iVOD / 168116

Field Value
IVOD_ID 168116
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168116
日期 2026-04-01
會議資料.會議代碼 委員會-11-5-15-4
會議資料.會議代碼:str 第11屆第5會期內政委員會第4次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 4
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5會期內政委員會第4次全體委員會議
影片種類 Clip
開始時間 2026-04-01T10:20:26+08:00
結束時間 2026-04-01T10:28:32+08:00
影片長度 00:08:06
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6ae3a98a11df106ce32e657d79d48f2f8b964e64394a70074047e563c2ae1609a854e45adebac5195ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 林月琴
委員發言時間 10:20:26 - 10:28:32
會議時間 2026-04-01T09:00:00+08:00
會議名稱 立法院第11屆第5會期內政委員會第4次全體委員會議(事由:邀請客家委員會主任委員率同所屬及財團法人客家公共傳播基金會董事長列席報告業務概況(含上會期臨時提案辦理情形),並備質詢。【4月1日及2日二天一次會】)
transcript.pyannote[0].speaker SPEAKER_01
transcript.pyannote[0].start 0.82409375
transcript.pyannote[0].end 1.02659375
transcript.pyannote[1].speaker SPEAKER_01
transcript.pyannote[1].start 12.61971875
transcript.pyannote[1].end 15.35346875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 15.74159375
transcript.pyannote[2].end 18.00284375
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 19.92659375
transcript.pyannote[3].end 27.57096875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 22.03596875
transcript.pyannote[4].end 22.32284375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 27.62159375
transcript.pyannote[5].end 31.24971875
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 31.36784375
transcript.pyannote[6].end 33.42659375
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 33.71346875
transcript.pyannote[7].end 35.65409375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 36.00846875
transcript.pyannote[8].end 60.94971875
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 61.52346875
transcript.pyannote[9].end 67.73346875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 68.10471875
transcript.pyannote[10].end 74.77034375
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 75.12471875
transcript.pyannote[11].end 75.74909375
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 76.15409375
transcript.pyannote[12].end 77.31846875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 77.43659375
transcript.pyannote[13].end 86.65034375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 86.88659375
transcript.pyannote[14].end 89.50221875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 90.29534375
transcript.pyannote[15].end 90.46409375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 90.97034375
transcript.pyannote[16].end 95.88096875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 95.54346875
transcript.pyannote[17].end 95.59409375
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 96.01596875
transcript.pyannote[18].end 100.03221875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 100.42034375
transcript.pyannote[19].end 102.64784375
transcript.pyannote[20].speaker SPEAKER_01
transcript.pyannote[20].start 101.75346875
transcript.pyannote[20].end 102.36096875
transcript.pyannote[21].speaker SPEAKER_00
transcript.pyannote[21].start 102.71534375
transcript.pyannote[21].end 103.03596875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 103.08659375
transcript.pyannote[22].end 107.10284375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 107.18721875
transcript.pyannote[23].end 110.19096875
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 107.40659375
transcript.pyannote[24].end 107.60909375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 111.06846875
transcript.pyannote[25].end 112.97534375
transcript.pyannote[26].speaker SPEAKER_01
transcript.pyannote[26].start 112.97534375
transcript.pyannote[26].end 113.00909375
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 113.00909375
transcript.pyannote[27].end 113.31284375
transcript.pyannote[28].speaker SPEAKER_01
transcript.pyannote[28].start 113.31284375
transcript.pyannote[28].end 126.77909375
transcript.pyannote[29].speaker SPEAKER_00
transcript.pyannote[29].start 118.44284375
transcript.pyannote[29].end 118.71284375
transcript.pyannote[30].speaker SPEAKER_01
transcript.pyannote[30].start 126.96471875
transcript.pyannote[30].end 134.18721875
transcript.pyannote[31].speaker SPEAKER_01
transcript.pyannote[31].start 134.76096875
transcript.pyannote[31].end 135.26721875
transcript.pyannote[32].speaker SPEAKER_01
transcript.pyannote[32].start 135.67221875
transcript.pyannote[32].end 146.35409375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 147.04596875
transcript.pyannote[33].end 150.60659375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 151.12971875
transcript.pyannote[34].end 151.50096875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 151.87221875
transcript.pyannote[35].end 153.28971875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 153.57659375
transcript.pyannote[36].end 162.35159375
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 162.62159375
transcript.pyannote[37].end 163.14471875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 163.39784375
transcript.pyannote[38].end 166.31721875
transcript.pyannote[39].speaker SPEAKER_01
transcript.pyannote[39].start 164.44409375
transcript.pyannote[39].end 164.96721875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 166.53659375
transcript.pyannote[40].end 169.99596875
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 170.43471875
transcript.pyannote[41].end 177.28596875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 174.45096875
transcript.pyannote[42].end 174.60284375
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 177.72471875
transcript.pyannote[43].end 180.47534375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 180.72846875
transcript.pyannote[44].end 186.90471875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 185.99346875
transcript.pyannote[45].end 190.95471875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 191.19096875
transcript.pyannote[46].end 199.94909375
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 199.40909375
transcript.pyannote[47].end 200.79284375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 200.65784375
transcript.pyannote[48].end 217.78596875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 217.95471875
transcript.pyannote[49].end 225.98721875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 226.18971875
transcript.pyannote[50].end 231.72471875
transcript.pyannote[51].speaker SPEAKER_01
transcript.pyannote[51].start 232.72034375
transcript.pyannote[51].end 233.02409375
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 233.73284375
transcript.pyannote[52].end 247.99221875
transcript.pyannote[53].speaker SPEAKER_01
transcript.pyannote[53].start 248.81909375
transcript.pyannote[53].end 253.47659375
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 253.88159375
transcript.pyannote[54].end 259.41659375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 259.70346875
transcript.pyannote[55].end 264.56346875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 264.78284375
transcript.pyannote[56].end 266.87534375
transcript.pyannote[57].speaker SPEAKER_01
transcript.pyannote[57].start 267.07784375
transcript.pyannote[57].end 275.80221875
transcript.pyannote[58].speaker SPEAKER_01
transcript.pyannote[58].start 276.02159375
transcript.pyannote[58].end 278.65409375
transcript.pyannote[59].speaker SPEAKER_01
transcript.pyannote[59].start 278.92409375
transcript.pyannote[59].end 283.09221875
transcript.pyannote[60].speaker SPEAKER_01
transcript.pyannote[60].start 283.34534375
transcript.pyannote[60].end 288.23909375
transcript.pyannote[61].speaker SPEAKER_01
transcript.pyannote[61].start 288.42471875
transcript.pyannote[61].end 295.90034375
transcript.pyannote[62].speaker SPEAKER_01
transcript.pyannote[62].start 296.20409375
transcript.pyannote[62].end 296.89596875
transcript.pyannote[63].speaker SPEAKER_01
transcript.pyannote[63].start 297.04784375
transcript.pyannote[63].end 300.18659375
transcript.pyannote[64].speaker SPEAKER_01
transcript.pyannote[64].start 300.49034375
transcript.pyannote[64].end 302.75159375
transcript.pyannote[65].speaker SPEAKER_01
transcript.pyannote[65].start 303.15659375
transcript.pyannote[65].end 309.68721875
transcript.pyannote[66].speaker SPEAKER_01
transcript.pyannote[66].start 309.85596875
transcript.pyannote[66].end 310.39596875
transcript.pyannote[67].speaker SPEAKER_01
transcript.pyannote[67].start 310.95284375
transcript.pyannote[67].end 313.61909375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 315.03659375
transcript.pyannote[68].end 317.02784375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 317.12909375
transcript.pyannote[69].end 319.69409375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 320.09909375
transcript.pyannote[70].end 321.53346875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 321.80346875
transcript.pyannote[71].end 327.35534375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 327.65909375
transcript.pyannote[72].end 333.66659375
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 333.95346875
transcript.pyannote[73].end 334.62846875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 335.10096875
transcript.pyannote[74].end 353.37659375
transcript.pyannote[75].speaker SPEAKER_01
transcript.pyannote[75].start 341.64846875
transcript.pyannote[75].end 342.13784375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 353.64659375
transcript.pyannote[76].end 354.91221875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 355.31721875
transcript.pyannote[77].end 356.24534375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 356.51534375
transcript.pyannote[78].end 358.21971875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 358.62471875
transcript.pyannote[79].end 361.37534375
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 361.69596875
transcript.pyannote[80].end 364.26096875
transcript.pyannote[81].speaker SPEAKER_01
transcript.pyannote[81].start 364.42971875
transcript.pyannote[81].end 365.05409375
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 364.81784375
transcript.pyannote[82].end 368.09159375
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 368.44596875
transcript.pyannote[83].end 371.46659375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 371.93909375
transcript.pyannote[84].end 373.23846875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 373.37346875
transcript.pyannote[85].end 373.81221875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 374.14971875
transcript.pyannote[86].end 387.93659375
transcript.pyannote[87].speaker SPEAKER_01
transcript.pyannote[87].start 376.29284375
transcript.pyannote[87].end 376.34346875
transcript.pyannote[88].speaker SPEAKER_01
transcript.pyannote[88].start 386.97471875
transcript.pyannote[88].end 394.48409375
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 394.53471875
transcript.pyannote[89].end 397.89284375
transcript.pyannote[90].speaker SPEAKER_01
transcript.pyannote[90].start 398.14596875
transcript.pyannote[90].end 416.43846875
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 417.06284375
transcript.pyannote[91].end 419.71221875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 420.33659375
transcript.pyannote[92].end 423.76221875
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 424.23471875
transcript.pyannote[93].end 427.30596875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 427.81221875
transcript.pyannote[94].end 439.05096875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 438.59534375
transcript.pyannote[95].end 440.08034375
transcript.pyannote[96].speaker SPEAKER_01
transcript.pyannote[96].start 440.80596875
transcript.pyannote[96].end 461.54534375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 461.88284375
transcript.pyannote[97].end 464.76846875
transcript.pyannote[98].speaker SPEAKER_01
transcript.pyannote[98].start 465.12284375
transcript.pyannote[98].end 469.49346875
transcript.pyannote[99].speaker SPEAKER_01
transcript.pyannote[99].start 469.66221875
transcript.pyannote[99].end 470.40471875
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 470.53971875
transcript.pyannote[100].end 472.21034375
transcript.pyannote[101].speaker SPEAKER_01
transcript.pyannote[101].start 472.34534375
transcript.pyannote[101].end 480.79971875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 480.93471875
transcript.pyannote[102].end 484.03971875
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 484.34346875
transcript.pyannote[103].end 485.03534375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 484.68096875
transcript.pyannote[104].end 486.75659375
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 485.76096875
transcript.pyannote[105].end 486.23346875
transcript.whisperx[0].start 0.794
transcript.whisperx[0].end 1.755
transcript.whisperx[0].text 我非常肯定這兩個政策的
transcript.whisperx[1].start 30.21
transcript.whisperx[1].end 37.339
transcript.whisperx[1].text 但我認為這兩個政策應該是從規模的擴張走向我們的實質的深化
transcript.whisperx[2].start 38.075
transcript.whisperx[2].end 60.582
transcript.whisperx[2].text 首先我要肯定 客委會這幾年的努力 包括財富戰確實做出規模了不過今年3月已經增加到611站 特別是在苗栗 桃園 新竹這幾個客家的重點區那個網路也非常的密 客委會也持續我們擴張高齡照顧的場域 值得認同可是我要特別提醒主委
transcript.whisperx[3].start 61.562
transcript.whisperx[3].end 89.431
transcript.whisperx[3].text 包括這副站已經不是一個事半的階段而是正式納入到長照3.0的核心政策當規模做到後我們必須面對兩個嚴肅的問題一個是實際的照顧的人數 二是那個預算被稀釋所以主委站點在擴張可是每個站分配的資源在縮水如何確保這611站的服務品質不被稀釋而不是被淪為西極巷弄的一個長照站多掛一個牌子而已
transcript.whisperx[4].start 91.483
transcript.whisperx[4].end 92.203
transcript.whisperx[4].text 那是很務實的,不然我們就會減少占點
transcript.whisperx[5].start 112.145
transcript.whisperx[5].end 140.645
transcript.whisperx[5].text 這個是很兩難的決策所謂站點要夠淺才有辦法做到一定的規模所以外界常有疑慮認為博工照護站跟衛福部的西級的長照站高度重疊雖然地方回應有增加課宇的志工老幼共學等元素可是我們還是要講清楚博工照護站究竟只是文化加值的據點還是在高齡支持體系中
transcript.whisperx[6].start 141.089
transcript.whisperx[6].end 169.781
transcript.whisperx[6].text 有補上的其他部會做不到的哪些不可替代的一個功能先跟VM報告我們博工照護站還是要架構在衛福部西級相當據點之上有這個基本我們才有才能夠來申請這是第一個第二個是我們英文這語言是很有魔力很有魅力很有溫暖的
transcript.whisperx[7].start 170.721
transcript.whisperx[7].end 190.667
transcript.whisperx[7].text 那這個語言是長輩習慣的語言那通常那個教師用他要學發他熟悉的語言他的那個信任感,他的各種的會增加很多所以你意思是說,白宮政府在老十幾年沒有強調那是英文語言
transcript.whisperx[8].start 191.226
transcript.whisperx[8].end 214.702
transcript.whisperx[8].text 以你贊助這個政府的方式我們看到目前市級相當照顧站有各部份用的比如說我們今年試著要將繪本導入這個照顧的方式所以有批本、有合法、有疏寫的、速錄的再來就是歐益本、我們的帳篇
transcript.whisperx[9].start 220.286
transcript.whisperx[9].end 247.437
transcript.whisperx[9].text 也有它的自主性 自主的可能所以 也要讓另外一個人替大家撥分 做到抵押上來的也希望 也要提出三個具體的要求一個月內 實際上希望 主委這邊可以提交功能深化跟品質的精進報告因為我覺得還是要去做一些區隔
transcript.whisperx[10].start 248.871
transcript.whisperx[10].end 272.543
transcript.whisperx[10].text 主委剛剛講說有些語言的功能我們還是希望能夠在如何補助在受壓縮的狀況下如果達成2026的服務人數的目標還有我覺得還是要去釐清跨部會的協力機制否則這兩個人家會分不太清楚還有預算的指標的轉型就是說不是只有我們的站點數而且要增列到底服務的總人數跟資源不足的補強的
transcript.whisperx[11].start 273.749
transcript.whisperx[11].end 301.556
transcript.whisperx[11].text 主要的那個成果是什麼再來我們就要來問客家幣因為我覺得這也事實上是人做得不錯的地方因為客委會推客家幣的那個方向我認為事實上是有政策上的一個意義在不僅鼓勵到我們的客語的傳承也為了那個活絡客庄的一個經濟可是有兩個目標的情況下我覺得下一步是不是要更要把這個政策的那個排序講得清楚所以想問主委客家幣已經進入到2.0階段了
transcript.whisperx[12].start 303.226
transcript.whisperx[12].end 329.523
transcript.whisperx[12].text 在講客生活圈的這個大方向下哪些語言傳承的核心設計哪些是店家上線支付工具跟核銷系統的配套工作感謝美燕其實它在2.0還有它再提出的因為1.0它是具有稅籍的店家才可以申請但是2.0加入自然人
transcript.whisperx[13].start 329.923
transcript.whisperx[13].end 332.025
transcript.whisperx[13].text 也會這樣,因為我們看到在合同上,不只是傳統的市場,還會有自然人在做交易,所以我們應該用英語納進來,擴大講課的範圍,還有交易範圍,所以部分很不一樣的。
transcript.whisperx[14].start 357.488
transcript.whisperx[14].end 371.208
transcript.whisperx[14].text 地推人員讓自然人進來自然人會懷疑你是不是詐騙集團所以要透過在地熟悉的網路地推人員去宣導這個不是
transcript.whisperx[15].start 372.369
transcript.whisperx[15].end 397.695
transcript.whisperx[15].text 然後來協助鄉村、學總、學總提起要數位能力支付比較差的長輩而且他又是所謂的商店方的人主委可是你今年也提到未來客家幣可能朝開放全年齡逐步放寬店家範圍就不再限定客庄的店家的方向
transcript.whisperx[16].start 398.223
transcript.whisperx[16].end 419.518
transcript.whisperx[16].text 我覺得這個政策延伸真的要去討論因為我也諮詢那個客委會這個做法未來能不能守住把人帶進那個客庄讓客語進入到日常生活的原始設計當政策往全零的時候非客庄的店家擴大時那主委說明一下如何守住原本對客庄的重點支持
transcript.whisperx[17].start 420.736
transcript.whisperx[17].end 431.946
transcript.whisperx[17].text 客庄還是比較有大比例 客廳比例會使用合法 客廳比例在肚子的還是更少 所以我們評估在學生底部的點和營業 還是會更多因為時間關係
transcript.whisperx[18].start 441.051
transcript.whisperx[18].end 463.009
transcript.whisperx[18].text 請我們注意是不是針對客家幣2.0我大概提出四個要求就是一樣就是在1.0結束的一個月內是不是能夠提交檢討跟2.0的設計的對照報告還有我就要公佈我們的查核標準因為這是上路前應該明文規定一個你的密客的查核機制對方到底有沒有講客家法
transcript.whisperx[19].start 465.199
transcript.whisperx[19].end 483.875
transcript.whisperx[19].text 然後指標的獨立的拆分就是說把下一年度的預算當中把績效那個強制拆分為語言傳承的指標跟客庄的經濟指標不要混淆視聽還要釐清我們的工具的分工就客家幣跟客庄的產業價值的補助的一個角色跟排序跟分工好 謝謝 謝謝