| IVOD_ID |
165776 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/165776 |
| 日期 |
2025-11-24 |
| 會議資料.會議代碼 |
委員會-11-4-15-12 |
| 會議資料.會議代碼:str |
第11屆第4會期內政委員會第12次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
4 |
| 會議資料.會次 |
12 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
15 |
| 會議資料.委員會代碼:str[0] |
內政委員會 |
| 會議資料.標題 |
第11屆第4會期內政委員會第12次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-11-24T10:37:56+08:00 |
| 結束時間 |
2025-11-24T10:45:47+08:00 |
| 影片長度 |
00:07:51 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/f813cb5f76f781039ca041a3dac5654446adc14d631adda669bc65e346f37e4c5298a28bd9a4829e5ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
牛煦庭 |
| 委員發言時間 |
10:37:56 - 10:45:47 |
| 會議時間 |
2025-11-24T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期內政委員會第12次全體委員會議(事由:邀請內政部部長、國防部部長就「普發新版臺灣全民安全指引如何提升全民安全意識之政策效益評估」進行專題報告,並備質詢,另請行政院主計總處派員列席備詢。) |
| transcript.pyannote[0].speaker |
SPEAKER_01 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
0.36846875 |
| transcript.pyannote[1].speaker |
SPEAKER_02 |
| transcript.pyannote[1].start |
1.07721875 |
| transcript.pyannote[1].end |
4.21596875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
8.51909375 |
| transcript.pyannote[2].end |
10.89846875 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
11.92784375 |
| transcript.pyannote[3].end |
14.13846875 |
| transcript.pyannote[4].speaker |
SPEAKER_01 |
| transcript.pyannote[4].start |
14.17221875 |
| transcript.pyannote[4].end |
22.47471875 |
| transcript.pyannote[5].speaker |
SPEAKER_02 |
| transcript.pyannote[5].start |
14.25659375 |
| transcript.pyannote[5].end |
15.15096875 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
15.15096875 |
| transcript.pyannote[6].end |
15.16784375 |
| transcript.pyannote[7].speaker |
SPEAKER_02 |
| transcript.pyannote[7].start |
25.30971875 |
| transcript.pyannote[7].end |
27.57096875 |
| transcript.pyannote[8].speaker |
SPEAKER_01 |
| transcript.pyannote[8].start |
27.06471875 |
| transcript.pyannote[8].end |
28.26284375 |
| transcript.pyannote[9].speaker |
SPEAKER_02 |
| transcript.pyannote[9].start |
27.89159375 |
| transcript.pyannote[9].end |
28.78596875 |
| transcript.pyannote[10].speaker |
SPEAKER_01 |
| transcript.pyannote[10].start |
29.39346875 |
| transcript.pyannote[10].end |
30.89534375 |
| transcript.pyannote[11].speaker |
SPEAKER_02 |
| transcript.pyannote[11].start |
29.42721875 |
| transcript.pyannote[11].end |
29.91659375 |
| transcript.pyannote[12].speaker |
SPEAKER_01 |
| transcript.pyannote[12].start |
31.72221875 |
| transcript.pyannote[12].end |
32.11034375 |
| transcript.pyannote[13].speaker |
SPEAKER_02 |
| transcript.pyannote[13].start |
32.11034375 |
| transcript.pyannote[13].end |
34.30409375 |
| transcript.pyannote[14].speaker |
SPEAKER_01 |
| transcript.pyannote[14].start |
33.32534375 |
| transcript.pyannote[14].end |
35.04659375 |
| transcript.pyannote[15].speaker |
SPEAKER_02 |
| transcript.pyannote[15].start |
35.04659375 |
| transcript.pyannote[15].end |
35.90721875 |
| transcript.pyannote[16].speaker |
SPEAKER_01 |
| transcript.pyannote[16].start |
35.90721875 |
| transcript.pyannote[16].end |
38.75909375 |
| transcript.pyannote[17].speaker |
SPEAKER_02 |
| transcript.pyannote[17].start |
40.02471875 |
| transcript.pyannote[17].end |
42.77534375 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
42.20159375 |
| transcript.pyannote[18].end |
42.26909375 |
| transcript.pyannote[19].speaker |
SPEAKER_01 |
| transcript.pyannote[19].start |
42.26909375 |
| transcript.pyannote[19].end |
42.67409375 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
42.67409375 |
| transcript.pyannote[20].end |
42.70784375 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
44.29409375 |
| transcript.pyannote[21].end |
53.55846875 |
| transcript.pyannote[22].speaker |
SPEAKER_02 |
| transcript.pyannote[22].start |
51.22971875 |
| transcript.pyannote[22].end |
51.24659375 |
| transcript.pyannote[23].speaker |
SPEAKER_01 |
| transcript.pyannote[23].start |
51.24659375 |
| transcript.pyannote[23].end |
51.66846875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
53.92971875 |
| transcript.pyannote[24].end |
58.33409375 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
58.26659375 |
| transcript.pyannote[25].end |
58.63784375 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
58.55346875 |
| transcript.pyannote[26].end |
70.29846875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
63.17721875 |
| transcript.pyannote[27].end |
63.59909375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
70.66971875 |
| transcript.pyannote[28].end |
72.55971875 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
72.81284375 |
| transcript.pyannote[29].end |
76.49159375 |
| transcript.pyannote[30].speaker |
SPEAKER_01 |
| transcript.pyannote[30].start |
76.49159375 |
| transcript.pyannote[30].end |
79.49534375 |
| transcript.pyannote[31].speaker |
SPEAKER_01 |
| transcript.pyannote[31].start |
79.74846875 |
| transcript.pyannote[31].end |
84.69284375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
81.36846875 |
| transcript.pyannote[32].end |
81.72284375 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
85.28346875 |
| transcript.pyannote[33].end |
86.88659375 |
| transcript.pyannote[34].speaker |
SPEAKER_01 |
| transcript.pyannote[34].start |
87.35909375 |
| transcript.pyannote[34].end |
92.91096875 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
90.36284375 |
| transcript.pyannote[35].end |
90.86909375 |
| transcript.pyannote[36].speaker |
SPEAKER_01 |
| transcript.pyannote[36].start |
93.50159375 |
| transcript.pyannote[36].end |
107.47409375 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
107.91284375 |
| transcript.pyannote[37].end |
108.70596875 |
| transcript.pyannote[38].speaker |
SPEAKER_02 |
| transcript.pyannote[38].start |
109.98846875 |
| transcript.pyannote[38].end |
111.57471875 |
| transcript.pyannote[39].speaker |
SPEAKER_02 |
| transcript.pyannote[39].start |
111.96284375 |
| transcript.pyannote[39].end |
112.63784375 |
| transcript.pyannote[40].speaker |
SPEAKER_02 |
| transcript.pyannote[40].start |
112.85721875 |
| transcript.pyannote[40].end |
115.08471875 |
| transcript.pyannote[41].speaker |
SPEAKER_01 |
| transcript.pyannote[41].start |
114.64596875 |
| transcript.pyannote[41].end |
116.18159375 |
| transcript.pyannote[42].speaker |
SPEAKER_02 |
| transcript.pyannote[42].start |
115.54034375 |
| transcript.pyannote[42].end |
123.33659375 |
| transcript.pyannote[43].speaker |
SPEAKER_01 |
| transcript.pyannote[43].start |
117.05909375 |
| transcript.pyannote[43].end |
117.43034375 |
| transcript.pyannote[44].speaker |
SPEAKER_01 |
| transcript.pyannote[44].start |
121.78409375 |
| transcript.pyannote[44].end |
147.36659375 |
| transcript.pyannote[45].speaker |
SPEAKER_02 |
| transcript.pyannote[45].start |
126.49221875 |
| transcript.pyannote[45].end |
128.34846875 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
131.30159375 |
| transcript.pyannote[46].end |
131.31846875 |
| transcript.pyannote[47].speaker |
SPEAKER_02 |
| transcript.pyannote[47].start |
131.31846875 |
| transcript.pyannote[47].end |
131.70659375 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
131.70659375 |
| transcript.pyannote[48].end |
131.72346875 |
| transcript.pyannote[49].speaker |
SPEAKER_02 |
| transcript.pyannote[49].start |
145.99971875 |
| transcript.pyannote[49].end |
146.55659375 |
| transcript.pyannote[50].speaker |
SPEAKER_02 |
| transcript.pyannote[50].start |
146.92784375 |
| transcript.pyannote[50].end |
155.82096875 |
| transcript.pyannote[51].speaker |
SPEAKER_01 |
| transcript.pyannote[51].start |
149.61096875 |
| transcript.pyannote[51].end |
150.26909375 |
| transcript.pyannote[52].speaker |
SPEAKER_01 |
| transcript.pyannote[52].start |
152.86784375 |
| transcript.pyannote[52].end |
153.23909375 |
| transcript.pyannote[53].speaker |
SPEAKER_01 |
| transcript.pyannote[53].start |
154.85909375 |
| transcript.pyannote[53].end |
189.50346875 |
| transcript.pyannote[54].speaker |
SPEAKER_02 |
| transcript.pyannote[54].start |
159.29721875 |
| transcript.pyannote[54].end |
160.29284375 |
| transcript.pyannote[55].speaker |
SPEAKER_02 |
| transcript.pyannote[55].start |
163.21221875 |
| transcript.pyannote[55].end |
163.43159375 |
| transcript.pyannote[56].speaker |
SPEAKER_02 |
| transcript.pyannote[56].start |
165.64221875 |
| transcript.pyannote[56].end |
168.13971875 |
| transcript.pyannote[57].speaker |
SPEAKER_02 |
| transcript.pyannote[57].start |
171.22784375 |
| transcript.pyannote[57].end |
172.17284375 |
| transcript.pyannote[58].speaker |
SPEAKER_02 |
| transcript.pyannote[58].start |
182.78721875 |
| transcript.pyannote[58].end |
183.90096875 |
| transcript.pyannote[59].speaker |
SPEAKER_02 |
| transcript.pyannote[59].start |
186.65159375 |
| transcript.pyannote[59].end |
187.41096875 |
| transcript.pyannote[60].speaker |
SPEAKER_02 |
| transcript.pyannote[60].start |
188.81159375 |
| transcript.pyannote[60].end |
190.16159375 |
| transcript.pyannote[61].speaker |
SPEAKER_01 |
| transcript.pyannote[61].start |
190.02659375 |
| transcript.pyannote[61].end |
200.52284375 |
| transcript.pyannote[62].speaker |
SPEAKER_02 |
| transcript.pyannote[62].start |
195.02159375 |
| transcript.pyannote[62].end |
196.64159375 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
196.64159375 |
| transcript.pyannote[63].end |
196.65846875 |
| transcript.pyannote[64].speaker |
SPEAKER_02 |
| transcript.pyannote[64].start |
198.00846875 |
| transcript.pyannote[64].end |
198.75096875 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
199.25721875 |
| transcript.pyannote[65].end |
199.59471875 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
199.71284375 |
| transcript.pyannote[66].end |
199.98284375 |
| transcript.pyannote[67].speaker |
SPEAKER_02 |
| transcript.pyannote[67].start |
199.98284375 |
| transcript.pyannote[67].end |
200.15159375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
200.15159375 |
| transcript.pyannote[68].end |
200.37096875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
201.14721875 |
| transcript.pyannote[69].end |
222.27471875 |
| transcript.pyannote[70].speaker |
SPEAKER_02 |
| transcript.pyannote[70].start |
206.41221875 |
| transcript.pyannote[70].end |
206.68221875 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
216.13221875 |
| transcript.pyannote[71].end |
216.46971875 |
| transcript.pyannote[72].speaker |
SPEAKER_01 |
| transcript.pyannote[72].start |
222.46034375 |
| transcript.pyannote[72].end |
235.80846875 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
225.49784375 |
| transcript.pyannote[73].end |
225.83534375 |
| transcript.pyannote[74].speaker |
SPEAKER_01 |
| transcript.pyannote[74].start |
236.01096875 |
| transcript.pyannote[74].end |
238.89659375 |
| transcript.pyannote[75].speaker |
SPEAKER_01 |
| transcript.pyannote[75].start |
239.13284375 |
| transcript.pyannote[75].end |
241.71471875 |
| transcript.pyannote[76].speaker |
SPEAKER_01 |
| transcript.pyannote[76].start |
242.05221875 |
| transcript.pyannote[76].end |
247.77284375 |
| transcript.pyannote[77].speaker |
SPEAKER_02 |
| transcript.pyannote[77].start |
247.77284375 |
| transcript.pyannote[77].end |
248.21159375 |
| transcript.pyannote[78].speaker |
SPEAKER_01 |
| transcript.pyannote[78].start |
248.21159375 |
| transcript.pyannote[78].end |
251.99159375 |
| transcript.pyannote[79].speaker |
SPEAKER_02 |
| transcript.pyannote[79].start |
248.49846875 |
| transcript.pyannote[79].end |
248.68409375 |
| transcript.pyannote[80].speaker |
SPEAKER_02 |
| transcript.pyannote[80].start |
250.72596875 |
| transcript.pyannote[80].end |
268.14096875 |
| transcript.pyannote[81].speaker |
SPEAKER_01 |
| transcript.pyannote[81].start |
257.54346875 |
| transcript.pyannote[81].end |
258.03284375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
258.03284375 |
| transcript.pyannote[82].end |
258.06659375 |
| transcript.pyannote[83].speaker |
SPEAKER_01 |
| transcript.pyannote[83].start |
266.53784375 |
| transcript.pyannote[83].end |
267.16221875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
267.55034375 |
| transcript.pyannote[84].end |
270.01409375 |
| transcript.pyannote[85].speaker |
SPEAKER_02 |
| transcript.pyannote[85].start |
268.76534375 |
| transcript.pyannote[85].end |
269.13659375 |
| transcript.pyannote[86].speaker |
SPEAKER_01 |
| transcript.pyannote[86].start |
270.09846875 |
| transcript.pyannote[86].end |
321.63471875 |
| transcript.pyannote[87].speaker |
SPEAKER_02 |
| transcript.pyannote[87].start |
270.23346875 |
| transcript.pyannote[87].end |
270.70596875 |
| transcript.pyannote[88].speaker |
SPEAKER_02 |
| transcript.pyannote[88].start |
271.44846875 |
| transcript.pyannote[88].end |
271.80284375 |
| transcript.pyannote[89].speaker |
SPEAKER_02 |
| transcript.pyannote[89].start |
273.43971875 |
| transcript.pyannote[89].end |
274.31721875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
274.31721875 |
| transcript.pyannote[90].end |
274.33409375 |
| transcript.pyannote[91].speaker |
SPEAKER_02 |
| transcript.pyannote[91].start |
276.39284375 |
| transcript.pyannote[91].end |
276.88221875 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
280.12221875 |
| transcript.pyannote[92].end |
280.13909375 |
| transcript.pyannote[93].speaker |
SPEAKER_03 |
| transcript.pyannote[93].start |
280.13909375 |
| transcript.pyannote[93].end |
280.62846875 |
| transcript.pyannote[94].speaker |
SPEAKER_02 |
| transcript.pyannote[94].start |
299.76471875 |
| transcript.pyannote[94].end |
301.90784375 |
| transcript.pyannote[95].speaker |
SPEAKER_02 |
| transcript.pyannote[95].start |
320.55471875 |
| transcript.pyannote[95].end |
321.61784375 |
| transcript.pyannote[96].speaker |
SPEAKER_02 |
| transcript.pyannote[96].start |
321.63471875 |
| transcript.pyannote[96].end |
321.65159375 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
321.65159375 |
| transcript.pyannote[97].end |
322.36034375 |
| transcript.pyannote[98].speaker |
SPEAKER_02 |
| transcript.pyannote[98].start |
321.71909375 |
| transcript.pyannote[98].end |
326.79846875 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
323.42346875 |
| transcript.pyannote[99].end |
323.92971875 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
326.79846875 |
| transcript.pyannote[100].end |
327.54096875 |
| transcript.pyannote[101].speaker |
SPEAKER_02 |
| transcript.pyannote[101].start |
327.54096875 |
| transcript.pyannote[101].end |
330.54471875 |
| transcript.pyannote[102].speaker |
SPEAKER_02 |
| transcript.pyannote[102].start |
330.89909375 |
| transcript.pyannote[102].end |
353.34284375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
331.45596875 |
| transcript.pyannote[103].end |
334.24034375 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
341.58096875 |
| transcript.pyannote[104].end |
341.96909375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
341.96909375 |
| transcript.pyannote[105].end |
342.13784375 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
348.02721875 |
| transcript.pyannote[106].end |
348.65159375 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
352.80284375 |
| transcript.pyannote[107].end |
388.89846875 |
| transcript.pyannote[108].speaker |
SPEAKER_02 |
| transcript.pyannote[108].start |
357.62909375 |
| transcript.pyannote[108].end |
359.67096875 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
359.67096875 |
| transcript.pyannote[109].end |
359.75534375 |
| transcript.pyannote[110].speaker |
SPEAKER_00 |
| transcript.pyannote[110].start |
360.88596875 |
| transcript.pyannote[110].end |
360.90284375 |
| transcript.pyannote[111].speaker |
SPEAKER_02 |
| transcript.pyannote[111].start |
360.90284375 |
| transcript.pyannote[111].end |
362.13471875 |
| transcript.pyannote[112].speaker |
SPEAKER_01 |
| transcript.pyannote[112].start |
388.99971875 |
| transcript.pyannote[112].end |
393.87659375 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
394.45034375 |
| transcript.pyannote[113].end |
395.44596875 |
| transcript.pyannote[114].speaker |
SPEAKER_03 |
| transcript.pyannote[114].start |
395.12534375 |
| transcript.pyannote[114].end |
395.98596875 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
395.71596875 |
| transcript.pyannote[115].end |
399.54659375 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
400.17096875 |
| transcript.pyannote[116].end |
408.77721875 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
409.40159375 |
| transcript.pyannote[117].end |
445.96971875 |
| transcript.pyannote[118].speaker |
SPEAKER_03 |
| transcript.pyannote[118].start |
445.15971875 |
| transcript.pyannote[118].end |
456.46596875 |
| transcript.pyannote[119].speaker |
SPEAKER_01 |
| transcript.pyannote[119].start |
450.08721875 |
| transcript.pyannote[119].end |
450.57659375 |
| transcript.pyannote[120].speaker |
SPEAKER_01 |
| transcript.pyannote[120].start |
451.96034375 |
| transcript.pyannote[120].end |
452.95596875 |
| transcript.pyannote[121].speaker |
SPEAKER_01 |
| transcript.pyannote[121].start |
455.85846875 |
| transcript.pyannote[121].end |
468.51471875 |
| transcript.pyannote[122].speaker |
SPEAKER_03 |
| transcript.pyannote[122].start |
460.04346875 |
| transcript.pyannote[122].end |
461.20784375 |
| transcript.pyannote[123].speaker |
SPEAKER_03 |
| transcript.pyannote[123].start |
466.47284375 |
| transcript.pyannote[123].end |
469.27409375 |
| transcript.pyannote[124].speaker |
SPEAKER_01 |
| transcript.pyannote[124].start |
469.00409375 |
| transcript.pyannote[124].end |
470.42159375 |
| transcript.whisperx[0].start |
0.029 |
| transcript.whisperx[0].end |
4.092 |
| transcript.whisperx[0].text |
請內政部部長還有國防部伯父部長好 先請國防部啦 因為先問手冊內容伯父 這個 伍安好這個 我想請教一下 這個最新的普發版本跟我手上這本這本是之前送到我們辦公室的 應該算舊的版本嘛 差異在哪裡 |
| transcript.whisperx[1].start |
25.639 |
| transcript.whisperx[1].end |
38.473 |
| transcript.whisperx[1].text |
這驗色壺的事件嘛加了一個驗色壺還有加了總統的簽名這是新版的新版嘛 問你新舊的差異嘛除了驗色壺之外就是加了總統簽名就這樣嗎我請我們那個 |
| transcript.whisperx[2].start |
44.492 |
| transcript.whisperx[2].end |
70.169 |
| transcript.whisperx[2].text |
包委員普發版跟9月16號初步公佈的這版本最大的差異有幾個地方首先是在序言的地方增加總統的簽名第二個部分是內容增加了眼色湖的這個可能異流或潰壩的部分的一個指引那其次的話在二三個QR code裡面呢 |
| transcript.whisperx[3].start |
70.829 |
| transcript.whisperx[3].end |
92.418 |
| transcript.whisperx[3].text |
我們把這QR code的這個盡量變成短版的QR code便於民眾查詢好謝謝這個本席先給這個國防部一個建議啦因為稍早張志倫我也有提你們這個報告裡面寫的東西聽我覺得有點噁心啦說淺顯易懂的方式編寫視覺吸睛的射鏡風格深獲各界正面肯定或迴響 |
| transcript.whisperx[4].start |
93.584 |
| transcript.whisperx[4].end |
108.392 |
| transcript.whisperx[4].text |
希望索取或授權印製等等所以要補發我跟你講這些東西其實大可不必為什麼還有總統的簽名我當然不是說總統簽名不好但我請教一下國防部部長你們講副部長你們之前參佐了世界各國的版本他們都有總統簽名嗎恐怕不見得吧我這個我沒有太注意不過因為 |
| transcript.whisperx[5].start |
113.281 |
| transcript.whisperx[5].end |
119.523 |
| transcript.whisperx[5].text |
總統也非常重視這件事情啦我知道總統很重視這件事情這個也是全國的事情我想這個總統來簽名我想對於我們國防部來講也是一種鼓舞也是肯定我們這份手冊從你的國防部的本位來講它是一種鼓舞本來就是鼓舞對我們工作同仁來講是一個鼓舞對這是從你工作同仁的角度但你想想看從社會大眾的角度總統是選舉產生這幾年台灣的政治不是特別安定彼此之間或有仇視的狀況 |
| transcript.whisperx[6].start |
139.389 |
| transcript.whisperx[6].end |
148.917 |
| transcript.whisperx[6].text |
那麼當你加了簽名然後加上馬上就要普發的時候他當然就會被政治化解讀嘛我今天要談的是這個事情報偉總統是三軍統帥我們所有國防排批書以後QRQDR全部都是總統簽名沒關係你如果今天要很堅持我也沒有打算說服你但我要跟你討論一下這件事情不管是你的國防業務裡面提的民防等等 |
| transcript.whisperx[7].start |
163.228 |
| transcript.whisperx[7].end |
184.238 |
| transcript.whisperx[7].text |
其實我們都希望政策可以順利的來推動 以便大家政黨不一樣但就是因為政黨不一樣 所以我要提醒 你要聽一聽不同的聲音我們的社會因為政治氛圍不太好 這都是現實所以越多政治相關的符碼在裡面的時候它反而會對你的宣傳 穩定等等效果造成負面影響這我想 你應該只可以理解這樣建議的初衷啦 對不對 |
| transcript.whisperx[8].start |
187.359 |
| transcript.whisperx[8].end |
199.317 |
| transcript.whisperx[8].text |
我們都不要用政治的角度來談這件事情不會 絕對不會用政治角度因為你剛好做了這樣的事然後剛好又加碼普發那當然就會或多或少一些狀況我本身就是要善盡在黨的角色我們要做一些提醒的角色希望可以做一些處理那這個 |
| transcript.whisperx[9].start |
201.232 |
| transcript.whisperx[9].end |
221.831 |
| transcript.whisperx[9].text |
有一些東西因為你們在談這樣子的一個手冊的認定的時候你們講的參酌了很多國家的判斷那當然這一陣年頭啊因應這個各式各樣的地緣風險的一個上升啊大家就會談說假訊息跟資訊識讀的裡面是很重要的這一點本席百分之百贊成但是裡面的一些內容上本席是認為有或有精進之處 |
| transcript.whisperx[10].start |
222.572 |
| transcript.whisperx[10].end |
239.877 |
| transcript.whisperx[10].text |
比如說我們拿瑞典的這個一樣他們的國防安全手冊來談的話他們去談假訊息的試讀的時候其實是非常明顯的是寫得很清楚的也就是說在核實訊息的時候應該避免依賴單一社群平台作為資訊來源應該要有多方查證的這樣的義務那相對來講我們在談資訊的時候卻寫說如果焦慮的話就不要看太多新聞跟網路資訊 |
| transcript.whisperx[11].start |
245.279 |
| transcript.whisperx[11].end |
251.102 |
| transcript.whisperx[11].text |
我覺得這個內容上或有可以精進之處啦是 謝謝委員長副部長你有沒有收到一些相關這樣子的一些我們當然有各方的聲音我們都聽到了我想這個手冊之所以會有這麼多聲音就是大家對它期待希望它更好那我覺得這次就是我們在製作這個手冊的初衷我們希望這個手冊能夠讓大家接受 |
| transcript.whisperx[12].start |
264.449 |
| transcript.whisperx[12].end |
279.857 |
| transcript.whisperx[12].text |
能夠讓大家平常的時候都有準備我想這是最重要的概念這個本席並不反對啊本來就是這個不管是防災或國防的意識的普及這是大家都會贊成的這樣一個價值所以本席才要善盡提醒有關訊息的部分其實他是越客觀然後接受性 |
| transcript.whisperx[13].start |
280.217 |
| transcript.whisperx[13].end |
307.289 |
| transcript.whisperx[13].text |
越低越沒有針對性越沒有政治駙馬他其實效果就會好因為不管是誰執政不管是什麼樣的狀況大家接到訊息都是一樣的所以他才具備有客觀然後大家會願意互相相信互相信賴瑞典的這個手冊裡面有講啊你不只是要看這本手冊的內容你也要跟你身邊的人建立強而有力的社群連結嘛守望相助這樣子的一個概念這觀念都正確但是台灣現在最大的問題就是因為政治大家彼此之間對立太嚴重 |
| transcript.whisperx[14].start |
307.802 |
| transcript.whisperx[14].end |
322.554 |
| transcript.whisperx[14].text |
所以大家要面對這個事情來做合理的處理本席的建議就是在寫這些相關的內容的時候政治的色彩越淡越好他視頻報導他很無聊都沒有關係因為這樣反而比較好的穿透效果這是本席給國防部的建議報告員我可以容我講一句話可以沒問題 |
| transcript.whisperx[15].start |
325.437 |
| transcript.whisperx[15].end |
334.142 |
| transcript.whisperx[15].text |
災變這個事情是沒有政黨的對沒錯嘛災變這個事情是我們全民大家都要能夠祈求自己家庭平安我想在這種色彩上來講我們國防部本來就是聰明我們做這個手冊你看我們注意救災的時候我們也沒有分政黨啊當然我們當時第一時間就出動所以這個手冊希望大家是一個 |
| transcript.whisperx[16].start |
347.19 |
| transcript.whisperx[16].end |
370.071 |
| transcript.whisperx[16].text |
平常心來看一個災難的防災的一個應變希望全民都安全我們花了五分多鐘的時間討論就是因為遇到了這樣的事嘛我們一起來解決這件事 好不好 這是本期的建議那希望國防部可以採納雅言 好不好好 我最後一點點時間我要請教內政部因為同樣啊 我們談一下防災的部分你也沒有談 我其實之前我印象中我在內政委員會我就有質詢過相關的題目啦 |
| transcript.whisperx[17].start |
372.087 |
| transcript.whisperx[17].end |
393.548 |
| transcript.whisperx[17].text |
你剛剛稍早工作報告的時候我還特別去載APP看了防空避難空間我們現在遇到這個狀況馬上就有防空避難的需求但是細節這本期還是要善盡提醒的責任本期舉個例子本期過去在龜山的租屋處我以前做議員的時候租的房子它的地下室每一棟大樓的地下室都是你理所當然的防災避難空間 |
| transcript.whisperx[18].start |
394.502 |
| transcript.whisperx[18].end |
407.227 |
| transcript.whisperx[18].text |
理論上是對不對但我那個大樓地下是什麼呢是那個立體停車塔就它不是人 它是沒有人的通道的它就是一個立體停車塔然後它用操作車子升上去降下來欸 那個防空避難處聲稱可以容納300多人 |
| transcript.whisperx[19].start |
409.471 |
| transcript.whisperx[19].end |
437.79 |
| transcript.whisperx[19].text |
那我就常常想如果真的我如果還住在這個地方真的遇到了空襲警報我們是當然要一起進去然後還有人幫我們操作幫我們送下去嗎好像不太對所以本期在講你在做了很多的通路跟渠道跟宣傳這都很好但是詳細的盤點我還是要請內政部請警政系統這邊要做一下把控啦也就是說哪一些是真正人流可以順利出入的這樣子的一個防空避難處所哪一些狀況只是當初可能是為了要趕快交作業不見得精細的地方要趕快讓它完整 |
| transcript.whisperx[20].start |
439.09 |
| transcript.whisperx[20].end |
460.827 |
| transcript.whisperx[20].text |
這樣子你公布的不管是在手冊上的APP上面的等等到時候真的發生災變的時候它才是一個可以去的地方是 謝謝委員我們會來檢討改進那理論上在地方政府的警政跟消防系統他們都要定時去看一下狀況沒錯 沒錯 沒錯那如果需要修正的話會根據我們的參數來做修正對啊 偶爾會有一些這樣子的特例那你也不要太苛責但是要求一下我們會來做一下盤點 做一下盤點才能夠把 |
| transcript.whisperx[21].start |
462.068 |
| transcript.whisperx[21].end |
470.275 |
| transcript.whisperx[21].text |
不管從內容上也好或者是實質上的細節也好把這政策內容做好我想這就是不分藍綠大家都期待的事好不好好謝謝兩位辛苦了 |