IVOD_ID |
160432 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160432 |
日期 |
2025-04-22 |
會議資料.會議代碼 |
院會-11-3-8 |
會議資料.會議代碼:str |
第11屆第3會期第8次會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
8 |
會議資料.種類 |
院會 |
會議資料.標題 |
第11屆第3會期第8次會議 |
影片種類 |
Clip |
開始時間 |
2025-04-22T09:17:39+08:00 |
結束時間 |
2025-04-22T09:34:10+08:00 |
影片長度 |
00:16:31 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/dfcb33c81b5f4f3f0675b2ca40f787a275b01fba8380de05fb326c0d1c12ee0fc7ca98e9358032305ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
麥玉珍 |
委員發言時間 |
09:17:39 - 09:34:10 |
會議時間 |
2025-04-22T09:00:00+08:00 |
會議名稱 |
第11屆第3會期第8次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、4月18日上午9時至10時為國是論壇時間。三、4月22日下午2時15分至2時30分為處理臨時提案時間。) |
transcript.pyannote[0].speaker |
SPEAKER_01 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
0.82409375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
17.81721875 |
transcript.pyannote[1].end |
18.03659375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
18.20534375 |
transcript.pyannote[2].end |
20.44971875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
20.90534375 |
transcript.pyannote[3].end |
22.44096875 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
33.81471875 |
transcript.pyannote[4].end |
34.37159375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
34.77659375 |
transcript.pyannote[5].end |
35.58659375 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
36.34596875 |
transcript.pyannote[6].end |
41.15534375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
41.44221875 |
transcript.pyannote[7].end |
46.50471875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
46.77471875 |
transcript.pyannote[8].end |
49.94721875 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
50.80784375 |
transcript.pyannote[9].end |
51.51659375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
51.90471875 |
transcript.pyannote[10].end |
51.95534375 |
transcript.pyannote[11].speaker |
SPEAKER_01 |
transcript.pyannote[11].start |
51.95534375 |
transcript.pyannote[11].end |
52.03971875 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
52.03971875 |
transcript.pyannote[12].end |
53.77784375 |
transcript.pyannote[13].speaker |
SPEAKER_01 |
transcript.pyannote[13].start |
52.05659375 |
transcript.pyannote[13].end |
52.19159375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
54.40221875 |
transcript.pyannote[14].end |
54.63846875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
55.06034375 |
transcript.pyannote[15].end |
59.44784375 |
transcript.pyannote[16].speaker |
SPEAKER_01 |
transcript.pyannote[16].start |
59.92034375 |
transcript.pyannote[16].end |
73.38659375 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
74.06159375 |
transcript.pyannote[17].end |
75.17534375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
76.22159375 |
transcript.pyannote[18].end |
77.90909375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
76.37346875 |
transcript.pyannote[19].end |
76.66034375 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
77.94284375 |
transcript.pyannote[20].end |
92.64096875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
78.06096875 |
transcript.pyannote[21].end |
78.33096875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
94.00784375 |
transcript.pyannote[22].end |
101.85471875 |
transcript.pyannote[23].speaker |
SPEAKER_01 |
transcript.pyannote[23].start |
102.09096875 |
transcript.pyannote[23].end |
106.37721875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
105.21284375 |
transcript.pyannote[24].end |
105.82034375 |
transcript.pyannote[25].speaker |
SPEAKER_01 |
transcript.pyannote[25].start |
106.66409375 |
transcript.pyannote[25].end |
108.06471875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
106.83284375 |
transcript.pyannote[26].end |
111.69284375 |
transcript.pyannote[27].speaker |
SPEAKER_01 |
transcript.pyannote[27].start |
111.05159375 |
transcript.pyannote[27].end |
133.02284375 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
133.74846875 |
transcript.pyannote[28].end |
135.04784375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
135.25034375 |
transcript.pyannote[29].end |
141.44346875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
138.99659375 |
transcript.pyannote[30].end |
139.50284375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
140.76846875 |
transcript.pyannote[31].end |
142.27034375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
142.82721875 |
transcript.pyannote[32].end |
150.70784375 |
transcript.pyannote[33].speaker |
SPEAKER_01 |
transcript.pyannote[33].start |
146.37096875 |
transcript.pyannote[33].end |
156.25971875 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
150.97784375 |
transcript.pyannote[34].end |
152.05784375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
154.85909375 |
transcript.pyannote[35].end |
161.86221875 |
transcript.pyannote[36].speaker |
SPEAKER_01 |
transcript.pyannote[36].start |
158.52096875 |
transcript.pyannote[36].end |
167.02596875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
162.03096875 |
transcript.pyannote[37].end |
163.14471875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
167.02596875 |
transcript.pyannote[38].end |
167.41409375 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
167.41409375 |
transcript.pyannote[39].end |
168.83159375 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
167.43096875 |
transcript.pyannote[40].end |
168.76409375 |
transcript.pyannote[41].speaker |
SPEAKER_01 |
transcript.pyannote[41].start |
169.13534375 |
transcript.pyannote[41].end |
177.15096875 |
transcript.pyannote[42].speaker |
SPEAKER_01 |
transcript.pyannote[42].start |
177.60659375 |
transcript.pyannote[42].end |
188.00159375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
177.79221875 |
transcript.pyannote[43].end |
182.21346875 |
transcript.pyannote[44].speaker |
SPEAKER_01 |
transcript.pyannote[44].start |
188.64284375 |
transcript.pyannote[44].end |
194.34659375 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
190.78596875 |
transcript.pyannote[45].end |
194.92034375 |
transcript.pyannote[46].speaker |
SPEAKER_01 |
transcript.pyannote[46].start |
194.86971875 |
transcript.pyannote[46].end |
194.88659375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
194.92034375 |
transcript.pyannote[47].end |
202.09221875 |
transcript.pyannote[48].speaker |
SPEAKER_01 |
transcript.pyannote[48].start |
202.66596875 |
transcript.pyannote[48].end |
217.61721875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
218.44409375 |
transcript.pyannote[49].end |
226.67909375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
227.72534375 |
transcript.pyannote[50].end |
244.24596875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
245.30909375 |
transcript.pyannote[51].end |
247.80659375 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
249.29159375 |
transcript.pyannote[52].end |
292.67721875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
251.26596875 |
transcript.pyannote[53].end |
252.22784375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
255.78846875 |
transcript.pyannote[54].end |
256.07534375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
287.74971875 |
transcript.pyannote[55].end |
289.38659375 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
292.33971875 |
transcript.pyannote[56].end |
298.27971875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
298.06034375 |
transcript.pyannote[57].end |
304.43909375 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
298.41471875 |
transcript.pyannote[58].end |
300.94596875 |
transcript.pyannote[59].speaker |
SPEAKER_00 |
transcript.pyannote[59].start |
303.03846875 |
transcript.pyannote[59].end |
303.74721875 |
transcript.pyannote[60].speaker |
SPEAKER_00 |
transcript.pyannote[60].start |
304.43909375 |
transcript.pyannote[60].end |
309.21471875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
306.10971875 |
transcript.pyannote[61].end |
319.39034375 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
310.21034375 |
transcript.pyannote[62].end |
312.62346875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
313.46721875 |
transcript.pyannote[63].end |
315.47534375 |
transcript.pyannote[64].speaker |
SPEAKER_00 |
transcript.pyannote[64].start |
317.17971875 |
transcript.pyannote[64].end |
320.52096875 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
320.87534375 |
transcript.pyannote[65].end |
323.81159375 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
322.20846875 |
transcript.pyannote[66].end |
325.93784375 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
325.97159375 |
transcript.pyannote[67].end |
325.98846875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
326.12346875 |
transcript.pyannote[68].end |
332.43471875 |
transcript.pyannote[69].speaker |
SPEAKER_00 |
transcript.pyannote[69].start |
327.15284375 |
transcript.pyannote[69].end |
330.02159375 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
331.16909375 |
transcript.pyannote[70].end |
334.76346875 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
335.80971875 |
transcript.pyannote[71].end |
341.04096875 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
342.27284375 |
transcript.pyannote[72].end |
360.85221875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
360.98721875 |
transcript.pyannote[73].end |
364.58159375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
364.91909375 |
transcript.pyannote[74].end |
366.16784375 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
365.12159375 |
transcript.pyannote[75].end |
366.42096875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
367.02846875 |
transcript.pyannote[76].end |
368.93534375 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
369.45846875 |
transcript.pyannote[77].end |
369.86346875 |
transcript.pyannote[78].speaker |
SPEAKER_01 |
transcript.pyannote[78].start |
370.63971875 |
transcript.pyannote[78].end |
391.76721875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
381.25409375 |
transcript.pyannote[79].end |
382.65471875 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
384.52784375 |
transcript.pyannote[80].end |
387.81846875 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
390.34971875 |
transcript.pyannote[81].end |
393.25221875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
391.81784375 |
transcript.pyannote[82].end |
415.99971875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
405.67221875 |
transcript.pyannote[83].end |
405.68909375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
406.33034375 |
transcript.pyannote[84].end |
406.97159375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
407.25846875 |
transcript.pyannote[85].end |
408.72659375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
411.03846875 |
transcript.pyannote[86].end |
411.30846875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
411.54471875 |
transcript.pyannote[87].end |
413.60346875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
416.15159375 |
transcript.pyannote[88].end |
438.37596875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
422.59784375 |
transcript.pyannote[89].end |
430.09034375 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
436.16534375 |
transcript.pyannote[90].end |
436.60409375 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
437.85284375 |
transcript.pyannote[91].end |
445.91909375 |
transcript.pyannote[92].speaker |
SPEAKER_01 |
transcript.pyannote[92].start |
440.99159375 |
transcript.pyannote[92].end |
458.40659375 |
transcript.pyannote[93].speaker |
SPEAKER_01 |
transcript.pyannote[93].start |
458.57534375 |
transcript.pyannote[93].end |
459.45284375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
459.85784375 |
transcript.pyannote[94].end |
462.10221875 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
463.36784375 |
transcript.pyannote[95].end |
493.40534375 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
473.93159375 |
transcript.pyannote[96].end |
476.36159375 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
494.04659375 |
transcript.pyannote[97].end |
500.98221875 |
transcript.pyannote[98].speaker |
SPEAKER_01 |
transcript.pyannote[98].start |
501.28596875 |
transcript.pyannote[98].end |
502.85534375 |
transcript.pyannote[99].speaker |
SPEAKER_01 |
transcript.pyannote[99].start |
503.34471875 |
transcript.pyannote[99].end |
505.70721875 |
transcript.pyannote[100].speaker |
SPEAKER_01 |
transcript.pyannote[100].start |
508.81221875 |
transcript.pyannote[100].end |
510.16221875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
510.41534375 |
transcript.pyannote[101].end |
512.00159375 |
transcript.pyannote[102].speaker |
SPEAKER_01 |
transcript.pyannote[102].start |
515.10659375 |
transcript.pyannote[102].end |
517.92471875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
517.97534375 |
transcript.pyannote[103].end |
518.02596875 |
transcript.pyannote[104].speaker |
SPEAKER_01 |
transcript.pyannote[104].start |
518.11034375 |
transcript.pyannote[104].end |
519.00471875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
519.46034375 |
transcript.pyannote[105].end |
540.63846875 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
536.47034375 |
transcript.pyannote[106].end |
536.99346875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
541.02659375 |
transcript.pyannote[107].end |
545.19471875 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
545.53221875 |
transcript.pyannote[108].end |
562.00221875 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
559.79159375 |
transcript.pyannote[109].end |
561.96846875 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
562.60971875 |
transcript.pyannote[110].end |
575.31659375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
565.39409375 |
transcript.pyannote[111].end |
566.69346875 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
573.24096875 |
transcript.pyannote[112].end |
575.28284375 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
576.39659375 |
transcript.pyannote[113].end |
591.76971875 |
transcript.pyannote[114].speaker |
SPEAKER_01 |
transcript.pyannote[114].start |
592.29284375 |
transcript.pyannote[114].end |
603.73409375 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
604.24034375 |
transcript.pyannote[115].end |
613.85909375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
606.45096875 |
transcript.pyannote[116].end |
608.96534375 |
transcript.pyannote[117].speaker |
SPEAKER_00 |
transcript.pyannote[117].start |
609.67409375 |
transcript.pyannote[117].end |
612.74534375 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
613.99409375 |
transcript.pyannote[118].end |
650.84909375 |
transcript.pyannote[119].speaker |
SPEAKER_00 |
transcript.pyannote[119].start |
615.86721875 |
transcript.pyannote[119].end |
618.56721875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
619.39409375 |
transcript.pyannote[120].end |
620.84534375 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
628.86096875 |
transcript.pyannote[121].end |
630.83534375 |
transcript.pyannote[122].speaker |
SPEAKER_01 |
transcript.pyannote[122].start |
651.47346875 |
transcript.pyannote[122].end |
731.51159375 |
transcript.pyannote[123].speaker |
SPEAKER_01 |
transcript.pyannote[123].start |
731.74784375 |
transcript.pyannote[123].end |
744.26909375 |
transcript.pyannote[124].speaker |
SPEAKER_01 |
transcript.pyannote[124].start |
744.65721875 |
transcript.pyannote[124].end |
761.39721875 |
transcript.pyannote[125].speaker |
SPEAKER_01 |
transcript.pyannote[125].start |
761.54909375 |
transcript.pyannote[125].end |
794.62409375 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
794.62409375 |
transcript.pyannote[126].end |
802.82534375 |
transcript.pyannote[127].speaker |
SPEAKER_01 |
transcript.pyannote[127].start |
802.87596875 |
transcript.pyannote[127].end |
805.91346875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
805.91346875 |
transcript.pyannote[128].end |
807.02721875 |
transcript.pyannote[129].speaker |
SPEAKER_01 |
transcript.pyannote[129].start |
805.94721875 |
transcript.pyannote[129].end |
806.74034375 |
transcript.pyannote[130].speaker |
SPEAKER_01 |
transcript.pyannote[130].start |
807.02721875 |
transcript.pyannote[130].end |
811.34721875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
807.06096875 |
transcript.pyannote[131].end |
811.54971875 |
transcript.pyannote[132].speaker |
SPEAKER_01 |
transcript.pyannote[132].start |
811.48221875 |
transcript.pyannote[132].end |
818.75534375 |
transcript.pyannote[133].speaker |
SPEAKER_01 |
transcript.pyannote[133].start |
819.27846875 |
transcript.pyannote[133].end |
820.34159375 |
transcript.pyannote[134].speaker |
SPEAKER_01 |
transcript.pyannote[134].start |
820.76346875 |
transcript.pyannote[134].end |
824.22284375 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
822.34971875 |
transcript.pyannote[135].end |
823.51409375 |
transcript.pyannote[136].speaker |
SPEAKER_00 |
transcript.pyannote[136].start |
823.58159375 |
transcript.pyannote[136].end |
827.04096875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
827.96909375 |
transcript.pyannote[137].end |
832.15409375 |
transcript.pyannote[138].speaker |
SPEAKER_01 |
transcript.pyannote[138].start |
832.57596875 |
transcript.pyannote[138].end |
843.25784375 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
832.89659375 |
transcript.pyannote[139].end |
833.63909375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
834.41534375 |
transcript.pyannote[140].end |
834.90471875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
835.39409375 |
transcript.pyannote[141].end |
836.98034375 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
840.59159375 |
transcript.pyannote[142].end |
841.41846875 |
transcript.pyannote[143].speaker |
SPEAKER_01 |
transcript.pyannote[143].start |
843.49409375 |
transcript.pyannote[143].end |
847.24034375 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
843.54471875 |
transcript.pyannote[144].end |
845.56971875 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
846.59909375 |
transcript.pyannote[145].end |
849.51846875 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
849.72096875 |
transcript.pyannote[146].end |
852.74159375 |
transcript.pyannote[147].speaker |
SPEAKER_01 |
transcript.pyannote[147].start |
851.83034375 |
transcript.pyannote[147].end |
865.31346875 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
858.24284375 |
transcript.pyannote[148].end |
858.96846875 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
861.21284375 |
transcript.pyannote[149].end |
861.58409375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
862.52909375 |
transcript.pyannote[150].end |
864.08159375 |
transcript.pyannote[151].speaker |
SPEAKER_00 |
transcript.pyannote[151].start |
865.58346875 |
transcript.pyannote[151].end |
867.81096875 |
transcript.pyannote[152].speaker |
SPEAKER_01 |
transcript.pyannote[152].start |
865.70159375 |
transcript.pyannote[152].end |
869.73471875 |
transcript.pyannote[153].speaker |
SPEAKER_01 |
transcript.pyannote[153].start |
870.64596875 |
transcript.pyannote[153].end |
874.18971875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
871.30409375 |
transcript.pyannote[154].end |
872.16471875 |
transcript.pyannote[155].speaker |
SPEAKER_01 |
transcript.pyannote[155].start |
874.42596875 |
transcript.pyannote[155].end |
888.93846875 |
transcript.pyannote[156].speaker |
SPEAKER_00 |
transcript.pyannote[156].start |
877.64909375 |
transcript.pyannote[156].end |
879.70784375 |
transcript.pyannote[157].speaker |
SPEAKER_00 |
transcript.pyannote[157].start |
881.04096875 |
transcript.pyannote[157].end |
883.84221875 |
transcript.pyannote[158].speaker |
SPEAKER_00 |
transcript.pyannote[158].start |
884.53409375 |
transcript.pyannote[158].end |
886.18784375 |
transcript.pyannote[159].speaker |
SPEAKER_00 |
transcript.pyannote[159].start |
887.95971875 |
transcript.pyannote[159].end |
890.79471875 |
transcript.pyannote[160].speaker |
SPEAKER_01 |
transcript.pyannote[160].start |
890.96346875 |
transcript.pyannote[160].end |
902.59034375 |
transcript.pyannote[161].speaker |
SPEAKER_00 |
transcript.pyannote[161].start |
891.68909375 |
transcript.pyannote[161].end |
893.15721875 |
transcript.pyannote[162].speaker |
SPEAKER_00 |
transcript.pyannote[162].start |
894.08534375 |
transcript.pyannote[162].end |
896.73471875 |
transcript.pyannote[163].speaker |
SPEAKER_00 |
transcript.pyannote[163].start |
897.22409375 |
transcript.pyannote[163].end |
898.50659375 |
transcript.pyannote[164].speaker |
SPEAKER_00 |
transcript.pyannote[164].start |
901.05471875 |
transcript.pyannote[164].end |
905.57721875 |
transcript.pyannote[165].speaker |
SPEAKER_01 |
transcript.pyannote[165].start |
905.02034375 |
transcript.pyannote[165].end |
908.24346875 |
transcript.pyannote[166].speaker |
SPEAKER_01 |
transcript.pyannote[166].start |
909.42471875 |
transcript.pyannote[166].end |
912.79971875 |
transcript.pyannote[167].speaker |
SPEAKER_00 |
transcript.pyannote[167].start |
912.02346875 |
transcript.pyannote[167].end |
915.26346875 |
transcript.pyannote[168].speaker |
SPEAKER_01 |
transcript.pyannote[168].start |
913.08659375 |
transcript.pyannote[168].end |
917.94659375 |
transcript.pyannote[169].speaker |
SPEAKER_01 |
transcript.pyannote[169].start |
918.38534375 |
transcript.pyannote[169].end |
920.71409375 |
transcript.pyannote[170].speaker |
SPEAKER_01 |
transcript.pyannote[170].start |
920.95034375 |
transcript.pyannote[170].end |
924.40971875 |
transcript.pyannote[171].speaker |
SPEAKER_01 |
transcript.pyannote[171].start |
924.51096875 |
transcript.pyannote[171].end |
927.32909375 |
transcript.pyannote[172].speaker |
SPEAKER_00 |
transcript.pyannote[172].start |
927.80159375 |
transcript.pyannote[172].end |
929.42159375 |
transcript.pyannote[173].speaker |
SPEAKER_01 |
transcript.pyannote[173].start |
927.80159375 |
transcript.pyannote[173].end |
938.07846875 |
transcript.pyannote[174].speaker |
SPEAKER_00 |
transcript.pyannote[174].start |
931.80096875 |
transcript.pyannote[174].end |
931.98659375 |
transcript.pyannote[175].speaker |
SPEAKER_01 |
transcript.pyannote[175].start |
942.44909375 |
transcript.pyannote[175].end |
949.08096875 |
transcript.pyannote[176].speaker |
SPEAKER_01 |
transcript.pyannote[176].start |
949.45221875 |
transcript.pyannote[176].end |
955.03784375 |
transcript.pyannote[177].speaker |
SPEAKER_01 |
transcript.pyannote[177].start |
955.13909375 |
transcript.pyannote[177].end |
957.31596875 |
transcript.pyannote[178].speaker |
SPEAKER_01 |
transcript.pyannote[178].start |
957.53534375 |
transcript.pyannote[178].end |
960.45471875 |
transcript.pyannote[179].speaker |
SPEAKER_00 |
transcript.pyannote[179].start |
957.92346875 |
transcript.pyannote[179].end |
958.02471875 |
transcript.pyannote[180].speaker |
SPEAKER_00 |
transcript.pyannote[180].start |
958.78409375 |
transcript.pyannote[180].end |
958.96971875 |
transcript.pyannote[181].speaker |
SPEAKER_00 |
transcript.pyannote[181].start |
959.03721875 |
transcript.pyannote[181].end |
959.07096875 |
transcript.pyannote[182].speaker |
SPEAKER_01 |
transcript.pyannote[182].start |
960.85971875 |
transcript.pyannote[182].end |
964.70721875 |
transcript.pyannote[183].speaker |
SPEAKER_00 |
transcript.pyannote[183].start |
961.65284375 |
transcript.pyannote[183].end |
962.02409375 |
transcript.pyannote[184].speaker |
SPEAKER_00 |
transcript.pyannote[184].start |
963.84659375 |
transcript.pyannote[184].end |
964.35284375 |
transcript.pyannote[185].speaker |
SPEAKER_00 |
transcript.pyannote[185].start |
964.90971875 |
transcript.pyannote[185].end |
968.14971875 |
transcript.pyannote[186].speaker |
SPEAKER_01 |
transcript.pyannote[186].start |
966.46221875 |
transcript.pyannote[186].end |
974.91659375 |
transcript.pyannote[187].speaker |
SPEAKER_00 |
transcript.pyannote[187].start |
968.57159375 |
transcript.pyannote[187].end |
968.62221875 |
transcript.pyannote[188].speaker |
SPEAKER_01 |
transcript.pyannote[188].start |
974.96721875 |
transcript.pyannote[188].end |
977.86971875 |
transcript.pyannote[189].speaker |
SPEAKER_00 |
transcript.pyannote[189].start |
982.40909375 |
transcript.pyannote[189].end |
983.62409375 |
transcript.pyannote[190].speaker |
SPEAKER_00 |
transcript.pyannote[190].start |
984.02909375 |
transcript.pyannote[190].end |
988.11284375 |
transcript.pyannote[191].speaker |
SPEAKER_00 |
transcript.pyannote[191].start |
989.63159375 |
transcript.pyannote[191].end |
991.47096875 |
transcript.whisperx[0].start |
0.249 |
transcript.whisperx[0].end |
20.036 |
transcript.whisperx[0].text |
請準備謝謝院長有請卓院長麻煩再請卓院長備詢 |
transcript.whisperx[1].start |
33.954 |
transcript.whisperx[1].end |
53.442 |
transcript.whisperx[1].text |
院長好我有一個問題是帶民眾請教你的如果你孩子和你要十萬元去吃一頓牛排你會馬上給他還是會詢問他我會問他什麼事多少人去哪裡 |
transcript.whisperx[2].start |
55.085 |
transcript.whisperx[2].end |
72.093 |
transcript.whisperx[2].text |
很好所以我再請教一下行政院如果你是說要問他我們也會去問你一樣的道理所以總預算也是一樣的所以再請教你是不是負責編列預算及執行計畫的職責是嗎 行政院 |
transcript.whisperx[3].start |
76.418 |
transcript.whisperx[3].end |
92.33 |
transcript.whisperx[3].text |
行政院整個部會立法院是不是要負責為人民把關審查我們的預算好看錢有沒有亂花有沒有花在刀口上該不該給是不是要多少立法院 |
transcript.whisperx[4].start |
94.022 |
transcript.whisperx[4].end |
117.624 |
transcript.whisperx[4].text |
不是都聽你的 你拿過來我們就馬上給跟你給孩子一樣 一定要問為什麼 是嗎對不對 跟誰去嘛 花什麼嘛 是不是你剛才有說嘛所以你拿行政院編訂預算 立法院審議預算 這是憲法所定的沒錯 所以跟我們人民在委託我問你的一樣的道理 這樣子的邏輯 |
transcript.whisperx[5].start |
119.065 |
transcript.whisperx[5].end |
141.121 |
transcript.whisperx[5].text |
所以我們就合理合法的就是要請我們各個部會這麼的簡單而已就是你們要來跟我們是要審查預算所以我們要的就是要問要說明所以呢我們就是要溝通才會知道要不要給嘛 是不是 |
transcript.whisperx[6].start |
142.898 |
transcript.whisperx[6].end |
168.585 |
transcript.whisperx[6].text |
小愛回答我說她要一百個人去做一件非常對她的公司我說踏一頓喔不要去解釋那個所以我們立法院要刪除的預算我們會跟她說我先凍結百分之七十妳吃到百分之三十的時候再跟我要啊我們立法院凍結是人民的錢嗎我可能跟她講妳吃到百分之三十的時候再回來跟我要 |
transcript.whisperx[7].start |
169.465 |
transcript.whisperx[7].end |
187.795 |
transcript.whisperx[7].text |
問你就是我們百分之三十因為問了我們不知道他做什麼所以給他七十對啊對不對你說的對嘛我們問了你們要吃牛排我給你七十趴了嘛你真的吃牛排回來跟我講我才吃跟你 |
transcript.whisperx[8].start |
188.715 |
transcript.whisperx[8].end |
217.15 |
transcript.whisperx[8].text |
在補嘛 在解凍嘛 這樣子那麼簡單的邏輯而已啊所以我們是 如果你覺得這樣我們現在全部我們立法院刪除的不是人民的費用所以你要在各個地方 你用立法我們立法院這邊的預算 你用行政院的身份到處去招搖 所以我們 我要敢問你 |
transcript.whisperx[9].start |
218.533 |
transcript.whisperx[9].end |
247.602 |
transcript.whisperx[9].text |
我們113個立委在8個部會裡面去審所有的預算全部各部會的預算你有每一個一個去看嗎我們要幫你把關我們希望這個預算劃在刀口上萬一他們出事情你敢對全國的人民發誓只要各個部會有爭議我行政院長全部負責敢不敢 |
transcript.whisperx[10].start |
249.366 |
transcript.whisperx[10].end |
277.423 |
transcript.whisperx[10].text |
你敢不敢嘛因為我們是幫你把關希望我們這個預算花在刀口上對不對不是我們要刪預算我們做任何事情我們就是因為你知道他們的預算我們省預算我在基層我們都有省的民間團體的預算都有起源目的執行我們要怎麼樣到效果但是我們這邊沒有 |
transcript.whisperx[11].start |
278.664 |
transcript.whisperx[11].end |
289.257 |
transcript.whisperx[11].text |
完全去改113年的計畫沒有任何的創意也沒有任何的改變就送過來了所以我們看到的都是三個都是吃喝玩樂的我們有2,806億的新增預算委員怎麼可以說我們是改113年的計畫呢 |
transcript.whisperx[12].start |
298.168 |
transcript.whisperx[12].end |
310.574 |
transcript.whisperx[12].text |
沒錯我看到的計畫是這樣改了都是13年的大部分都是改所以你要去看的你有沒有錢不看還是你聽說我們是真真的去看你有沒有去看全部夠不壞的預算所以真的院長 |
transcript.whisperx[13].start |
320.919 |
transcript.whisperx[13].end |
323.542 |
transcript.whisperx[13].text |
館長 你要記得才能為人民發聲 你記錯就發錯聲音啊院長 你知道為什麼我上次問你說你眼鏡有沒有我 |
transcript.whisperx[14].start |
342.332 |
transcript.whisperx[14].end |
367.964 |
transcript.whisperx[14].text |
的意思嗎我問你說你的眼睛沒有我的意思說什麼是你說目中無人你的心目中沒有百姓你要跟百姓交代不是回去跟家人交代所以我的意思是這樣所以現在我要請我們我們卓院長你把手摸在你的胸口上你感受一下它是冰的還是涼的溫的 |
transcript.whisperx[15].start |
370.88 |
transcript.whisperx[15].end |
383.248 |
transcript.whisperx[15].text |
問的表示你還有良心所以呢我們希望你要去不要說你都是聽別人說你要自己來去所以會不會經委員說113年有我們2,806億的薪政預算嗎 |
transcript.whisperx[16].start |
388.331 |
transcript.whisperx[16].end |
407.924 |
transcript.whisperx[16].text |
所以說我今天更失望的是說你總統賴總統把整個國家的部會交給你來去管理讓你要去溝通但是現在呢把我們台灣變成國際的消化還有我們的國安的問題還有我們賴總統的安危你有沒有考慮在我們的總統的身邊 |
transcript.whisperx[17].start |
416.289 |
transcript.whisperx[17].end |
419.151 |
transcript.whisperx[17].text |
這樣子你要去檢討啊不是要來去對應我們要的不是對應諮詢我們要的是有效果如何去把我們台灣的政策和國立民三黨要合作如何去把大家去融合這個才是我們要的行政院長 |
transcript.whisperx[18].start |
437.782 |
transcript.whisperx[18].end |
461.439 |
transcript.whisperx[18].text |
合作的前提是要把事實看清楚如果委員一直不懂我們2806一直在競爭預算那我沒有辦法跟這樣合作啊現在更失望的是你眼睛也看不到你心也感受不到我們有一句誠意我不知道怎麼講 你自己去體會好 所以說我接下來呢因為我真的接下來我要問你的我們在113年我們的 |
transcript.whisperx[19].start |
463.427 |
transcript.whisperx[19].end |
477.256 |
transcript.whisperx[19].text |
立法院已經通過三途通過新住民基本法到現在我還沒有看到我們的職責所以我們明確我們有行政院的職責是要籌備我們的新住民發展署但是到現在我還沒有看到一個字所以我們行政的部門現在如何怎麼去執行因為我要公文過去跟內政部 |
transcript.whisperx[20].start |
494.108 |
transcript.whisperx[20].end |
505.62 |
transcript.whisperx[20].text |
移民索要但是到现在为止我们看到的是这样会议记录是机密吗经费也是机密吗所以完全回我的公文是这样可以看一下公文写的是这样 |
transcript.whisperx[21].start |
515.531 |
transcript.whisperx[21].end |
540.236 |
transcript.whisperx[21].text |
所以說這個公文我們看到的就是說我在2月10號還有2月14號兩個發文進度在哪裡我沒有看到所以說我們部長可以回我一下說回復的態度還有回復這樣的問題是你指令的嗎所以完全我沒有看到說我們現在的進度在哪裡 |
transcript.whisperx[22].start |
541.216 |
transcript.whisperx[22].end |
561.257 |
transcript.whisperx[22].text |
報告委員我們到目前為止已經開過16次的會議裡面包括原則上開的整體的會議的時候是6次然後工作層級的會議是10次我們盤點出來包括內政部包括移民署包括新住民署還有相關的其他部會要跟著做改變的部分三次你們有用我的時間嗎 |
transcript.whisperx[23].start |
562.398 |
transcript.whisperx[23].end |
563.639 |
transcript.whisperx[23].text |
這個是移民署移民署內政部回我這樣所以你有看過嗎 你知道嗎我們按照全責的分配全責的分配這個是機密嗎 |
transcript.whisperx[24].start |
576.428 |
transcript.whisperx[24].end |
602.4 |
transcript.whisperx[24].text |
沒有經歷吧 你講的頭頭是道嘛所以大家都在開會 都在這樣但是呢 我們已經立法三讀通過了我們依法行政嘛 你說依法行政嘛但是我們沒有看到啊 對不對連說你說籌備新聞 你說籌備處沒有去執行 怎麼會籌備呢連快一年了 九個月了 一個籌備處啊 沒看到的東西 |
transcript.whisperx[25].start |
604.281 |
transcript.whisperx[25].end |
605.463 |
transcript.whisperx[25].text |
我們本來就有籌備處 籌備處等來有設立了嗎有設立了嗎 有成立了嗎 還是用說的籌備處本來就有了 是我們的常務制度 |
transcript.whisperx[26].start |
619.338 |
transcript.whisperx[26].end |
638.651 |
transcript.whisperx[26].text |
我們新住民基本法在立法院通過之後我們的吳唐安吳長次就已經是籌備處在做執行秘書的工作但是我新聞裡面沒有看到所以呢我希望我們現在要的就是我看我是要的就是說設立一個專責機構 |
transcript.whisperx[27].start |
641.293 |
transcript.whisperx[27].end |
656.032 |
transcript.whisperx[27].text |
是不是行政機構的法定的責任呢因為我們法律已經通過了是否就是在此向我們新住民向大家承諾三個月內三個月內我們內政部完成新住民發展圖的籌備規劃對外公開 |
transcript.whisperx[28].start |
659.176 |
transcript.whisperx[28].end |
663.699 |
transcript.whisperx[28].text |
透明的有進度的我們想要的就是明確初步的組織草案或者紮構的設計但是我現在都沒有看到所以我們院長今天也在這邊也要幫新住民解決的問題而法律已經通過了政府必須依法行政新住民在台灣已經落實已經生根希望我們就在這邊 |
transcript.whisperx[29].start |
685.851 |
transcript.whisperx[29].end |
688.052 |
transcript.whisperx[29].text |
不只是生活為了整個台灣參加社會還有說我們也是國家的重要的一份子我們是家人不是敵人也是因為這樣子的機關我們希望透過這樣子的可以為台灣 |
transcript.whisperx[30].start |
704.243 |
transcript.whisperx[30].end |
708.587 |
transcript.whisperx[30].text |
去做一個連結做個溝通關於權益 語言 教育還有經濟的發展就業法律的等等我們希望我們是學以致用我們要求的就是可以在三個月內真的 真正的去成立一個籌備處我們要求的是新住民發展署但是已經九個月了 |
transcript.whisperx[31].start |
730.506 |
transcript.whisperx[31].end |
742.014 |
transcript.whisperx[31].text |
從別處的開幕或者啟動都沒有我們也看不到你也沒有給我們所以呢你說你開會用什麼來開會用什麼部會來開會也是有限吧越開越不會就叫開會嗎對不對所以我們希望在 |
transcript.whisperx[32].start |
751.4 |
transcript.whisperx[32].end |
767.454 |
transcript.whisperx[32].text |
這一筆預算裡面我們也沒有看到114年也沒有看到所以我們希望你真正的去編列也真正的讓大家各個公務人員他有職責的工作關於這個工作你要編列預算讓他們去執行 |
transcript.whisperx[33].start |
768.635 |
transcript.whisperx[33].end |
790.046 |
transcript.whisperx[33].text |
你完全沒有編列又叫他們去做所以就看不到一個效果出來所以我們希望我們院長我們跟我們的部長我們兩位跟我們全國的新住民去承諾說我們是不是在三個月內這個籌備處正式啟動怎麼樣去執行我們再來共同來去努力好嗎報告委員 |
transcript.whisperx[34].start |
796.169 |
transcript.whisperx[34].end |
810.602 |
transcript.whisperx[34].text |
行政院現在經費的結局 籌備處成立是不會舉行盛大的開幕典禮的這個從來沒有過啦他說 上次那個內政部長說的他說他會在籌備處要去成立但是沒有公開 但是什麼時候成立啊要有一個日期 有一個承諾吧 |
transcript.whisperx[35].start |
819.329 |
transcript.whisperx[35].end |
825.672 |
transcript.whisperx[35].text |
有一個進度嘛,不然就是用講的啊,用講大家也會笑啊體育部的籌備處,妳也沒有參加過開幕典禮啊誰?體育部的籌備處也開始了,但是也沒有開幕典禮啊對啊沒有,是他說他會有開幕啊所以我們不管有沒有開幕,我要的是要有何時何日,哪一天 |
transcript.whisperx[36].start |
843.622 |
transcript.whisperx[36].end |
862.138 |
transcript.whisperx[36].text |
是這樣而已 我們院長可以跟大家承諾嗎委員只是看不到內政部同仁在這裡的努力對新住民的權益各種他們已經研究了很多沒有否定他的努力才會去問他做了什麼嘛才要教他編列預算嘛所以這個籌備數他沒有成立又沒有編列預算什麼叫做否認啊你才是否認大家的努力我問你啊 我們2014年到現在已經四個月了 |
transcript.whisperx[37].start |
870.72 |
transcript.whisperx[37].end |
885.567 |
transcript.whisperx[37].text |
所以大家 你說凍結預算所以大家在做什麼 吹冷氣吃便當嗎所以你否定大家的功勞啊對不對 大家都有在做事情所以我們要進度 要進度不是只是一個紙上糖冰好不好 我願意不要誣衊公務員好不好 |
transcript.whisperx[38].start |
890.97 |
transcript.whisperx[38].end |
899.575 |
transcript.whisperx[38].text |
我沒有忽略啊 我講的是說大家的功勞叫你不要否定大家的功勞要該給的一算 該要編的要編但是我們沒有看到所以我是要要你明確一個日期嘛 |
transcript.whisperx[39].start |
909.628 |
transcript.whisperx[39].end |
937.022 |
transcript.whisperx[39].text |
又做又做 每天都沒做 我這個月我也做有很多籌備署的委員在工作就到民國幾年也不知道就是因為了一件事情 是這樣嗎我們行政院的行政機構是這樣子嗎一件事情做到沒完沒了這樣子嗎沒有嘛 對不對 我們要明確的一個時間跟日期還有關於我們放棄國籍的部分我們也希望我們內政部長這一邊 |
transcript.whisperx[40].start |
939.763 |
transcript.whisperx[40].end |
959.648 |
transcript.whisperx[40].text |
因為新住民他們不管外配還是外配一致同仁要放棄國籍像我們要放棄國籍才能領身分證若非要放棄那個國籍你們要求的不是他們要求的放棄了才能領身分證不要到最後再來跟大家爽戰 |
transcript.whisperx[41].start |
982.417 |
transcript.whisperx[41].end |
987.939 |
transcript.whisperx[41].text |
我們要求公平平等一致同仁要求的是只有這樣子而已其他我們是很守本分的依法行政只要要求我們他進台灣一步我們就依法行政依政府的規定好 謝謝好 謝謝麥義貞委員子訊謝謝左院長 劉部長備詢 謝謝 |
transcript.whisperx[42].start |
989.71 |
transcript.whisperx[42].end |
991.257 |
transcript.whisperx[42].text |
接下來請翁曉林委員 |