IVOD_ID |
152274 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/152274 |
日期 |
2024-05-08 |
會議資料.會議代碼 |
委員會-11-1-15-17 |
會議資料.會議代碼:str |
第11屆第1會期內政委員會第17次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
1 |
會議資料.會次 |
17 |
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1會期內政委員會第17次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2024-05-08T09:14:55+08:00 |
結束時間 |
2024-05-08T09:18:14+08:00 |
影片長度 |
00:03:19 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/9fa9bc2102b9cf71186154e7630f494b827cef00f012e52e36499d1b681a2ac74bf5e17283eb3aa95ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
王美惠 |
委員發言時間 |
09:14:55 - 09:18:14 |
會議時間 |
2024-05-08T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期內政委員會第17次全體委員會議(事由:審查「地方民意代表費用支給及村里長事務補助費補助條例」修正草案等37案,詳見議事日程。
【5月8日及9日兩天一次會】) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
5.38034375 |
transcript.pyannote[0].end |
8.36721875 |
transcript.pyannote[1].speaker |
SPEAKER_00 |
transcript.pyannote[1].start |
8.95784375 |
transcript.pyannote[1].end |
10.86471875 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
11.55659375 |
transcript.pyannote[2].end |
14.42534375 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
14.83034375 |
transcript.pyannote[3].end |
17.15909375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
17.88471875 |
transcript.pyannote[4].end |
27.45284375 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
27.68909375 |
transcript.pyannote[5].end |
29.95034375 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
30.15284375 |
transcript.pyannote[6].end |
31.23284375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
31.65471875 |
transcript.pyannote[7].end |
33.74721875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
34.03409375 |
transcript.pyannote[8].end |
34.94534375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
35.29971875 |
transcript.pyannote[9].end |
40.31159375 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
40.90221875 |
transcript.pyannote[10].end |
42.16784375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
42.85971875 |
transcript.pyannote[11].end |
47.73659375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
48.34409375 |
transcript.pyannote[12].end |
53.22096875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
53.35596875 |
transcript.pyannote[13].end |
56.61284375 |
transcript.pyannote[14].speaker |
SPEAKER_00 |
transcript.pyannote[14].start |
56.62971875 |
transcript.pyannote[14].end |
58.31721875 |
transcript.pyannote[15].speaker |
SPEAKER_00 |
transcript.pyannote[15].start |
59.24534375 |
transcript.pyannote[15].end |
60.08909375 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
60.57846875 |
transcript.pyannote[16].end |
63.09284375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
63.36284375 |
transcript.pyannote[17].end |
64.62846875 |
transcript.pyannote[18].speaker |
SPEAKER_00 |
transcript.pyannote[18].start |
65.15159375 |
transcript.pyannote[18].end |
66.68721875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
66.88971875 |
transcript.pyannote[19].end |
68.34096875 |
transcript.pyannote[20].speaker |
SPEAKER_00 |
transcript.pyannote[20].start |
68.93159375 |
transcript.pyannote[20].end |
69.85971875 |
transcript.pyannote[21].speaker |
SPEAKER_00 |
transcript.pyannote[21].start |
70.09596875 |
transcript.pyannote[21].end |
71.53034375 |
transcript.pyannote[22].speaker |
SPEAKER_00 |
transcript.pyannote[22].start |
71.80034375 |
transcript.pyannote[22].end |
72.91409375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
73.30221875 |
transcript.pyannote[23].end |
73.99409375 |
transcript.pyannote[24].speaker |
SPEAKER_00 |
transcript.pyannote[24].start |
74.16284375 |
transcript.pyannote[24].end |
76.59284375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
76.76159375 |
transcript.pyannote[25].end |
78.51659375 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
78.80346875 |
transcript.pyannote[26].end |
81.50346875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
81.79034375 |
transcript.pyannote[27].end |
82.43159375 |
transcript.pyannote[28].speaker |
SPEAKER_00 |
transcript.pyannote[28].start |
83.10659375 |
transcript.pyannote[28].end |
85.95846875 |
transcript.pyannote[29].speaker |
SPEAKER_00 |
transcript.pyannote[29].start |
86.38034375 |
transcript.pyannote[29].end |
95.50971875 |
transcript.pyannote[30].speaker |
SPEAKER_00 |
transcript.pyannote[30].start |
95.94846875 |
transcript.pyannote[30].end |
98.61471875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
98.83409375 |
transcript.pyannote[31].end |
99.96471875 |
transcript.pyannote[32].speaker |
SPEAKER_00 |
transcript.pyannote[32].start |
100.35284375 |
transcript.pyannote[32].end |
102.59721875 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
103.00221875 |
transcript.pyannote[33].end |
105.95534375 |
transcript.pyannote[34].speaker |
SPEAKER_00 |
transcript.pyannote[34].start |
106.52909375 |
transcript.pyannote[34].end |
109.36409375 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
109.83659375 |
transcript.pyannote[35].end |
112.57034375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
112.90784375 |
transcript.pyannote[36].end |
115.74284375 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
115.79346875 |
transcript.pyannote[37].end |
116.41784375 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
117.41346875 |
transcript.pyannote[38].end |
124.75409375 |
transcript.pyannote[39].speaker |
SPEAKER_00 |
transcript.pyannote[39].start |
125.12534375 |
transcript.pyannote[39].end |
126.69471875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
127.40346875 |
transcript.pyannote[40].end |
133.24221875 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
133.44471875 |
transcript.pyannote[41].end |
134.18721875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
134.67659375 |
transcript.pyannote[42].end |
136.90409375 |
transcript.pyannote[43].speaker |
SPEAKER_00 |
transcript.pyannote[43].start |
137.02221875 |
transcript.pyannote[43].end |
138.62534375 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
139.06409375 |
transcript.pyannote[44].end |
143.36721875 |
transcript.pyannote[45].speaker |
SPEAKER_00 |
transcript.pyannote[45].start |
144.24471875 |
transcript.pyannote[45].end |
145.13909375 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
145.20659375 |
transcript.pyannote[46].end |
147.28221875 |
transcript.pyannote[47].speaker |
SPEAKER_00 |
transcript.pyannote[47].start |
147.99096875 |
transcript.pyannote[47].end |
150.96096875 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
151.23096875 |
transcript.pyannote[48].end |
162.08159375 |
transcript.pyannote[49].speaker |
SPEAKER_00 |
transcript.pyannote[49].start |
162.31784375 |
transcript.pyannote[49].end |
167.46471875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
168.13971875 |
transcript.pyannote[50].end |
182.29784375 |
transcript.pyannote[51].speaker |
SPEAKER_00 |
transcript.pyannote[51].start |
182.71971875 |
transcript.pyannote[51].end |
185.16659375 |
transcript.pyannote[52].speaker |
SPEAKER_00 |
transcript.pyannote[52].start |
185.31846875 |
transcript.pyannote[52].end |
197.46846875 |
transcript.pyannote[53].speaker |
SPEAKER_00 |
transcript.pyannote[53].start |
198.17721875 |
transcript.pyannote[53].end |
199.29096875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
198.37971875 |
transcript.pyannote[54].end |
199.07159375 |
transcript.whisperx[0].start |
5.393 |
transcript.whisperx[0].end |
16.275 |
transcript.whisperx[0].text |
主席,在此本身提案說明,在這裏面我覺得說,在上禮拜五大家都看到什麼叫做國土外賣,在這個里長的存摘,委員會的獎金也好,在議員的助理也好,我覺得今天你們看到每一棟,大家都很關意來這裡, |
transcript.whisperx[1].start |
34.099 |
transcript.whisperx[1].end |
38.702 |
transcript.whisperx[1].text |
討論:因為在本縣所了解:和我定位去所作的:我們有討論說里長的事務費4萬5條錢及5萬:這是一個有當當的政府就是說:要怎樣去比較去做好好:來讓我們的當地里長 |
transcript.whisperx[2].start |
59.278 |
transcript.whisperx[2].end |
61.519 |
transcript.whisperx[2].text |
我認為這是大家要討論大家要看如何可以 |
transcript.whisperx[3].start |
77.227 |
transcript.whisperx[3].end |
89.631 |
transcript.whisperx[3].text |
我們這個可以好好,本來在這裡要說的就是說,里長是沒有助理,只有事務費,因爲我們想就是說,我們要編一個議程,也要相當的考慮,也要跟地方去瞭解這個財政的問題,我相信里長提供獎金7萬5就等於一個半月, |
transcript.whisperx[4].start |
106.616 |
transcript.whisperx[4].end |
111.506 |
transcript.whisperx[4].text |
有時候我在早餐的時候你常常說 高官這樣做到要死 服務到要死 但是不是在那裡我們鼓勵一下 這個 |
transcript.whisperx[5].start |
117.698 |
transcript.whisperx[5].end |
141.934 |
transcript.whisperx[5].text |
國民代表這個收金我最痛脆,我跟你認為,我又聽回去,為什麼?有說過這件事是不是我又再次提出,跟前年差不多覺得怎麼樣剛好,你就對此說我不要要求多少,我照您的收金一樣,一個半月,一個半月就是 |
transcript.whisperx[6].start |
144.295 |
transcript.whisperx[6].end |
155.958 |
transcript.whisperx[6].text |
7萬5所以本身也提這個提案草案的選擇可以在里長提出7萬5的獎金再來做你的選擇我也來做第一次我做過議員說實在的一個專業的議員真的說都沒有做什麼什麼 只要服務的選擇真的 |
transcript.whisperx[7].start |
168.261 |
transcript.whisperx[7].end |
168.281 |
transcript.whisperx[7].text |
議員.審查 |
transcript.whisperx[8].start |
198.229 |
transcript.whisperx[8].end |
198.555 |
transcript.whisperx[8].text |
法定人數不足 |