iVOD / 157225

Field Value
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/be8492a9d81d8eab63dfd778a997f16415c44cfb23388520f42805494607c278686bf1ce6383841d5ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 黃國昌
委員發言時間 15:02:18 - 15:14:43
影片長度 745
會議時間 2024-11-20T09:00:00+08:00
會議名稱 立法院第11屆第2會期社會福利及衛生環境委員會第9次全體委員會議(事由:邀請勞動部部長、銓敘部、國防部、內政部警政署、內政部消防署、行政院人事行政總處、考試院、公務人員保障暨培訓委員會、教育部及國家科學及技術委員會就「職場霸凌防治與處理作業」進行專題報告,並備質詢。)
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 8.51909375
transcript.pyannote[0].end 10.25721875
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 16.61909375
transcript.pyannote[1].end 17.02409375
transcript.pyannote[2].speaker SPEAKER_03
transcript.pyannote[2].start 17.54721875
transcript.pyannote[2].end 19.80846875
transcript.pyannote[3].speaker SPEAKER_03
transcript.pyannote[3].start 20.55096875
transcript.pyannote[3].end 22.82909375
transcript.pyannote[4].speaker SPEAKER_03
transcript.pyannote[4].start 23.74034375
transcript.pyannote[4].end 29.68034375
transcript.pyannote[5].speaker SPEAKER_03
transcript.pyannote[5].start 30.40596875
transcript.pyannote[5].end 31.28346875
transcript.pyannote[6].speaker SPEAKER_03
transcript.pyannote[6].start 31.67159375
transcript.pyannote[6].end 36.02534375
transcript.pyannote[7].speaker SPEAKER_03
transcript.pyannote[7].start 36.43034375
transcript.pyannote[7].end 38.62409375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 40.00784375
transcript.pyannote[8].end 40.39596875
transcript.pyannote[9].speaker SPEAKER_03
transcript.pyannote[9].start 41.74596875
transcript.pyannote[9].end 43.24784375
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 43.72034375
transcript.pyannote[10].end 45.00284375
transcript.pyannote[11].speaker SPEAKER_03
transcript.pyannote[11].start 45.32346875
transcript.pyannote[11].end 46.60596875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 47.44971875
transcript.pyannote[12].end 48.73221875
transcript.pyannote[13].speaker SPEAKER_03
transcript.pyannote[13].start 48.73221875
transcript.pyannote[13].end 50.89221875
transcript.pyannote[14].speaker SPEAKER_03
transcript.pyannote[14].start 51.46596875
transcript.pyannote[14].end 57.92909375
transcript.pyannote[15].speaker SPEAKER_03
transcript.pyannote[15].start 60.34221875
transcript.pyannote[15].end 61.30409375
transcript.pyannote[16].speaker SPEAKER_03
transcript.pyannote[16].start 62.02971875
transcript.pyannote[16].end 64.56096875
transcript.pyannote[17].speaker SPEAKER_03
transcript.pyannote[17].start 65.45534375
transcript.pyannote[17].end 69.94409375
transcript.pyannote[18].speaker SPEAKER_03
transcript.pyannote[18].start 71.20971875
transcript.pyannote[18].end 72.13784375
transcript.pyannote[19].speaker SPEAKER_03
transcript.pyannote[19].start 72.76221875
transcript.pyannote[19].end 76.40721875
transcript.pyannote[20].speaker SPEAKER_03
transcript.pyannote[20].start 78.02721875
transcript.pyannote[20].end 79.98471875
transcript.pyannote[21].speaker SPEAKER_03
transcript.pyannote[21].start 80.99721875
transcript.pyannote[21].end 82.78596875
transcript.pyannote[22].speaker SPEAKER_03
transcript.pyannote[22].start 83.52846875
transcript.pyannote[22].end 86.88659375
transcript.pyannote[23].speaker SPEAKER_03
transcript.pyannote[23].start 88.00034375
transcript.pyannote[23].end 90.80159375
transcript.pyannote[24].speaker SPEAKER_03
transcript.pyannote[24].start 91.54409375
transcript.pyannote[24].end 94.02471875
transcript.pyannote[25].speaker SPEAKER_03
transcript.pyannote[25].start 95.00346875
transcript.pyannote[25].end 96.74159375
transcript.pyannote[26].speaker SPEAKER_03
transcript.pyannote[26].start 97.80471875
transcript.pyannote[26].end 99.98159375
transcript.pyannote[27].speaker SPEAKER_03
transcript.pyannote[27].start 101.04471875
transcript.pyannote[27].end 102.66471875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 103.62659375
transcript.pyannote[28].end 104.60534375
transcript.pyannote[29].speaker SPEAKER_03
transcript.pyannote[29].start 105.16221875
transcript.pyannote[29].end 107.11971875
transcript.pyannote[30].speaker SPEAKER_03
transcript.pyannote[30].start 107.94659375
transcript.pyannote[30].end 108.73971875
transcript.pyannote[31].speaker SPEAKER_03
transcript.pyannote[31].start 110.25846875
transcript.pyannote[31].end 110.69721875
transcript.pyannote[32].speaker SPEAKER_03
transcript.pyannote[32].start 112.75596875
transcript.pyannote[32].end 115.00034375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 115.47284375
transcript.pyannote[33].end 117.58221875
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 118.12221875
transcript.pyannote[34].end 121.86846875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 122.02034375
transcript.pyannote[35].end 130.72784375
transcript.pyannote[36].speaker SPEAKER_03
transcript.pyannote[36].start 129.10784375
transcript.pyannote[36].end 132.34784375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 132.75284375
transcript.pyannote[37].end 136.31346875
transcript.pyannote[38].speaker SPEAKER_03
transcript.pyannote[38].start 135.03096875
transcript.pyannote[38].end 139.08096875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 137.34284375
transcript.pyannote[39].end 137.96721875
transcript.pyannote[40].speaker SPEAKER_03
transcript.pyannote[40].start 139.95846875
transcript.pyannote[40].end 142.03409375
transcript.pyannote[41].speaker SPEAKER_03
transcript.pyannote[41].start 142.37159375
transcript.pyannote[41].end 143.51909375
transcript.pyannote[42].speaker SPEAKER_03
transcript.pyannote[42].start 143.82284375
transcript.pyannote[42].end 145.08846875
transcript.pyannote[43].speaker SPEAKER_03
transcript.pyannote[43].start 145.78034375
transcript.pyannote[43].end 150.52221875
transcript.pyannote[44].speaker SPEAKER_03
transcript.pyannote[44].start 151.77096875
transcript.pyannote[44].end 157.03596875
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 158.45346875
transcript.pyannote[45].end 162.80721875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 163.38096875
transcript.pyannote[46].end 171.32909375
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 171.68346875
transcript.pyannote[47].end 173.97846875
transcript.pyannote[48].speaker SPEAKER_03
transcript.pyannote[48].start 172.47659375
transcript.pyannote[48].end 172.96596875
transcript.pyannote[49].speaker SPEAKER_03
transcript.pyannote[49].start 173.97846875
transcript.pyannote[49].end 176.39159375
transcript.pyannote[50].speaker SPEAKER_03
transcript.pyannote[50].start 176.91471875
transcript.pyannote[50].end 179.10846875
transcript.pyannote[51].speaker SPEAKER_03
transcript.pyannote[51].start 179.22659375
transcript.pyannote[51].end 181.13346875
transcript.pyannote[52].speaker SPEAKER_03
transcript.pyannote[52].start 181.79159375
transcript.pyannote[52].end 182.26409375
transcript.pyannote[53].speaker SPEAKER_03
transcript.pyannote[53].start 182.66909375
transcript.pyannote[53].end 183.05721875
transcript.pyannote[54].speaker SPEAKER_03
transcript.pyannote[54].start 184.00221875
transcript.pyannote[54].end 184.52534375
transcript.pyannote[55].speaker SPEAKER_03
transcript.pyannote[55].start 184.96409375
transcript.pyannote[55].end 187.44471875
transcript.pyannote[56].speaker SPEAKER_03
transcript.pyannote[56].start 189.08159375
transcript.pyannote[56].end 191.79846875
transcript.pyannote[57].speaker SPEAKER_03
transcript.pyannote[57].start 192.23721875
transcript.pyannote[57].end 193.48596875
transcript.pyannote[58].speaker SPEAKER_03
transcript.pyannote[58].start 193.92471875
transcript.pyannote[58].end 194.70096875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 195.54471875
transcript.pyannote[59].end 202.58159375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 202.76721875
transcript.pyannote[60].end 204.84284375
transcript.pyannote[61].speaker SPEAKER_02
transcript.pyannote[61].start 205.50096875
transcript.pyannote[61].end 227.53971875
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 227.65784375
transcript.pyannote[62].end 233.54721875
transcript.pyannote[63].speaker SPEAKER_03
transcript.pyannote[63].start 234.00284375
transcript.pyannote[63].end 236.19659375
transcript.pyannote[64].speaker SPEAKER_02
transcript.pyannote[64].start 238.44096875
transcript.pyannote[64].end 241.32659375
transcript.pyannote[65].speaker SPEAKER_02
transcript.pyannote[65].start 241.68096875
transcript.pyannote[65].end 241.69784375
transcript.pyannote[66].speaker SPEAKER_03
transcript.pyannote[66].start 241.69784375
transcript.pyannote[66].end 242.86221875
transcript.pyannote[67].speaker SPEAKER_02
transcript.pyannote[67].start 242.23784375
transcript.pyannote[67].end 242.45721875
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 242.86221875
transcript.pyannote[68].end 242.92971875
transcript.pyannote[69].speaker SPEAKER_03
transcript.pyannote[69].start 242.92971875
transcript.pyannote[69].end 242.96346875
transcript.pyannote[70].speaker SPEAKER_02
transcript.pyannote[70].start 242.96346875
transcript.pyannote[70].end 243.03096875
transcript.pyannote[71].speaker SPEAKER_03
transcript.pyannote[71].start 243.03096875
transcript.pyannote[71].end 243.06471875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 243.06471875
transcript.pyannote[72].end 243.11534375
transcript.pyannote[73].speaker SPEAKER_03
transcript.pyannote[73].start 243.45284375
transcript.pyannote[73].end 246.82784375
transcript.pyannote[74].speaker SPEAKER_02
transcript.pyannote[74].start 246.82784375
transcript.pyannote[74].end 247.16534375
transcript.pyannote[75].speaker SPEAKER_03
transcript.pyannote[75].start 247.09784375
transcript.pyannote[75].end 249.17346875
transcript.pyannote[76].speaker SPEAKER_03
transcript.pyannote[76].start 250.81034375
transcript.pyannote[76].end 252.59909375
transcript.pyannote[77].speaker SPEAKER_03
transcript.pyannote[77].start 252.91971875
transcript.pyannote[77].end 254.03346875
transcript.pyannote[78].speaker SPEAKER_03
transcript.pyannote[78].start 254.64096875
transcript.pyannote[78].end 256.02471875
transcript.pyannote[79].speaker SPEAKER_03
transcript.pyannote[79].start 256.05846875
transcript.pyannote[79].end 259.01159375
transcript.pyannote[80].speaker SPEAKER_03
transcript.pyannote[80].start 260.68221875
transcript.pyannote[80].end 263.14596875
transcript.pyannote[81].speaker SPEAKER_03
transcript.pyannote[81].start 263.24721875
transcript.pyannote[81].end 264.61409375
transcript.pyannote[82].speaker SPEAKER_03
transcript.pyannote[82].start 267.83721875
transcript.pyannote[82].end 269.86221875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 269.86221875
transcript.pyannote[83].end 288.76221875
transcript.pyannote[84].speaker SPEAKER_03
transcript.pyannote[84].start 288.76221875
transcript.pyannote[84].end 291.85034375
transcript.pyannote[85].speaker SPEAKER_03
transcript.pyannote[85].start 294.66846875
transcript.pyannote[85].end 295.69784375
transcript.pyannote[86].speaker SPEAKER_03
transcript.pyannote[86].start 296.65971875
transcript.pyannote[86].end 297.63846875
transcript.pyannote[87].speaker SPEAKER_03
transcript.pyannote[87].start 297.70596875
transcript.pyannote[87].end 299.84909375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 300.79409375
transcript.pyannote[88].end 301.92471875
transcript.pyannote[89].speaker SPEAKER_03
transcript.pyannote[89].start 302.11034375
transcript.pyannote[89].end 303.29159375
transcript.pyannote[90].speaker SPEAKER_03
transcript.pyannote[90].start 303.88221875
transcript.pyannote[90].end 305.58659375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 306.51471875
transcript.pyannote[91].end 307.67909375
transcript.pyannote[92].speaker SPEAKER_02
transcript.pyannote[92].start 310.29471875
transcript.pyannote[92].end 318.41159375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 312.48846875
transcript.pyannote[93].end 313.83846875
transcript.pyannote[94].speaker SPEAKER_02
transcript.pyannote[94].start 319.00221875
transcript.pyannote[94].end 320.03159375
transcript.pyannote[95].speaker SPEAKER_03
transcript.pyannote[95].start 320.03159375
transcript.pyannote[95].end 321.97221875
transcript.pyannote[96].speaker SPEAKER_03
transcript.pyannote[96].start 322.91721875
transcript.pyannote[96].end 324.60471875
transcript.pyannote[97].speaker SPEAKER_03
transcript.pyannote[97].start 326.54534375
transcript.pyannote[97].end 328.95846875
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 328.95846875
transcript.pyannote[98].end 330.64596875
transcript.pyannote[99].speaker SPEAKER_03
transcript.pyannote[99].start 330.64596875
transcript.pyannote[99].end 332.11409375
transcript.pyannote[100].speaker SPEAKER_03
transcript.pyannote[100].start 332.38409375
transcript.pyannote[100].end 336.72096875
transcript.pyannote[101].speaker SPEAKER_03
transcript.pyannote[101].start 337.42971875
transcript.pyannote[101].end 338.74596875
transcript.pyannote[102].speaker SPEAKER_03
transcript.pyannote[102].start 339.21846875
transcript.pyannote[102].end 340.55159375
transcript.pyannote[103].speaker SPEAKER_03
transcript.pyannote[103].start 341.04096875
transcript.pyannote[103].end 342.25596875
transcript.pyannote[104].speaker SPEAKER_03
transcript.pyannote[104].start 342.91409375
transcript.pyannote[104].end 344.71971875
transcript.pyannote[105].speaker SPEAKER_03
transcript.pyannote[105].start 345.22596875
transcript.pyannote[105].end 346.87971875
transcript.pyannote[106].speaker SPEAKER_03
transcript.pyannote[106].start 347.35221875
transcript.pyannote[106].end 349.76534375
transcript.pyannote[107].speaker SPEAKER_03
transcript.pyannote[107].start 350.57534375
transcript.pyannote[107].end 351.45284375
transcript.pyannote[108].speaker SPEAKER_03
transcript.pyannote[108].start 352.38096875
transcript.pyannote[108].end 353.64659375
transcript.pyannote[109].speaker SPEAKER_03
transcript.pyannote[109].start 355.14846875
transcript.pyannote[109].end 356.16096875
transcript.pyannote[110].speaker SPEAKER_03
transcript.pyannote[110].start 358.10159375
transcript.pyannote[110].end 358.62471875
transcript.pyannote[111].speaker SPEAKER_03
transcript.pyannote[111].start 359.90721875
transcript.pyannote[111].end 361.62846875
transcript.pyannote[112].speaker SPEAKER_03
transcript.pyannote[112].start 362.74221875
transcript.pyannote[112].end 365.98221875
transcript.pyannote[113].speaker SPEAKER_03
transcript.pyannote[113].start 368.04096875
transcript.pyannote[113].end 370.97721875
transcript.pyannote[114].speaker SPEAKER_03
transcript.pyannote[114].start 371.16284375
transcript.pyannote[114].end 373.01909375
transcript.pyannote[115].speaker SPEAKER_00
transcript.pyannote[115].start 375.97221875
transcript.pyannote[115].end 376.02284375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 376.07346875
transcript.pyannote[116].end 376.44471875
transcript.pyannote[117].speaker SPEAKER_00
transcript.pyannote[117].start 376.96784375
transcript.pyannote[117].end 377.03534375
transcript.pyannote[118].speaker SPEAKER_02
transcript.pyannote[118].start 377.84534375
transcript.pyannote[118].end 381.79409375
transcript.pyannote[119].speaker SPEAKER_03
transcript.pyannote[119].start 382.01346875
transcript.pyannote[119].end 384.78096875
transcript.pyannote[120].speaker SPEAKER_03
transcript.pyannote[120].start 385.48971875
transcript.pyannote[120].end 386.92409375
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 387.98721875
transcript.pyannote[121].end 388.29096875
transcript.pyannote[122].speaker SPEAKER_01
transcript.pyannote[122].start 388.29096875
transcript.pyannote[122].end 388.51034375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 388.51034375
transcript.pyannote[123].end 394.26471875
transcript.pyannote[124].speaker SPEAKER_03
transcript.pyannote[124].start 394.80471875
transcript.pyannote[124].end 394.92284375
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 394.92284375
transcript.pyannote[125].end 394.95659375
transcript.pyannote[126].speaker SPEAKER_03
transcript.pyannote[126].start 394.95659375
transcript.pyannote[126].end 397.72409375
transcript.pyannote[127].speaker SPEAKER_03
transcript.pyannote[127].start 398.23034375
transcript.pyannote[127].end 401.89221875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 398.66909375
transcript.pyannote[128].end 399.02346875
transcript.pyannote[129].speaker SPEAKER_00
transcript.pyannote[129].start 399.02346875
transcript.pyannote[129].end 399.07409375
transcript.pyannote[130].speaker SPEAKER_00
transcript.pyannote[130].start 399.14159375
transcript.pyannote[130].end 399.22596875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 399.22596875
transcript.pyannote[131].end 399.51284375
transcript.pyannote[132].speaker SPEAKER_03
transcript.pyannote[132].start 402.41534375
transcript.pyannote[132].end 403.81596875
transcript.pyannote[133].speaker SPEAKER_03
transcript.pyannote[133].start 405.48659375
transcript.pyannote[133].end 406.17846875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 407.83221875
transcript.pyannote[134].end 411.03846875
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 411.79784375
transcript.pyannote[135].end 423.01971875
transcript.pyannote[136].speaker SPEAKER_03
transcript.pyannote[136].start 412.38846875
transcript.pyannote[136].end 414.59909375
transcript.pyannote[137].speaker SPEAKER_03
transcript.pyannote[137].start 421.14659375
transcript.pyannote[137].end 422.46284375
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 423.52596875
transcript.pyannote[138].end 423.55971875
transcript.pyannote[139].speaker SPEAKER_03
transcript.pyannote[139].start 423.55971875
transcript.pyannote[139].end 427.00221875
transcript.pyannote[140].speaker SPEAKER_03
transcript.pyannote[140].start 427.17096875
transcript.pyannote[140].end 429.12846875
transcript.pyannote[141].speaker SPEAKER_03
transcript.pyannote[141].start 430.02284375
transcript.pyannote[141].end 431.64284375
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 432.09846875
transcript.pyannote[142].end 432.99284375
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 433.41471875
transcript.pyannote[143].end 438.61221875
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 437.54909375
transcript.pyannote[144].end 440.04659375
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 440.35034375
transcript.pyannote[145].end 443.30346875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 446.30721875
transcript.pyannote[146].end 446.71221875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 447.08346875
transcript.pyannote[147].end 449.10846875
transcript.pyannote[148].speaker SPEAKER_03
transcript.pyannote[148].start 449.68221875
transcript.pyannote[148].end 451.09971875
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 451.84221875
transcript.pyannote[149].end 453.54659375
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 454.62659375
transcript.pyannote[150].end 455.60534375
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 456.63471875
transcript.pyannote[151].end 458.55846875
transcript.pyannote[152].speaker SPEAKER_03
transcript.pyannote[152].start 459.19971875
transcript.pyannote[152].end 460.85346875
transcript.pyannote[153].speaker SPEAKER_03
transcript.pyannote[153].start 462.10221875
transcript.pyannote[153].end 464.61659375
transcript.pyannote[154].speaker SPEAKER_03
transcript.pyannote[154].start 465.24096875
transcript.pyannote[154].end 466.74284375
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 467.36721875
transcript.pyannote[155].end 468.32909375
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 468.85221875
transcript.pyannote[156].end 474.23534375
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 477.84659375
transcript.pyannote[157].end 482.20034375
transcript.pyannote[158].speaker SPEAKER_03
transcript.pyannote[158].start 484.02284375
transcript.pyannote[158].end 487.07721875
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 487.88721875
transcript.pyannote[159].end 489.06846875
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 489.18659375
transcript.pyannote[160].end 489.54096875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 490.01346875
transcript.pyannote[161].end 492.46034375
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 492.56159375
transcript.pyannote[162].end 492.66284375
transcript.pyannote[163].speaker SPEAKER_03
transcript.pyannote[163].start 492.66284375
transcript.pyannote[163].end 496.29096875
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 492.69659375
transcript.pyannote[164].end 492.71346875
transcript.pyannote[165].speaker SPEAKER_03
transcript.pyannote[165].start 497.45534375
transcript.pyannote[165].end 497.97846875
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 501.92721875
transcript.pyannote[166].end 501.97784375
transcript.pyannote[167].speaker SPEAKER_00
transcript.pyannote[167].start 501.97784375
transcript.pyannote[167].end 502.02846875
transcript.pyannote[168].speaker SPEAKER_03
transcript.pyannote[168].start 502.02846875
transcript.pyannote[168].end 502.48409375
transcript.pyannote[169].speaker SPEAKER_00
transcript.pyannote[169].start 502.18034375
transcript.pyannote[169].end 502.45034375
transcript.pyannote[170].speaker SPEAKER_00
transcript.pyannote[170].start 502.48409375
transcript.pyannote[170].end 502.50096875
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 502.50096875
transcript.pyannote[171].end 502.51784375
transcript.pyannote[172].speaker SPEAKER_00
transcript.pyannote[172].start 502.51784375
transcript.pyannote[172].end 502.61909375
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 503.42909375
transcript.pyannote[173].end 505.48784375
transcript.pyannote[174].speaker SPEAKER_03
transcript.pyannote[174].start 506.11221875
transcript.pyannote[174].end 506.80409375
transcript.pyannote[175].speaker SPEAKER_03
transcript.pyannote[175].start 507.49596875
transcript.pyannote[175].end 511.49534375
transcript.pyannote[176].speaker SPEAKER_03
transcript.pyannote[176].start 512.00159375
transcript.pyannote[176].end 515.66346875
transcript.pyannote[177].speaker SPEAKER_03
transcript.pyannote[177].start 515.73096875
transcript.pyannote[177].end 518.12721875
transcript.pyannote[178].speaker SPEAKER_03
transcript.pyannote[178].start 518.73471875
transcript.pyannote[178].end 519.83159375
transcript.pyannote[179].speaker SPEAKER_03
transcript.pyannote[179].start 520.92846875
transcript.pyannote[179].end 523.52721875
transcript.pyannote[180].speaker SPEAKER_03
transcript.pyannote[180].start 524.38784375
transcript.pyannote[180].end 526.36221875
transcript.pyannote[181].speaker SPEAKER_03
transcript.pyannote[181].start 528.82596875
transcript.pyannote[181].end 530.91846875
transcript.pyannote[182].speaker SPEAKER_03
transcript.pyannote[182].start 530.96909375
transcript.pyannote[182].end 531.05346875
transcript.pyannote[183].speaker SPEAKER_03
transcript.pyannote[183].start 531.08721875
transcript.pyannote[183].end 541.90409375
transcript.pyannote[184].speaker SPEAKER_03
transcript.pyannote[184].start 542.20784375
transcript.pyannote[184].end 545.21159375
transcript.pyannote[185].speaker SPEAKER_03
transcript.pyannote[185].start 546.07221875
transcript.pyannote[185].end 550.29096875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 552.65346875
transcript.pyannote[186].end 553.21034375
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 553.95284375
transcript.pyannote[187].end 554.50971875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 554.64471875
transcript.pyannote[188].end 555.50534375
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 556.93971875
transcript.pyannote[189].end 556.95659375
transcript.pyannote[190].speaker SPEAKER_03
transcript.pyannote[190].start 556.95659375
transcript.pyannote[190].end 557.69909375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 557.69909375
transcript.pyannote[191].end 557.86784375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 559.50471875
transcript.pyannote[192].end 559.52159375
transcript.pyannote[193].speaker SPEAKER_03
transcript.pyannote[193].start 559.52159375
transcript.pyannote[193].end 560.02784375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 561.49596875
transcript.pyannote[194].end 561.52971875
transcript.pyannote[195].speaker SPEAKER_03
transcript.pyannote[195].start 561.52971875
transcript.pyannote[195].end 561.95159375
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 561.59721875
transcript.pyannote[196].end 561.64784375
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 561.95159375
transcript.pyannote[197].end 561.96846875
transcript.pyannote[198].speaker SPEAKER_03
transcript.pyannote[198].start 561.96846875
transcript.pyannote[198].end 562.08659375
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 562.08659375
transcript.pyannote[199].end 562.39034375
transcript.pyannote[200].speaker SPEAKER_03
transcript.pyannote[200].start 562.62659375
transcript.pyannote[200].end 565.17471875
transcript.pyannote[201].speaker SPEAKER_03
transcript.pyannote[201].start 565.66409375
transcript.pyannote[201].end 570.32159375
transcript.pyannote[202].speaker SPEAKER_03
transcript.pyannote[202].start 570.38909375
transcript.pyannote[202].end 571.43534375
transcript.pyannote[203].speaker SPEAKER_03
transcript.pyannote[203].start 571.77284375
transcript.pyannote[203].end 574.33784375
transcript.pyannote[204].speaker SPEAKER_03
transcript.pyannote[204].start 574.89471875
transcript.pyannote[204].end 575.63721875
transcript.pyannote[205].speaker SPEAKER_03
transcript.pyannote[205].start 576.26159375
transcript.pyannote[205].end 578.01659375
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 579.24846875
transcript.pyannote[206].end 580.56471875
transcript.pyannote[207].speaker SPEAKER_03
transcript.pyannote[207].start 580.56471875
transcript.pyannote[207].end 582.13409375
transcript.pyannote[208].speaker SPEAKER_03
transcript.pyannote[208].start 582.70784375
transcript.pyannote[208].end 586.09971875
transcript.pyannote[209].speaker SPEAKER_03
transcript.pyannote[209].start 586.36971875
transcript.pyannote[209].end 587.50034375
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 588.90096875
transcript.pyannote[210].end 589.76159375
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 590.13284375
transcript.pyannote[211].end 593.59221875
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 594.06471875
transcript.pyannote[212].end 601.38846875
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 601.75971875
transcript.pyannote[213].end 603.56534375
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 607.19346875
transcript.pyannote[214].end 608.81346875
transcript.pyannote[215].speaker SPEAKER_01
transcript.pyannote[215].start 608.88096875
transcript.pyannote[215].end 621.82409375
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 620.42346875
transcript.pyannote[216].end 622.04346875
transcript.pyannote[217].speaker SPEAKER_01
transcript.pyannote[217].start 622.04346875
transcript.pyannote[217].end 633.50159375
transcript.pyannote[218].speaker SPEAKER_01
transcript.pyannote[218].start 633.88971875
transcript.pyannote[218].end 637.73721875
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 640.67346875
transcript.pyannote[219].end 642.05721875
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 643.20471875
transcript.pyannote[220].end 643.30596875
transcript.pyannote[221].speaker SPEAKER_03
transcript.pyannote[221].start 644.92596875
transcript.pyannote[221].end 646.96784375
transcript.pyannote[222].speaker SPEAKER_03
transcript.pyannote[222].start 649.87034375
transcript.pyannote[222].end 651.57471875
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 654.98346875
transcript.pyannote[223].end 657.88596875
transcript.pyannote[224].speaker SPEAKER_03
transcript.pyannote[224].start 657.22784375
transcript.pyannote[224].end 657.63284375
transcript.pyannote[225].speaker SPEAKER_03
transcript.pyannote[225].start 658.13909375
transcript.pyannote[225].end 660.19784375
transcript.pyannote[226].speaker SPEAKER_03
transcript.pyannote[226].start 661.36221875
transcript.pyannote[226].end 663.20159375
transcript.pyannote[227].speaker SPEAKER_03
transcript.pyannote[227].start 664.26471875
transcript.pyannote[227].end 664.95659375
transcript.pyannote[228].speaker SPEAKER_03
transcript.pyannote[228].start 665.96909375
transcript.pyannote[228].end 666.91409375
transcript.pyannote[229].speaker SPEAKER_03
transcript.pyannote[229].start 669.10784375
transcript.pyannote[229].end 671.18346875
transcript.pyannote[230].speaker SPEAKER_03
transcript.pyannote[230].start 673.34346875
transcript.pyannote[230].end 673.71471875
transcript.pyannote[231].speaker SPEAKER_03
transcript.pyannote[231].start 674.92971875
transcript.pyannote[231].end 676.56659375
transcript.pyannote[232].speaker SPEAKER_03
transcript.pyannote[232].start 677.61284375
transcript.pyannote[232].end 679.28346875
transcript.pyannote[233].speaker SPEAKER_03
transcript.pyannote[233].start 679.67159375
transcript.pyannote[233].end 681.03846875
transcript.pyannote[234].speaker SPEAKER_03
transcript.pyannote[234].start 682.01721875
transcript.pyannote[234].end 683.13096875
transcript.pyannote[235].speaker SPEAKER_03
transcript.pyannote[235].start 683.99159375
transcript.pyannote[235].end 684.81846875
transcript.pyannote[236].speaker SPEAKER_03
transcript.pyannote[236].start 685.86471875
transcript.pyannote[236].end 687.13034375
transcript.pyannote[237].speaker SPEAKER_03
transcript.pyannote[237].start 688.29471875
transcript.pyannote[237].end 689.03721875
transcript.pyannote[238].speaker SPEAKER_03
transcript.pyannote[238].start 690.64034375
transcript.pyannote[238].end 695.55096875
transcript.pyannote[239].speaker SPEAKER_03
transcript.pyannote[239].start 696.51284375
transcript.pyannote[239].end 698.79096875
transcript.pyannote[240].speaker SPEAKER_03
transcript.pyannote[240].start 699.90471875
transcript.pyannote[240].end 701.33909375
transcript.pyannote[241].speaker SPEAKER_03
transcript.pyannote[241].start 702.21659375
transcript.pyannote[241].end 703.83659375
transcript.pyannote[242].speaker SPEAKER_03
transcript.pyannote[242].start 704.56221875
transcript.pyannote[242].end 705.30471875
transcript.pyannote[243].speaker SPEAKER_03
transcript.pyannote[243].start 705.82784375
transcript.pyannote[243].end 706.50284375
transcript.pyannote[244].speaker SPEAKER_03
transcript.pyannote[244].start 706.87409375
transcript.pyannote[244].end 707.46471875
transcript.pyannote[245].speaker SPEAKER_03
transcript.pyannote[245].start 708.84846875
transcript.pyannote[245].end 711.83534375
transcript.pyannote[246].speaker SPEAKER_03
transcript.pyannote[246].start 712.61159375
transcript.pyannote[246].end 713.80971875
transcript.pyannote[247].speaker SPEAKER_03
transcript.pyannote[247].start 714.31596875
transcript.pyannote[247].end 715.29471875
transcript.pyannote[248].speaker SPEAKER_03
transcript.pyannote[248].start 715.73346875
transcript.pyannote[248].end 716.61096875
transcript.pyannote[249].speaker SPEAKER_03
transcript.pyannote[249].start 717.64034375
transcript.pyannote[249].end 718.09596875
transcript.pyannote[250].speaker SPEAKER_00
transcript.pyannote[250].start 718.73721875
transcript.pyannote[250].end 719.04096875
transcript.pyannote[251].speaker SPEAKER_03
transcript.pyannote[251].start 719.58096875
transcript.pyannote[251].end 722.06159375
transcript.pyannote[252].speaker SPEAKER_00
transcript.pyannote[252].start 722.31471875
transcript.pyannote[252].end 723.27659375
transcript.pyannote[253].speaker SPEAKER_03
transcript.pyannote[253].start 723.31034375
transcript.pyannote[253].end 725.80784375
transcript.pyannote[254].speaker SPEAKER_03
transcript.pyannote[254].start 726.26346875
transcript.pyannote[254].end 728.30534375
transcript.pyannote[255].speaker SPEAKER_03
transcript.pyannote[255].start 728.74409375
transcript.pyannote[255].end 732.30471875
transcript.pyannote[256].speaker SPEAKER_03
transcript.pyannote[256].start 732.96284375
transcript.pyannote[256].end 733.97534375
transcript.pyannote[257].speaker SPEAKER_03
transcript.pyannote[257].start 734.90346875
transcript.pyannote[257].end 736.60784375
transcript.pyannote[258].speaker SPEAKER_03
transcript.pyannote[258].start 737.75534375
transcript.pyannote[258].end 738.49784375
transcript.pyannote[259].speaker SPEAKER_00
transcript.pyannote[259].start 738.81846875
transcript.pyannote[259].end 739.12221875
transcript.pyannote[260].speaker SPEAKER_01
transcript.pyannote[260].start 742.19346875
transcript.pyannote[260].end 743.32409375
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 744.47159375
transcript.pyannote[261].end 745.18034375
transcript.whisperx[0].start 9.001
transcript.whisperx[0].end 29.413
transcript.whisperx[0].text 謝謝主席,麻煩有請部長部長好,我想這份調查報告公布到現在,您從早上備詢到現在,我覺得你應該可以很清楚地感受到
transcript.whisperx[1].start 30.495
transcript.whisperx[1].end 57.671
transcript.whisperx[1].text 整個社會其實不僅僅是外環委員會這麼多委員來執行整個社會對這份調查報告是憤怒的是有沒有重啟調查的必要我會重啟調查什麼時候重啟調查當然馬上就重啟調查馬上就重啟調查我希望喔重啟調查了以後真的能夠還原事件的真相因為有太多的疑問到現在
transcript.whisperx[2].start 60.37
transcript.whisperx[2].end 86.447
transcript.whisperx[2].text 對於被害人對於整個社會都沒有一個清楚的交代因為我看完這份報告了以後我腦海裡面顯現了第一個問題這份報告說這個長官涉及職場霸凌情節重大但是在前面他就說這位不幸往生的同仁他沒有遭受到長官霸凌的情勢
transcript.whisperx[3].start 88.055
transcript.whisperx[3].end 110.447
transcript.whisperx[3].text 我看完了這份報告以後我不斷在思考調查小組做出來的調查結果這個分署長有霸凌但是這個往生的人沒有被霸凌所有被霸凌的人沒有人往生剛好是那個往生的人沒有被霸凌部長這個報告這樣的結論您能接受嗎
transcript.whisperx[4].start 115.526
transcript.whisperx[4].end 138.888
transcript.whisperx[4].text 委員這個部分我可以跟您解釋好嗎?就是其實是到報告裡面沒有寫清楚為什麼就是說在謝分署長跟那一個離開的同仁之間還隔著兩個主管就是傅分署長所以你的意思是說有其他的主管涉及霸凌嗎?也不可能因為這個霸凌的程序是你說得非常的好也不可能這個就是我直接跟你講嘛
transcript.whisperx[5].start 140.474
transcript.whisperx[5].end 156.69
transcript.whisperx[5].text 當你們已經認定出來這個分署長有霸凌的事實但大家看到你們認定的結果是這位不幸往生的同仁沒有被霸凌這是一個完全矛盾完全衝突調查報告的結論部長您同意嗎
transcript.whisperx[6].start 159.137
transcript.whisperx[6].end 187.259
transcript.whisperx[6].text 公務員報告因為這主要是外部專家他們在基於事實而去做的陳述那他們只就他們眼看到的、聽到的事實做他只說無法證實啦所以嘛所以這邊調查報告社會才會憤怒嘛所以你今天才會在這邊承認有重啟調查的必要嘛是嗎是好來除了不幸往生的事件以外喔
transcript.whisperx[7].start 189.107
transcript.whisperx[7].end 201.922
transcript.whisperx[7].text 我其他得到的檢舉齁,我們一樣樣來,他有沒有濫用公帑,宴請有人。這個部分我瞭解過了,應該是指一個今年6月有,我們政風處長在現場嗎?是,政風處長來回答好嗎?
transcript.whisperx[8].start 205.783
transcript.whisperx[8].end 231.69
transcript.whisperx[8].text 這個案子是東穎公所跟他們一個東永協會在5月份5月20號去拜訪北分署那北分因為這一個協會是北分署呢過去一直在埔島的多元就業的那個協會所以呢那個謝芬組長基於公宜呢那就在當天晚上有宴請花了多少錢總共在餐費部分大概是四萬兩千塊四萬兩千塊是
transcript.whisperx[9].start 234.271
transcript.whisperx[9].end 248.923
transcript.whisperx[9].text 從哪一個會計科目向下支出?那個會計科目我可能要再瞭解一個禮拜之內喔!把這件事情的原委寫清楚喔!我們這個會期在審查預算嘛!勞動部預算很多啊!很有錢啊!一個分署長請出去吃飯一頓就吃掉4萬多塊啊!
transcript.whisperx[10].start 260.748
transcript.whisperx[10].end 262.332
transcript.whisperx[10].text 有沒有在辦公室裡面裝軌道燈導致電費增加?
transcript.whisperx[11].start 267.904
transcript.whisperx[11].end 270.226
transcript.whisperx[11].text 需要多久?好,兩個禮拜,來接下來繼續請部長他上任以後
transcript.whisperx[12].start 296.704
transcript.whisperx[12].end 307.511
transcript.whisperx[12].text 浪花公堂送禮這件事情有沒有掌握?我們有看到資料你有看到資料嗎?這樣的請問你覺得適不適當?請問鄭鋒處長這個也是在我們調查的範圍裡一樣兩個禮拜嘛對這都是就是那一份的檢舉書裡面我們通通會調查來!裡面禮物有國會統籌運用統籌運用到哪裡知不知道?
transcript.whisperx[13].start 326.581
transcript.whisperx[13].end 353.398
transcript.whisperx[13].text 一樣兩個禮拜調查報告寫清楚這個都是在我們調查範圍內我一樣一樣問嘛我怕你調查報告到時候寫出來跟這份報告一樣嘛避重就輕嘛破綻百出嘛大家為什麼憤怒所以我一點一點跟你們講啊今天沒有答案沒有關係啊我今後兩個禮拜以後的調查報告啊再往下看公帑買的禮盒他自己可以留著喔
transcript.whisperx[14].start 358.166
transcript.whisperx[14].end 360.848
transcript.whisperx[14].text 我現在不是在討論事實是在討論規範規範需要調查
transcript.whisperx[15].start 388.658
transcript.whisperx[15].end 404.167
transcript.whisperx[15].text 他所謂公帑買的禮盒是他所謂送自己人是什麼因為不是啦分署長室自己留著這是你們我鎖是你們回給我的資料嘛他可以自己留著喔可以嗎他那個如果是用公帑買的那就是公務啦
transcript.whisperx[16].start 411.857
transcript.whisperx[16].end 414.238
transcript.whisperx[16].text 我當初我跟你講啦我所有所知都調出來了啦送給誰我要他一樣一樣列清楚啦
transcript.whisperx[17].start 430.086
transcript.whisperx[17].end 442.968
transcript.whisperx[17].text 這個就是他列不清楚的阿直接講說分署長自己留著阿一樣喔兩個禮拜之內報告所以我們會留寫他的流向到什麼地方去事情還沒有結束阿備用125份現在在哪裡一樣兩個禮拜之內寫清楚是堆在倉庫裡還是拿去隨便亂發東西在哪裡
transcript.whisperx[18].start 456.673
transcript.whisperx[18].end 473.996
transcript.whisperx[18].text 我看我們的勞動部很有錢啊有錢到這個程度啊分署長上來不僅官威很大錢也很會亂花拿公帑找設計師買禮物做自己的公關可以這樣幹喔這是這個分署長才幹的還是這是整個勞動部的文化來請部長
transcript.whisperx[19].start 484.382
transcript.whisperx[19].end 503.627
transcript.whisperx[19].text 這絕對不是勞動部的文絕對不是勞動部的文化嘛回去瞭解一下不要再有第二種這種長官出現了更可惡的事情是你知不知道他買禮品的錢從哪裡來的知不知道部長知道嗎請委員那個你們喔
transcript.whisperx[20].start 507.594
transcript.whisperx[20].end 525.684
transcript.whisperx[20].text 就是署裡面的同仁啊我已經跟你們所知了你們就要知道我一定會問這個問題就要幫部長準備好要不然部長站在上面也很辛苦他一定不知道嘛他為什麼會不知道因為匪夷所思嘛我為什麼說匪夷所思來
transcript.whisperx[21].start 528.851
transcript.whisperx[21].end 528.951
transcript.whisperx[21].text 怎麼核銷的?
transcript.whisperx[22].start 559.537
transcript.whisperx[22].end 587.188
transcript.whisperx[22].text 可以嗎?我想應該是不行你覺得應該不行嗎?後面還有更誇張的社群媒體標案可以拿社群媒體標案的錢因為太多啦花不完啦多到花不完還雲芝過來啊買禮物啊部長你覺得這個適合嗎?我想應該也是不適合也是不適合嘛更誇張的是促進銀髮就業青年就業專案也可以拿來送禮
transcript.whisperx[23].start 588.936
transcript.whisperx[23].end 603.213
transcript.whisperx[23].text 我相信啊!所有的立法委員在審預算的時候都不知道啊!勞動部跟立法院要預算是要促進營法就業、要青年就業計畫結果搞了半天拿來送禮喔!錢可以這樣花嗎?請教部長!
transcript.whisperx[24].start 607.25
transcript.whisperx[24].end 608.17
transcript.whisperx[24].text 要透過送旅盒來做廣宣喔?
transcript.whisperx[25].start 622.996
transcript.whisperx[25].end 625.737
transcript.whisperx[25].text 來,我們再往下看就業保險基金可以拿來送禮嗎?救保基金是拿來送禮的嗎?
transcript.whisperx[26].start 658.236
transcript.whisperx[26].end 682.692
transcript.whisperx[26].text 這個就是救保基金裡面的預算了113年來送端午節43萬我再往下看就業安定基金可以拿來送禮嗎?一樣中秋節38萬我看完了以後啊那個請一下部長好嗎?請一下部長這個會期啊
transcript.whisperx[27].start 685.936
transcript.whisperx[27].end 707.345
transcript.whisperx[27].text 要處理預算當我們看到錢這樣花的時候我相信所有的立法委員心裡在問一個問題我們當初通過這個預算的時候是要給這位分署長拿來買禮物做關係嗎我相信沒有立委會同意
transcript.whisperx[28].start 709.048
transcript.whisperx[28].end 723.634
transcript.whisperx[28].text 這些內容是不是可以承諾一併兩個禮拜之內的調查報告要寫清楚可以嗎?該移送檢調的就移送檢調這已經不是只有單純失職的問題了啦該移送檢調的移送檢調希望下一次兩個禮拜兩個禮拜以後出來的報告能夠回應社會這些問題
transcript.whisperx[29].start 737.793
transcript.whisperx[29].end 737.933
transcript.whisperx[29].text 黃國昌委員
IVOD_ID 157225
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/157225
日期 2024-11-20
會議資料.會議代碼 委員會-11-2-26-9
會議資料.屆 11
會議資料.會期 2
會議資料.會次 9
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.標題 第11屆第2會期社會福利及衛生環境委員會第9次全體委員會議
影片種類 Clip
開始時間 2024-11-20T15:02:18+08:00
結束時間 2024-11-20T15:14:43+08:00
支援功能[0] ai-transcript