.28596875
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 519.34221875
transcript.pyannote[140].end 519.96659375
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 520.45596875
transcript.pyannote[141].end 524.21909375
transcript.pyannote[142].speaker SPEAKER_02
transcript.pyannote[142].start 540.97596875
transcript.pyannote[142].end 541.02659375
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 544.50284375
transcript.pyannote[143].end 550.49346875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 551.48909375
transcript.pyannote[144].end 552.56909375
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 577.44284375
transcript.pyannote[145].end 584.58096875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 585.18846875
transcript.pyannote[146].end 586.31909375
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 587.17971875
transcript.pyannote[147].end 587.95596875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 588.85034375
transcript.pyannote[148].end 595.11096875
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 667.42034375
transcript.pyannote[149].end 671.14971875
transcript.pyannote[150].speaker SPEAKER_02
transcript.pyannote[150].start 668.77034375
transcript.pyannote[150].end 668.95596875
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 681.27471875
transcript.pyannote[151].end 685.12221875
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 734.61659375
transcript.pyannote[152].end 736.35471875
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 736.45596875
transcript.pyannote[153].end 752.03159375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 748.97721875
transcript.pyannote[154].end 750.04034375
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 752.03159375
transcript.pyannote[155].end 752.31846875
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 752.31846875
transcript.pyannote[156].end 765.66659375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 752.35221875
transcript.pyannote[157].end 754.44471875
transcript.pyannote[158].speaker SPEAKER_01
transcript.pyannote[158].start 763.18596875
transcript.pyannote[158].end 763.55721875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 763.55721875
transcript.pyannote[159].end 763.96221875
transcript.pyannote[160].speaker SPEAKER_01
transcript.pyannote[160].start 763.96221875
transcript.pyannote[160].end 765.34596875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 765.76784375
transcript.pyannote[161].end 765.88596875
transcript.pyannote[162].speaker SPEAKER_01
transcript.pyannote[162].start 771.58971875
transcript.pyannote[162].end 777.54659375
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 777.29346875
transcript.pyannote[163].end 784.07721875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 781.88346875
transcript.pyannote[164].end 782.84534375
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 784.68471875
transcript.pyannote[165].end 790.35471875
transcript.pyannote[166].speaker SPEAKER_01
transcript.pyannote[166].start 790.94534375
transcript.pyannote[166].end 798.26909375
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 798.97784375
transcript.pyannote[167].end 803.66909375
transcript.pyannote[168].speaker SPEAKER_04
transcript.pyannote[168].start 804.22596875
transcript.pyannote[168].end 812.59596875
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 806.21721875
transcript.pyannote[169].end 807.66846875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 809.01846875
transcript.pyannote[170].end 810.06471875
transcript.pyannote[171].speaker SPEAKER_01
transcript.pyannote[171].start 810.77346875
transcript.pyannote[171].end 811.63409375
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 812.59596875
transcript.pyannote[172].end 812.62971875
transcript.pyannote[173].speaker SPEAKER_01
transcript.pyannote[173].start 812.69721875
transcript.pyannote[173].end 815.54909375
transcript.pyannote[174].speaker SPEAKER_01
transcript.pyannote[174].start 815.75159375
transcript.pyannote[174].end 818.89034375
transcript.pyannote[175].speaker SPEAKER_01
transcript.pyannote[175].start 819.44721875
transcript.pyannote[175].end 820.99971875
transcript.pyannote[176].speaker SPEAKER_01
transcript.pyannote[176].start 821.59034375
transcript.pyannote[176].end 823.14284375
transcript.pyannote[177].speaker SPEAKER_01
transcript.pyannote[177].start 824.02034375
transcript.pyannote[177].end 826.07909375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 827.05784375
transcript.pyannote[178].end 832.64346875
transcript.pyannote[179].speaker SPEAKER_01
transcript.pyannote[179].start 833.14971875
transcript.pyannote[179].end 835.24221875
transcript.pyannote[180].speaker SPEAKER_01
transcript.pyannote[180].start 835.95096875
transcript.pyannote[180].end 837.26721875
transcript.pyannote[181].speaker SPEAKER_01
transcript.pyannote[181].start 837.84096875
transcript.pyannote[181].end 839.51159375
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 840.42284375
transcript.pyannote[182].end 841.62096875
transcript.pyannote[183].speaker SPEAKER_01
transcript.pyannote[183].start 842.44784375
transcript.pyannote[183].end 843.83159375
transcript.pyannote[184].speaker SPEAKER_01
transcript.pyannote[184].start 845.13096875
transcript.pyannote[184].end 847.20659375
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 847.39221875
transcript.pyannote[185].end 853.73721875
transcript.pyannote[186].speaker SPEAKER_01
transcript.pyannote[186].start 855.47534375
transcript.pyannote[186].end 858.15846875
transcript.pyannote[187].speaker SPEAKER_04
transcript.pyannote[187].start 858.15846875
transcript.pyannote[187].end 858.20909375
transcript.pyannote[188].speaker SPEAKER_01
transcript.pyannote[188].start 858.20909375
transcript.pyannote[188].end 859.82909375
transcript.pyannote[189].speaker SPEAKER_01
transcript.pyannote[189].start 860.20034375
transcript.pyannote[189].end 866.54534375
transcript.pyannote[190].speaker SPEAKER_01
transcript.pyannote[190].start 867.37221875
transcript.pyannote[190].end 878.99909375
transcript.pyannote[191].speaker SPEAKER_01
transcript.pyannote[191].start 879.55596875
transcript.pyannote[191].end 883.94346875
transcript.pyannote[192].speaker SPEAKER_01
transcript.pyannote[192].start 883.96034375
transcript.pyannote[192].end 883.99409375
transcript.pyannote[193].speaker SPEAKER_01
transcript.pyannote[193].start 884.31471875
transcript.pyannote[193].end 897.22409375
transcript.pyannote[194].speaker SPEAKER_01
transcript.pyannote[194].start 897.29159375
transcript.pyannote[194].end 899.08034375
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 899.31659375
transcript.pyannote[195].end 902.38784375
transcript.pyannote[196].speaker SPEAKER_01
transcript.pyannote[196].start 902.62409375
transcript.pyannote[196].end 924.02159375
transcript.pyannote[197].speaker SPEAKER_01
transcript.pyannote[197].start 924.61221875
transcript.pyannote[197].end 937.38659375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 937.55534375
transcript.pyannote[198].end 938.68596875
transcript.pyannote[199].speaker SPEAKER_01
transcript.pyannote[199].start 939.12471875
transcript.pyannote[199].end 952.03409375
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 952.54034375
transcript.pyannote[200].end 960.47159375
transcript.pyannote[201].speaker SPEAKER_01
transcript.pyannote[201].start 960.84284375
transcript.pyannote[201].end 964.85909375
transcript.pyannote[202].speaker SPEAKER_01
transcript.pyannote[202].start 965.73659375
transcript.pyannote[202].end 967.66034375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 968.23409375
transcript.pyannote[203].end 969.76971875
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 969.88784375
transcript.pyannote[204].end 1003.01346875
transcript.pyannote[205].speaker SPEAKER_00
transcript.pyannote[205].start 976.43534375
transcript.pyannote[205].end 976.78971875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 992.98971875
transcript.pyannote[206].end 993.96846875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 1002.77721875
transcript.pyannote[207].end 1002.89534375
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 1003.01346875
transcript.pyannote[208].end 1004.31284375
transcript.pyannote[209].speaker SPEAKER_02
transcript.pyannote[209].start 1004.31284375
transcript.pyannote[209].end 1017.69471875
transcript.pyannote[210].speaker SPEAKER_01
transcript.pyannote[210].start 1009.62846875
transcript.pyannote[210].end 1009.86471875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 1013.29034375
transcript.pyannote[211].end 1013.34096875
transcript.pyannote[212].speaker SPEAKER_01
transcript.pyannote[212].start 1015.11284375
transcript.pyannote[212].end 1015.99034375
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 1017.00284375
transcript.pyannote[213].end 1022.57159375
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 1021.81221875
transcript.pyannote[214].end 1022.16659375
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 1022.41971875
transcript.pyannote[215].end 1038.28221875
transcript.pyannote[216].speaker SPEAKER_01
transcript.pyannote[216].start 1027.49909375
transcript.pyannote[216].end 1027.76909375
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 1033.37159375
transcript.pyannote[217].end 1034.31659375
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 1035.07596875
transcript.pyannote[218].end 1035.88596875
transcript.pyannote[219].speaker SPEAKER_01
transcript.pyannote[219].start 1035.95346875
transcript.pyannote[219].end 1035.97034375
transcript.pyannote[220].speaker SPEAKER_01
transcript.pyannote[220].start 1036.02096875
transcript.pyannote[220].end 1036.05471875
transcript.pyannote[221].speaker SPEAKER_01
transcript.pyannote[221].start 1036.10534375
transcript.pyannote[221].end 1036.20659375
transcript.pyannote[222].speaker SPEAKER_01
transcript.pyannote[222].start 1036.64534375
transcript.pyannote[222].end 1037.16846875
transcript.pyannote[223].speaker SPEAKER_01
transcript.pyannote[223].start 1037.67471875
transcript.pyannote[223].end 1039.76721875
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 1039.53096875
transcript.pyannote[224].end 1039.91909375
transcript.pyannote[225].speaker SPEAKER_01
transcript.pyannote[225].start 1039.91909375
transcript.pyannote[225].end 1041.65721875
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 1040.27346875
transcript.pyannote[226].end 1047.25971875
transcript.pyannote[227].speaker SPEAKER_01
transcript.pyannote[227].start 1043.26034375
transcript.pyannote[227].end 1043.69909375
transcript.pyannote[228].speaker SPEAKER_01
transcript.pyannote[228].start 1046.56784375
transcript.pyannote[228].end 1047.95159375
transcript.pyannote[229].speaker SPEAKER_02
transcript.pyannote[229].start 1047.88409375
transcript.pyannote[229].end 1050.17909375
transcript.pyannote[230].speaker SPEAKER_02
transcript.pyannote[230].start 1050.51659375
transcript.pyannote[230].end 1051.07346875
transcript.pyannote[231].speaker SPEAKER_02
transcript.pyannote[231].start 1051.19159375
transcript.pyannote[231].end 1068.50534375
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 1062.95346875
transcript.pyannote[232].end 1064.03346875
transcript.pyannote[233].speaker SPEAKER_01
transcript.pyannote[233].start 1064.20221875
transcript.pyannote[233].end 1066.00784375
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 1066.90221875
transcript.pyannote[234].end 1075.94721875
transcript.pyannote[235].speaker SPEAKER_02
transcript.pyannote[235].start 1070.61471875
transcript.pyannote[235].end 1072.55534375
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 1075.96409375
transcript.pyannote[236].end 1082.14034375
transcript.pyannote[237].speaker SPEAKER_01
transcript.pyannote[237].start 1082.47784375
transcript.pyannote[237].end 1083.74346875
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 1084.23284375
transcript.pyannote[238].end 1085.41409375
transcript.pyannote[239].speaker SPEAKER_01
transcript.pyannote[239].start 1085.66721875
transcript.pyannote[239].end 1087.96221875
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 1088.24909375
transcript.pyannote[240].end 1093.46346875
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 1094.05409375
transcript.pyannote[241].end 1099.42034375
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 1100.12909375
transcript.pyannote[242].end 1110.05159375
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 1110.16971875
transcript.pyannote[243].end 1122.20159375
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 1122.20159375
transcript.pyannote[244].end 1122.80909375
transcript.pyannote[245].speaker SPEAKER_03
transcript.pyannote[245].start 1124.54721875
transcript.pyannote[245].end 1127.17971875
transcript.whisperx[0].start 6.356
transcript.whisperx[0].end 33.308
transcript.whisperx[0].text 謝謝主席 我們有請考試院秘書長保訓會主任委員 蔡主任委員還有選舉部的懷疑政策懷疑政策委員長三位早 時間的關係不易問候最近監察院濫用公務車的狀況引爆全國人民的怒火昨天有立法委員檢舉所接到檢舉
transcript.whisperx[1].start 34.912
transcript.whisperx[1].end 61.748
transcript.whisperx[1].text 有監委濫用公務車啊結果那個監委啊大嗆說他沒有公務車大家很慘啊下雨天要坐捷運又要走路我看到這樣的發言啊我簡直是瞠目結舌啊何不食肉糜啊全國的公務人員哪一個不是這樣上班的啊監委有比較忙嗎
transcript.whisperx[2].start 63.24
transcript.whisperx[2].end 92.5
transcript.whisperx[2].text 但是他講了一句啊 很有啟發性的話他說什麼他說不是只有監察院有公務車啊要查全面都要查啊來 先請秘書長 贊不贊成他這樣的呼籲跟委員報告 就是我想所有的機關在使用公務車的時候都應該遵守相當的規定OK 好 來 我們來看一下考試院目前有12部首長專用車 1部副首長專用車我指的是院本部喔
transcript.whisperx[3].start 93.601
transcript.whisperx[3].end 117.693
transcript.whisperx[3].text 其他的 選序部 考選部以及保訓會的我還沒有算保訓會的在下一張考選部 選序部 保訓會總共有九部正部首長專用車院本部有十二部首長專用車現在這十二部首長專用車是怎麼使用的可不可以簡單跟大家說明一下我有一個院長 副院長嘛他們都是首長嗎
transcript.whisperx[4].start 118.592
transcript.whisperx[4].end 120.013
transcript.whisperx[4].text 12部扣掉4部 正副院長 正副秘書長還有8部
transcript.whisperx[5].start 140.789
transcript.whisperx[5].end 151.383
transcript.whisperx[5].text 然後有六個考試委員我們六位考試委員他們現在考試委員的那個載送他們的車輛他們的使用方法也是一樣要提出拍車單
transcript.whisperx[6].start 152.375
transcript.whisperx[6].end 174.55
transcript.whisperx[6].text 一樣要提出派車單所以不是專用車有沒有固定的司機?跟委員報告其實慣例上面以前都是專用車在很多屆前那在幾屆以前有立法院做成決議就認為烤尾不應該是專用車有沒有落實?有 這個部分有因為烤尾的車輛都要接受公務車的調排所以司機跟烤尾
transcript.whisperx[7].start 175.35
transcript.whisperx[7].end 199.961
transcript.whisperx[7].text 不是專屬的關係但是他還是會有一個對應關係沒有專屬的關係有對應關係我的意思就是說那你還敢講有落實喔因為這樣考委的車輛也要接受公務車的調度所以也就是說如果因為我們就是如果公務車需要量比較多的時候那我們的單位會調配沒有啦不要講這些雜七雜八的我現在只有問首長專用車嘛是
transcript.whisperx[8].start 203.923
transcript.whisperx[8].end 227.038
transcript.whisperx[8].text 在你們給立法院公務車的車輛明細表裡面有12輛首長專用車嘛扣掉正副院長、正副秘書長還有8輛嘛然後考試委員有6名嘛所以呢首長專用車的數量大於所有院本部的正副首長這樣講沒有錯吧對 因為這次考試委員提名人數就沒有到9位
transcript.whisperx[9].start 230.5
transcript.whisperx[9].end 257.003
transcript.whisperx[9].text 在問我最關鍵的問題以前啦是 上一屆國會的時候秘書長應該很清楚啊你有被檢舉過啊搭公務車然後出入清平台基金會大樓那個時候潘孟安 姚立民也有一起與會這個事情你還記得吧對 這個是我是去拜會清平台的鄭麗君董事長所以這是公務我去拜會他這個部分是公務是公務
transcript.whisperx[10].start 257.603
transcript.whisperx[10].end 273.372
transcript.whisperx[10].text 晚上九點是公務應該說我們在拜會相關民間智庫的話這個其實也是都做這是民間智庫還是賴清德的民間競選總部因為這個部分我沒有參與但是你確定沒有參與真的沒有參與
transcript.whisperx[11].start 274.831
transcript.whisperx[11].end 301.608
transcript.whisperx[11].text 我是去拜會那個...上一屆啊立法委員問這一題問得很溫和啊那時候我人不在立法院啊我也想說算了就尊重那一屆啊立委的職責我只是要喚起你的記憶啊喚起你的記憶啊同時讓所有考試院的正副院長啊大家一起共同勉勵共同警惕啊公務車是不是可以這樣用啊現在事情風波變成這個樣子啊
transcript.whisperx[12].start 304.315
transcript.whisperx[12].end 313.522
transcript.whisperx[12].text 那既然有監委呼籲要查全面就要查那沒關係那我們就來全面的清查
transcript.whisperx[13].start 314.983
transcript.whisperx[13].end 338.922
transcript.whisperx[13].text 是不是可以請考試院包括所屬的兩部還有保訓會針對今年考試委員以及你們正副首長使用公務車的情況派車單的影本以及公務車司機加班的情況每個月加班的時數以及加班費會後把資料送給全體司法法治委員會的委員可以嗎需要多久 三天之內
transcript.whisperx[14].start 340.066
transcript.whisperx[14].end 367.125
transcript.whisperx[14].text 好 我們盡快好 三天之內喔 今年所有的狀況提到司法法治委員會然後我們說到狀況以後有沒有必要排狀案報告我再請我們的召委啊來加以斟酌來進入啊 今天的主題啊中憲院長當初啊 在考試院院長提名權的時候我事實上在跟他詢問 他有跟我承諾說他一定會提出公務員保障法的修正草案這件事情有做到
transcript.whisperx[15].start 368.526
transcript.whisperx[15].end 392.428
transcript.whisperx[15].text 周院長說到做到說到做到我沒有後悔當初投他一個贊成票但是現在我們今天要進入整個法規範細部的討論逐條的時候我們可以再交換意見但有幾個大的原則性的問題來我先請教一下保育訓會的主委裡面有說啦 就針對
transcript.whisperx[16].start 393.769
transcript.whisperx[16].end 404.498
transcript.whisperx[16].text 霸凌的狀況 機關首長經認定職場霸凌成立處一萬元以上 一百萬元以下的罰款這是考試員的提案嘛好 那這個機關首長怎麼定義啊機關 不好意思機關首長指的就是 我們是相對於這個治安法裡面他講的是民間的部署是啦 是啦 那治安法是民間的嘛在公務機關的機關首長如何定義
transcript.whisperx[17].start 420.606
transcript.whisperx[17].end 440.152
transcript.whisperx[17].text 他在整個組織法裡面呢 他明定就是長理跟負責整個機關政務的推動的那一個負責人 最主要負責人 那我們稱為他就是機關首長依照啊 就是中央行政機關組織法的規定我們的機關首長有四級嘛有一級機關 二級機關 三級機關 四級機關嘛四級到第四級的機關首長全部都算是嗎是好來 我們下一個 司長算嗎
transcript.whisperx[18].start 452.617
transcript.whisperx[18].end 462.844
transcript.whisperx[18].text 他算單位主管 他不算機關首長那現在問題就來啦單位主管 師長就很大啦哎唷哎唷 謝禮喔 謝禮 謝禮 謝禮我們先休息 先休息 好
transcript.whisperx[19].start 491.501
transcript.whisperx[19].end 501.025
transcript.whisperx[19].text 民主黨你先坐著休息沒事齁沒有沒有沒有這個不是任何人的問題就民主黨先休息
transcript.whisperx[20].start 520.621
transcript.whisperx[20].end 522.882
transcript.whisperx[20].text 那個立法院這邊有義務室啊那我們再請他們過來一下
transcript.whisperx[21].start 541.334
transcript.whisperx[21].end 541.755
transcript.whisperx[21].text 那個那個
transcript.whisperx[22].start 577.876
transcript.whisperx[22].end 593.494
transcript.whisperx[22].text 各位委員 如果我們讓他們到巡打的位置 大家可以接受嗎好 那我們就 主委 我們就到那個官員的位置那邊去接受巡打這個台子壞掉
transcript.whisperx[23].start 605.744
transcript.whisperx[23].end 605.944
transcript.whisperx[23].text 謝謝大家
transcript.whisperx[24].start 632.619
transcript.whisperx[24].end 637.193
transcript.whisperx[24].text 響鐘
transcript.whisperx[25].start 667.214
transcript.whisperx[25].end 667.234
transcript.whisperx[25].text 這個螢幕
transcript.whisperx[26].start 734.667
transcript.whisperx[26].end 753.175
transcript.whisperx[26].text 好那民主黨等一下如果你有任何需要或不舒服你都隨時跟我們說不用擔心擔入會議的進行就隨時跟我講那我們需要停止或是你有什麼需求就直接跟我們說好謝謝委員關心以身體健康為第一優先抱歉個人身體狀況這個身體的問題絕對不是任何人有什麼不對的地方
transcript.whisperx[27].start 758.357
transcript.whisperx[27].end 782.09
transcript.whisperx[27].text 所以只要有什麼問題你隨時跟我說以您的身體健康為我的第一考量是 謝謝 不好意思那我們就會議繼續謝謝主席其實我是歉意啦看是不是直接讓秘書長先離席我剛剛有跟秘書長說就是秘書長如果需要請假可以先請假回去沒有關係 謝謝委員讓我坐著 謝謝
transcript.whisperx[28].start 784.904
transcript.whisperx[28].end 801.946
transcript.whisperx[28].text 那請秘書長隨時注意一下身體狀況或有沒有撞傷或什麼一定要講好謝謝秘書長OK好那就繼續下去就麻煩保訓會的主委回答就好了所以我們先從法條的定義開始司長不在你們這次所提出法案的機關首長的範圍當中對不對
transcript.whisperx[29].start 804.762
transcript.whisperx[29].end 825.963
transcript.whisperx[29].text 他不算機關首長,但是他算是負責人之一,因為如果說在現場當中他是實際指揮監督者。我就具體的講我的法律意見,從過去衛福部所發生的案子,清楚的呈現出來,不用到機關首長,部門主管的權勢就很大了。
transcript.whisperx[30].start 827.13
transcript.whisperx[30].end 852.01
transcript.whisperx[30].text 部門主管的權勢就很大了就問一問一般的公務員 司長大不大司長講的話敢不敢違逆為什麼會有司長叫人家在那邊要深蹲做福利挺身還叫下屬自殺這個應該都是落入你們這一次保訓會所提出的公務員職場霸凌的定義範圍內沒有錯吧
transcript.whisperx[31].start 855.532
transcript.whisperx[31].end 881.531
transcript.whisperx[31].text 你要按麥克風是對嘛那現在問題就來啦屬於你們所定義的職場霸凌範疇但因為他不符合機關首長的定義那導致沒有辦法對他進行行政上面的罰環而他現實上是什麼現實上公務體系裡面公務員隨便問一問就知道詮釋很大了啦那要不然在衛福部怎麼會出現這樣令人髮指的狀況
transcript.whisperx[32].start 884.38
transcript.whisperx[32].end 912.712
transcript.whisperx[32].text 沒有關係 我質詢就是要把這個point把它講出來那具體法條討論的時候我跟其他的委員包括吳宗憲委員 羅志強委員等等我們所提出來的修正動議到具體條文的時候我們再來進一步討論希望到時候考試院保訓會的心胸能夠放寬一點全部把它嚴格限定在機關首長保護的範圍是不是足夠這件事情可能要討論一下
transcript.whisperx[33].start 914.053
transcript.whisperx[33].end 923.844
transcript.whisperx[33].text 我的時間到了 我最後只問一題跟今天所提的法律案有關係的我們都到主條再來處理我最後一個問題 請教一下全序部的
transcript.whisperx[34].start 924.676
transcript.whisperx[34].end 951.397
transcript.whisperx[34].text 我們之前啊 就那個警察人員人事條例啊台灣民眾黨團的立場是我們要保護我們警消的同仁他們非常的辛苦 非常的辛苦在政策上 權序部有不一樣的看法我理解 因為你們要面對所有的公務員那警消特別處理你們權序部一直有不一樣的看法這個我都理解但問題是這個法律案現在已經三讀通過了
transcript.whisperx[35].start 952.608
transcript.whisperx[35].end 967.461
transcript.whisperx[35].text 那我得到一些基層我們警消退休的人員他們的反應是說三讀通過了到底什麼時候要做然後我找警政署來說現在跟你們好像有一些意見不一樣需要多久來請玄虛部
transcript.whisperx[36].start 968.474
transcript.whisperx[36].end 993.701
transcript.whisperx[36].text 我跟委員報告一下第一個這個法律已經在今年4月25日那個總統公布生效這是一個有效法律我們本部一定會執行這個大家不用擔心那另外因為在這個法通過以後事實上那個實際執行上面我們事實上在4月29號5月16號跟5月28號兩部的就內政部跟本部的政務次長都有召開會議因為有些執行上細節並不是還需要多久
transcript.whisperx[37].start 995.062
transcript.whisperx[37].end 1012.219
transcript.whisperx[37].text 我目前大概警政署他必須要研修一個警察條例的適應細則那因為現在的這個所以現在是警政署那邊的問題對因為我們這個有很多討論因為很多細節這我跟委員報告我也是繼承公園出身的是這法律通過不是我們想像說好像訂貼貼
transcript.whisperx[38].start 1013.74
transcript.whisperx[38].end 1035.191
transcript.whisperx[38].text 尤其這個裡面大概沒有退休人就跟沒有退休人你把要做的工作還有需要多久清楚的讓大家知道讓所有基層的同仁可以知道就好這個我們現在大概後續還要再進行一個叫做電腦系統的一個需求處理那那個部分我們跟專業單位討論過大概需要三個月時間因為這是三個月時間對對對因為這是沒有關係就等你三個月那我也跟委員因為今天你時間講出來了嘛對對
transcript.whisperx[39].start 1040.134
transcript.whisperx[39].end 1067.813
transcript.whisperx[39].text 那大家就等你三個月三個月要完成電腦系統以後我們才可以開始作業不是說三個月就把這個事情做好所以總共需要多久我們是預計因為我們考慮到我們也考慮到我們部裡面同仁的工作複合喔大概電腦如果很順利能夠三個月把它完成的話我們大概預判應該在年底以前應該都可以把它完成年底以前對 把四萬多年前完成沒有關係啦而且這個都會追溯你們需要時間喔一定給你們時間
transcript.whisperx[40].start 1070.394
transcript.whisperx[40].end 1099.176
transcript.whisperx[40].text 那只是全責要理清楚那你要給大家一個清楚心理的預期嘛這些基層的公務人員他們退休了以後知道你們辛苦需要時間處理這大家都可以理解那我也肯定今天選區部表現了一個態度立法院三讀通過了法律你們會遵守 會執行這個態度非常的好啊這個態度真的非常的好啊比現在行政院院長卓榮他的態度啊好太多了
transcript.whisperx[41].start 1100.185
transcript.whisperx[41].end 1121.209
transcript.whisperx[41].text 那只是在具體執行的時間上你們說希望年底以前完成那就拜託學區部的同仁跟我們警政署的同仁加把勁因為對於這些退休警囂給他們保障這件事情他們期待了非常久法律完成三讀的盡量能夠趕快真正的施行謝謝