IVOD_ID |
158625 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/158625 |
日期 |
2025-01-02 |
會議資料.會議代碼 |
委員會-11-2-15-20 |
會議資料.會議代碼:str |
第11屆第2會期內政委員會第20次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
20 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
15 |
會議資料.委員會代碼:str[0] |
內政委員會 |
會議資料.標題 |
第11屆第2會期內政委員會第20次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-01-02T11:13:22+08:00 |
結束時間 |
2025-01-02T11:23:23+08:00 |
影片長度 |
00:10:01 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/186d177ad48e30e5082ec3acfd6f684bf82bf49b3fbaf4a5671cb7f8abfc27fffb433ea9b5ad6db25ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
葉元之 |
委員發言時間 |
11:13:22 - 11:23:23 |
會議時間 |
2025-01-02T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期內政委員會第20次全體委員會議(事由:一、請行政院秘書長率同所屬,就行政院所屬人員涉嫌霸凌案件處置情形專題報告並備質詢。二、繼續審查114年度中央政府總預算案關於行政院部分。三、繼續審查114年度中央政府總預算案關於大陸委員會單位預算。四、繼續審查大陸委員會函送財團法人海峽交流基金會114年度預算書案。五、繼續審查大陸委員會函送財團法人臺港經濟文化合作策進會114年度預算書案。
備註:本次會議開會時間為上午9時至議程處理完竣) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
0.21659375 |
transcript.pyannote[0].end |
1.97159375 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
2.25846875 |
transcript.pyannote[1].end |
3.65909375 |
transcript.pyannote[2].speaker |
SPEAKER_01 |
transcript.pyannote[2].start |
7.50659375 |
transcript.pyannote[2].end |
8.04659375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
8.08034375 |
transcript.pyannote[3].end |
24.28034375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
24.90471875 |
transcript.pyannote[4].end |
25.93409375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
25.93409375 |
transcript.pyannote[5].end |
26.59221875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
26.25471875 |
transcript.pyannote[6].end |
41.05409375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
42.16784375 |
transcript.pyannote[7].end |
43.16346875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
43.24784375 |
transcript.pyannote[8].end |
46.74096875 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
48.29346875 |
transcript.pyannote[9].end |
52.15784375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
51.02721875 |
transcript.pyannote[10].end |
55.09409375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
55.63409375 |
transcript.pyannote[11].end |
56.10659375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
56.59596875 |
transcript.pyannote[12].end |
57.54096875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
57.99659375 |
transcript.pyannote[13].end |
59.51534375 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
58.16534375 |
transcript.pyannote[14].end |
58.68846875 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
58.72221875 |
transcript.pyannote[15].end |
62.92409375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
61.99596875 |
transcript.pyannote[16].end |
65.13471875 |
transcript.pyannote[17].speaker |
SPEAKER_01 |
transcript.pyannote[17].start |
65.60721875 |
transcript.pyannote[17].end |
66.28221875 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
66.46784375 |
transcript.pyannote[18].end |
69.03284375 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
69.03284375 |
transcript.pyannote[19].end |
76.42409375 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
69.48846875 |
transcript.pyannote[20].end |
70.01159375 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
77.01471875 |
transcript.pyannote[21].end |
78.38159375 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
78.38159375 |
transcript.pyannote[22].end |
78.71909375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
78.75284375 |
transcript.pyannote[23].end |
78.76971875 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
78.80346875 |
transcript.pyannote[24].end |
98.36159375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
99.28971875 |
transcript.pyannote[25].end |
101.66909375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
102.58034375 |
transcript.pyannote[26].end |
103.00221875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
103.82909375 |
transcript.pyannote[27].end |
138.76034375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
138.91221875 |
transcript.pyannote[28].end |
140.16096875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
140.39721875 |
transcript.pyannote[29].end |
145.17284375 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
145.42596875 |
transcript.pyannote[30].end |
145.88159375 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
146.74221875 |
transcript.pyannote[31].end |
149.18909375 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
149.42534375 |
transcript.pyannote[32].end |
150.10034375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
150.25221875 |
transcript.pyannote[33].end |
153.10409375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
154.72409375 |
transcript.pyannote[34].end |
155.29784375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
155.65221875 |
transcript.pyannote[35].end |
157.62659375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
158.14971875 |
transcript.pyannote[36].end |
159.88784375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
160.56284375 |
transcript.pyannote[37].end |
165.45659375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
166.13159375 |
transcript.pyannote[38].end |
167.41409375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
168.05534375 |
transcript.pyannote[39].end |
169.54034375 |
transcript.pyannote[40].speaker |
SPEAKER_01 |
transcript.pyannote[40].start |
170.53596875 |
transcript.pyannote[40].end |
172.03784375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
172.03784375 |
transcript.pyannote[41].end |
179.44596875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
179.56409375 |
transcript.pyannote[42].end |
181.62284375 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
179.66534375 |
transcript.pyannote[43].end |
179.86784375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
182.14596875 |
transcript.pyannote[44].end |
183.86721875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
184.45784375 |
transcript.pyannote[45].end |
187.07346875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
187.78221875 |
transcript.pyannote[46].end |
188.33909375 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
191.30909375 |
transcript.pyannote[47].end |
192.94596875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
192.94596875 |
transcript.pyannote[48].end |
196.64159375 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
194.46471875 |
transcript.pyannote[49].end |
194.48159375 |
transcript.pyannote[50].speaker |
SPEAKER_01 |
transcript.pyannote[50].start |
194.58284375 |
transcript.pyannote[50].end |
194.88659375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
196.99596875 |
transcript.pyannote[51].end |
203.72909375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
204.60659375 |
transcript.pyannote[52].end |
209.33159375 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
209.71971875 |
transcript.pyannote[53].end |
216.25034375 |
transcript.pyannote[54].speaker |
SPEAKER_00 |
transcript.pyannote[54].start |
217.51596875 |
transcript.pyannote[54].end |
218.88284375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
219.01784375 |
transcript.pyannote[55].end |
224.67096875 |
transcript.pyannote[56].speaker |
SPEAKER_00 |
transcript.pyannote[56].start |
225.24471875 |
transcript.pyannote[56].end |
235.79159375 |
transcript.pyannote[57].speaker |
SPEAKER_00 |
transcript.pyannote[57].start |
236.97284375 |
transcript.pyannote[57].end |
239.11596875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
239.65596875 |
transcript.pyannote[58].end |
245.32596875 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
241.42784375 |
transcript.pyannote[59].end |
245.17409375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
245.83221875 |
transcript.pyannote[60].end |
247.04721875 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
246.25409375 |
transcript.pyannote[61].end |
247.38471875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
247.38471875 |
transcript.pyannote[62].end |
247.46909375 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
247.46909375 |
transcript.pyannote[63].end |
254.03346875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
254.15159375 |
transcript.pyannote[64].end |
264.88409375 |
transcript.pyannote[65].speaker |
SPEAKER_01 |
transcript.pyannote[65].start |
265.27221875 |
transcript.pyannote[65].end |
266.80784375 |
transcript.pyannote[66].speaker |
SPEAKER_01 |
transcript.pyannote[66].start |
267.31409375 |
transcript.pyannote[66].end |
273.32159375 |
transcript.pyannote[67].speaker |
SPEAKER_01 |
transcript.pyannote[67].start |
273.62534375 |
transcript.pyannote[67].end |
273.64221875 |
transcript.pyannote[68].speaker |
SPEAKER_00 |
transcript.pyannote[68].start |
273.64221875 |
transcript.pyannote[68].end |
273.77721875 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
273.77721875 |
transcript.pyannote[69].end |
275.97096875 |
transcript.pyannote[70].speaker |
SPEAKER_00 |
transcript.pyannote[70].start |
275.26221875 |
transcript.pyannote[70].end |
276.15659375 |
transcript.pyannote[71].speaker |
SPEAKER_01 |
transcript.pyannote[71].start |
277.42221875 |
transcript.pyannote[71].end |
279.78471875 |
transcript.pyannote[72].speaker |
SPEAKER_01 |
transcript.pyannote[72].start |
279.98721875 |
transcript.pyannote[72].end |
281.60721875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
282.70409375 |
transcript.pyannote[73].end |
284.84721875 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
284.12159375 |
transcript.pyannote[74].end |
284.23971875 |
transcript.pyannote[75].speaker |
SPEAKER_00 |
transcript.pyannote[75].start |
284.84721875 |
transcript.pyannote[75].end |
295.12409375 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
295.12409375 |
transcript.pyannote[76].end |
295.84971875 |
transcript.pyannote[77].speaker |
SPEAKER_00 |
transcript.pyannote[77].start |
295.71471875 |
transcript.pyannote[77].end |
309.02909375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
309.63659375 |
transcript.pyannote[78].end |
310.90221875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
311.44221875 |
transcript.pyannote[79].end |
313.65284375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
316.72409375 |
transcript.pyannote[80].end |
318.88409375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
319.18784375 |
transcript.pyannote[81].end |
336.70409375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
337.53096875 |
transcript.pyannote[82].end |
338.39159375 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
338.03721875 |
transcript.pyannote[83].end |
340.46721875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
340.50096875 |
transcript.pyannote[84].end |
349.24221875 |
transcript.pyannote[85].speaker |
SPEAKER_01 |
transcript.pyannote[85].start |
349.24221875 |
transcript.pyannote[85].end |
349.84971875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
349.84971875 |
transcript.pyannote[86].end |
354.16971875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
355.16534375 |
transcript.pyannote[87].end |
363.97409375 |
transcript.pyannote[88].speaker |
SPEAKER_00 |
transcript.pyannote[88].start |
364.49721875 |
transcript.pyannote[88].end |
374.82471875 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
376.37721875 |
transcript.pyannote[89].end |
381.47346875 |
transcript.pyannote[90].speaker |
SPEAKER_00 |
transcript.pyannote[90].start |
382.01346875 |
transcript.pyannote[90].end |
397.57221875 |
transcript.pyannote[91].speaker |
SPEAKER_00 |
transcript.pyannote[91].start |
397.63971875 |
transcript.pyannote[91].end |
406.26284375 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
406.34721875 |
transcript.pyannote[92].end |
410.09346875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
410.71784375 |
transcript.pyannote[93].end |
413.87346875 |
transcript.pyannote[94].speaker |
SPEAKER_00 |
transcript.pyannote[94].start |
414.19409375 |
transcript.pyannote[94].end |
415.03784375 |
transcript.pyannote[95].speaker |
SPEAKER_00 |
transcript.pyannote[95].start |
415.83096875 |
transcript.pyannote[95].end |
416.35409375 |
transcript.pyannote[96].speaker |
SPEAKER_01 |
transcript.pyannote[96].start |
416.53971875 |
transcript.pyannote[96].end |
416.60721875 |
transcript.pyannote[97].speaker |
SPEAKER_00 |
transcript.pyannote[97].start |
416.91096875 |
transcript.pyannote[97].end |
420.52221875 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
421.80471875 |
transcript.pyannote[98].end |
422.53034375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
423.15471875 |
transcript.pyannote[99].end |
425.70284375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
426.29346875 |
transcript.pyannote[100].end |
427.20471875 |
transcript.pyannote[101].speaker |
SPEAKER_00 |
transcript.pyannote[101].start |
427.59284375 |
transcript.pyannote[101].end |
430.66409375 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
430.98471875 |
transcript.pyannote[102].end |
434.29221875 |
transcript.pyannote[103].speaker |
SPEAKER_00 |
transcript.pyannote[103].start |
434.81534375 |
transcript.pyannote[103].end |
436.97534375 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
437.58284375 |
transcript.pyannote[104].end |
438.88221875 |
transcript.pyannote[105].speaker |
SPEAKER_00 |
transcript.pyannote[105].start |
438.96659375 |
transcript.pyannote[105].end |
439.03409375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
439.15221875 |
transcript.pyannote[106].end |
446.35784375 |
transcript.pyannote[107].speaker |
SPEAKER_00 |
transcript.pyannote[107].start |
447.18471875 |
transcript.pyannote[107].end |
448.33221875 |
transcript.pyannote[108].speaker |
SPEAKER_00 |
transcript.pyannote[108].start |
449.17596875 |
transcript.pyannote[108].end |
450.27284375 |
transcript.pyannote[109].speaker |
SPEAKER_00 |
transcript.pyannote[109].start |
450.54284375 |
transcript.pyannote[109].end |
451.96034375 |
transcript.pyannote[110].speaker |
SPEAKER_00 |
transcript.pyannote[110].start |
452.46659375 |
transcript.pyannote[110].end |
454.30596875 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
455.01471875 |
transcript.pyannote[111].end |
457.15784375 |
transcript.pyannote[112].speaker |
SPEAKER_00 |
transcript.pyannote[112].start |
458.62596875 |
transcript.pyannote[112].end |
460.22909375 |
transcript.pyannote[113].speaker |
SPEAKER_00 |
transcript.pyannote[113].start |
460.75221875 |
transcript.pyannote[113].end |
462.70971875 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
463.13159375 |
transcript.pyannote[114].end |
468.46409375 |
transcript.pyannote[115].speaker |
SPEAKER_00 |
transcript.pyannote[115].start |
469.34159375 |
transcript.pyannote[115].end |
472.54784375 |
transcript.pyannote[116].speaker |
SPEAKER_00 |
transcript.pyannote[116].start |
473.62784375 |
transcript.pyannote[116].end |
474.64034375 |
transcript.pyannote[117].speaker |
SPEAKER_01 |
transcript.pyannote[117].start |
475.87221875 |
transcript.pyannote[117].end |
477.39096875 |
transcript.pyannote[118].speaker |
SPEAKER_01 |
transcript.pyannote[118].start |
477.54284375 |
transcript.pyannote[118].end |
479.04471875 |
transcript.pyannote[119].speaker |
SPEAKER_01 |
transcript.pyannote[119].start |
479.51721875 |
transcript.pyannote[119].end |
481.50846875 |
transcript.pyannote[120].speaker |
SPEAKER_00 |
transcript.pyannote[120].start |
481.99784375 |
transcript.pyannote[120].end |
489.13596875 |
transcript.pyannote[121].speaker |
SPEAKER_00 |
transcript.pyannote[121].start |
489.49034375 |
transcript.pyannote[121].end |
490.09784375 |
transcript.pyannote[122].speaker |
SPEAKER_00 |
transcript.pyannote[122].start |
490.55346875 |
transcript.pyannote[122].end |
493.37159375 |
transcript.pyannote[123].speaker |
SPEAKER_00 |
transcript.pyannote[123].start |
493.60784375 |
transcript.pyannote[123].end |
502.26471875 |
transcript.pyannote[124].speaker |
SPEAKER_00 |
transcript.pyannote[124].start |
502.87221875 |
transcript.pyannote[124].end |
505.38659375 |
transcript.pyannote[125].speaker |
SPEAKER_00 |
transcript.pyannote[125].start |
505.53846875 |
transcript.pyannote[125].end |
511.91721875 |
transcript.pyannote[126].speaker |
SPEAKER_00 |
transcript.pyannote[126].start |
512.28846875 |
transcript.pyannote[126].end |
515.49471875 |
transcript.pyannote[127].speaker |
SPEAKER_00 |
transcript.pyannote[127].start |
516.13596875 |
transcript.pyannote[127].end |
522.00846875 |
transcript.pyannote[128].speaker |
SPEAKER_00 |
transcript.pyannote[128].start |
522.51471875 |
transcript.pyannote[128].end |
524.64096875 |
transcript.pyannote[129].speaker |
SPEAKER_00 |
transcript.pyannote[129].start |
525.38346875 |
transcript.pyannote[129].end |
527.77971875 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
529.18034375 |
transcript.pyannote[130].end |
530.78346875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
531.62721875 |
transcript.pyannote[131].end |
532.21784375 |
transcript.pyannote[132].speaker |
SPEAKER_00 |
transcript.pyannote[132].start |
532.48784375 |
transcript.pyannote[132].end |
534.02346875 |
transcript.pyannote[133].speaker |
SPEAKER_00 |
transcript.pyannote[133].start |
534.58034375 |
transcript.pyannote[133].end |
535.25534375 |
transcript.pyannote[134].speaker |
SPEAKER_00 |
transcript.pyannote[134].start |
535.45784375 |
transcript.pyannote[134].end |
537.76971875 |
transcript.pyannote[135].speaker |
SPEAKER_00 |
transcript.pyannote[135].start |
539.06909375 |
transcript.pyannote[135].end |
542.20784375 |
transcript.pyannote[136].speaker |
SPEAKER_01 |
transcript.pyannote[136].start |
541.16159375 |
transcript.pyannote[136].end |
559.90971875 |
transcript.pyannote[137].speaker |
SPEAKER_00 |
transcript.pyannote[137].start |
553.42971875 |
transcript.pyannote[137].end |
554.76284375 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
555.10034375 |
transcript.pyannote[138].end |
557.07471875 |
transcript.pyannote[139].speaker |
SPEAKER_00 |
transcript.pyannote[139].start |
559.04909375 |
transcript.pyannote[139].end |
566.00159375 |
transcript.pyannote[140].speaker |
SPEAKER_00 |
transcript.pyannote[140].start |
566.49096875 |
transcript.pyannote[140].end |
568.65096875 |
transcript.pyannote[141].speaker |
SPEAKER_00 |
transcript.pyannote[141].start |
569.54534375 |
transcript.pyannote[141].end |
571.99221875 |
transcript.pyannote[142].speaker |
SPEAKER_00 |
transcript.pyannote[142].start |
572.26221875 |
transcript.pyannote[142].end |
576.29534375 |
transcript.pyannote[143].speaker |
SPEAKER_00 |
transcript.pyannote[143].start |
576.97034375 |
transcript.pyannote[143].end |
578.38784375 |
transcript.pyannote[144].speaker |
SPEAKER_00 |
transcript.pyannote[144].start |
578.94471875 |
transcript.pyannote[144].end |
579.33284375 |
transcript.pyannote[145].speaker |
SPEAKER_00 |
transcript.pyannote[145].start |
580.14284375 |
transcript.pyannote[145].end |
580.48034375 |
transcript.pyannote[146].speaker |
SPEAKER_00 |
transcript.pyannote[146].start |
580.68284375 |
transcript.pyannote[146].end |
582.03284375 |
transcript.pyannote[147].speaker |
SPEAKER_00 |
transcript.pyannote[147].start |
582.26909375 |
transcript.pyannote[147].end |
587.93909375 |
transcript.pyannote[148].speaker |
SPEAKER_00 |
transcript.pyannote[148].start |
588.54659375 |
transcript.pyannote[148].end |
590.90909375 |
transcript.pyannote[149].speaker |
SPEAKER_00 |
transcript.pyannote[149].start |
596.49471875 |
transcript.pyannote[149].end |
596.71409375 |
transcript.pyannote[150].speaker |
SPEAKER_00 |
transcript.pyannote[150].start |
597.37221875 |
transcript.pyannote[150].end |
599.26221875 |
transcript.whisperx[0].start |
0.249 |
transcript.whisperx[0].end |
3.591 |
transcript.whisperx[0].text |
主席好 麻煩請秘書長好 請龔秘書長葉委員好龔秘書長 先跟你確定一下剛剛民進黨的委員就是說財化法通過之後立刻對地方造成立刻對中央造成危害我想問行政院發言人之前講說財化法造成今年的總預算要重編這個已經被證實是一個假消息了對不對 |
transcript.whisperx[1].start |
24.963 |
transcript.whisperx[1].end |
40.729 |
transcript.whisperx[1].text |
沒有要從邊嘛沒有嘛那為什麼內政部在前兩天的時候還發臉書說他今年所有的建設都要減少28%包括育兒津貼包括地下污水下水道包括打炸都要減少28%為什麼是要給地方嗎內政部是不是要把28%預算給地方在今年就要給油嗎 |
transcript.whisperx[2].start |
48.582 |
transcript.whisperx[2].end |
63.727 |
transcript.whisperx[2].text |
預算現在還在大院審議當中對 如果通過的話如果通過是不是要給地方28%今年有嗎就要看有沒有嘛對 就要看那個文本最後的結果怎麼來認證不是啊 如果通過 都專案通過有要給28%嗎 有嗎 |
transcript.whisperx[3].start |
66.601 |
transcript.whisperx[3].end |
81.679 |
transcript.whisperx[3].text |
他如果當時實施那當時實施就沒有實施嘛今年就沒有從編而且也沒有要實施那內政部為什麼要減少28%這他自己要放口袋喔不是沒有這樣我覺得大家針對財化法就就事論事啦 |
transcript.whisperx[4].start |
82.119 |
transcript.whisperx[4].end |
97.865 |
transcript.whisperx[4].text |
因為二十幾年前大家都說財務法沒有修嘛那賴清德總統在當市長的時候也說要修嘛對於版本如果有意見大家可以來討論但不用講那麼多政治語言嘛就沒有要減百分之二十八那內政部可以這樣公然造謠喔民主黨你可不可以節制一下你們的政務官啊 |
transcript.whisperx[5].start |
104.051 |
transcript.whisperx[5].end |
118.88 |
transcript.whisperx[5].text |
國民黨修裁劃法就是毀憲亂政民進黨的立委包括之前蘇貞昌在當主席的時候帶著當時的台南市長賴清德說裁劃法十幾年沒修罵那時候的中央說那時候的中央怠惰不願意處理難處理的問題 |
transcript.whisperx[6].start |
120.501 |
transcript.whisperx[6].end |
145.582 |
transcript.whisperx[6].text |
那個時候就不是毀憲亂政現在國民黨修就毀憲亂政我真的很痛心啊看到民進黨的政務官老是政治語言欺騙社會大眾領著民脂民膏拿著納稅人的薪水然後到處欺騙大眾我真的聽不下去啦然後再來秘書長我覺得除了搞政治鬥爭之外行政院應該要注意一個我覺得很 |
transcript.whisperx[7].start |
146.775 |
transcript.whisperx[7].end |
169.347 |
transcript.whisperx[7].text |
很危險的現象今天我們的題目叫做什麼霸凌對不對因為我發現行政院有一個部會霸凌很嚴重經濟部你知道為什麼嗎你要去注意一下你知道經濟部次長在郭志輝部長上任之後三個都要走了你知道這是嗎第一個林全仁然後再來陳正琦然後連錦江什麼時候要走 |
transcript.whisperx[8].start |
170.795 |
transcript.whisperx[8].end |
188.013 |
transcript.whisperx[8].text |
大概三月吧三月要走你有看過您當那個政府官應該蠻久的吧在政府機關服務也蠻久的吧你有沒有看過一個部長上任不到九個月下面三個次長都要走人的你有沒有看過你有沒有看過 |
transcript.whisperx[9].start |
191.648 |
transcript.whisperx[9].end |
215.553 |
transcript.whisperx[9].text |
可能有個人的規劃嘛當然都個人規劃嘛每一個離職都個人規劃嘛我看到那時候陳正琦要離開的時候郭志輝也是說尊重每一個人的生涯規劃啦每一個要離職的人都是做生涯規劃啦這是標準答案啦可是一個部長上任沒多久三個次長都要離開你們行政院都不會覺得很誇張喔 |
transcript.whisperx[10].start |
217.571 |
transcript.whisperx[10].end |
244.734 |
transcript.whisperx[10].text |
我們現在在講霸凌 問我之前大家講勞動部有一個指標說他可能有霸凌就是他流動率很高嘛很多公務人員進到公家機關 到了勞動部寧可辭職也不要幹因為霸凌很嚴重嘛那今天經濟部長上任後 三個次長離開你覺得都是生涯規劃嗎你真的覺得都是生涯規劃嗎 什麼生涯規劃問我以前都沒有這個生涯規劃 換作智慧以後就有生涯規劃 |
transcript.whisperx[11].start |
245.885 |
transcript.whisperx[11].end |
273.252 |
transcript.whisperx[11].text |
你有沒有去了解?秘書長你有沒有去了解?您是要做各部會協調溝通嘛你有沒有去了解這個現象有沒有?據我了解像陳正吉次長事實上他在520那時候他當時就表達他要退休了啦那時候部長說請他看能不能因為在政權轉軌的過程當中可不可以多留一段時間讓他同意那時候就講好到12月底 |
transcript.whisperx[12].start |
273.692 |
transcript.whisperx[12].end |
275.795 |
transcript.whisperx[12].text |
那時候已經先講好了啦他臉緊張欸臉緊張的話因為他家庭還是 |
transcript.whisperx[13].start |
282.912 |
transcript.whisperx[13].end |
308.633 |
transcript.whisperx[13].text |
爸爸要照顧啊 這些情況每個人都有檯面上理由 這就不尋常嘛而且秘書長 你知道今年啊川普上任之後是一個經濟非常有可能大變動的一年 你知道嗎你知道這事嗎 結果我們所有有經驗的次長都離開陳正琦已經是我們台灣少數具有大型經貿談判實務經驗的次長而且他在上一次川普在任的時候他就有跟美國交手過 |
transcript.whisperx[14].start |
309.693 |
transcript.whisperx[14].end |
336.179 |
transcript.whisperx[14].text |
這樣的人才你們留不住就說生涯規劃好吧生涯規劃你就走吧連錦章負責產業現在你們經濟部一直在推很多綠能的政策搞得天怒人怨你有沒有看到一個新聞中鋼的員工工會又出來抗議了說經濟部要求中鋼要投資一家叫台灣智能什麼能源公司要做一個平台他們很害怕又要燒2500億有看到這個新聞嗎 |
transcript.whisperx[15].start |
337.594 |
transcript.whisperx[15].end |
352.712 |
transcript.whisperx[15].text |
知道這個事嗎?看到這個事,但是那個是有點誇張啦有沒有誇張是一回事啦,那是因為當時您在做國發會主委的時候,國發基金有投資一個叫做新達海基嘛,新達海基最後怎麼樣,共有64億收場啦 |
transcript.whisperx[16].start |
355.222 |
transcript.whisperx[16].end |
374.516 |
transcript.whisperx[16].text |
所以當然中鋼的員工會緊張嘛現在經濟部任何政策下來他們都怕說中鋼會不會虧損啊會影響到他們的分紅啊影響他們的股價啊那我現在講這個只是說我不是在跟你討論西部的經濟政策而是我們一個一個次長離開正值著我們經濟可能面臨到極大變動的一年 |
transcript.whisperx[17].start |
376.431 |
transcript.whisperx[17].end |
397.245 |
transcript.whisperx[17].text |
行政院有沒有掌握有沒有了解到底是部長的問題還是次長的生涯規劃那我看到部長每一次他因為從企業來的以前聽說他在當企業家的時候常常丟一個方向下面就去研究研究完之後又說這個方向好像好像不可以再換下一個方向然後他的員工可能就疲於奔命這但是他民營企業我們不管 |
transcript.whisperx[18].start |
398.045 |
transcript.whisperx[18].end |
419.97 |
transcript.whisperx[18].text |
現在如果做政務官 政務官如果也是這樣搞每天丟想法出來 叫下面去研究 叫下面去做然後做不出來 然後再換方向很多人當然這樣就受不了啊你有沒有去了解是不是這個情況上一次告訴大家說我們要去菲律賣店你知道這個事嗎 知道嗎然後在立法院大家質詢他他說這只是一個想法而已你知道這個事嗎所以政務官今天可以隨便亂拋想法 |
transcript.whisperx[19].start |
426.345 |
transcript.whisperx[19].end |
448.031 |
transcript.whisperx[19].text |
他是部長欸 部長拋了一個想法 次長就要去研究了啊就研究完之後 發現這個不可行那次長會不會做很多攏事 會不會走錯方向 然後沒有價值感 沒有成就感 沒有功效感覺得好像部長隨便丟一句話 我們就要研究 但最後又不做不如歸去嘛 |
transcript.whisperx[20].start |
449.229 |
transcript.whisperx[20].end |
474.429 |
transcript.whisperx[20].text |
回家養鳥、種花、下棋都比在這邊浪費時間好嘛這個也算是職場霸凌的一種啦所以民主黨你願不願意去了解一下因為我今天在跟你講這個事情不是政治鬥爭我跟你講這是有關於台灣的經濟發展啊因為尤其是我剛剛講了今年的經濟變動可能會很大可不可以去了解一下 |
transcript.whisperx[21].start |
475.933 |
transcript.whisperx[21].end |
501.344 |
transcript.whisperx[21].text |
好 但是據初步的了解還是個人的這個職涯規劃當然是職涯規劃他會跟你講說我是被霸凌嗎或我覺得部長我待不下去嗎你勞動部上次第一次去調查那個北區分署的時候也都說利益良善也都說那個霸凌跟那個員工的輕生沒有直接關係 |
transcript.whisperx[22].start |
502.935 |
transcript.whisperx[22].end |
527.623 |
transcript.whisperx[22].text |
看你用什麼力道去了解嘛你的力道如果只是說 請他來問兩句話當然他都會這樣規劃可是如果你認真的去了解問次長之外 問次長秘書然後甚至去了解整個經濟部的氛圍有沒有我剛剛講那個狀況嘛否則我真的很難理解你之前你也沒有發生過嘛你當政務官的時候 次長連續走三個有沒有沒有嘛 有還是沒有 |
transcript.whisperx[23].start |
531.687 |
transcript.whisperx[23].end |
537.572 |
transcript.whisperx[23].text |
搖頭直接講沒有了我們要收音啦沒有嘛沒有嘛所以你覺得怪不怪 |
transcript.whisperx[24].start |
539.247 |
transcript.whisperx[24].end |
568.013 |
transcript.whisperx[24].text |
為什麼大家都剛好在今年整個規劃剛剛已經有講包括陳振祺次長他事實上在520的時候就已經有這樣的表達然後大家談說那多留一陣子所以這個已經在不是最近才發生的而是在上任之前就是在上任之前就已經沒有我覺得當然這個表面的理由都有可是我們想要了解我們想要您去了解的是說怎麼樣把這些人才把它留下來 |
transcript.whisperx[25].start |
569.585 |
transcript.whisperx[25].end |
590.71 |
transcript.whisperx[25].text |
好不好把這些人才留下來然後部長到底有沒有對一下溝通的問題這個你要去了解嘛你要真的去了解好不好可以嗎不要每次來都在那邊都在講什麼鬥爭的事情把台灣搞得好像都是只有政治口水真正該做都不做我覺得這不是國人的期待啦謝謝好接下來請吳啟明委員 |