iVOD / 154348

Field Value
IVOD_ID 154348
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/154348
日期 2024-06-27
會議資料.會議代碼 委員會-11-1-19-17
會議資料.會議代碼:str 第11屆第1會期經濟委員會第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] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第1會期經濟委員會第17次全體委員會議
影片種類 Clip
開始時間 2024-06-27T10:05:30+08:00
結束時間 2024-06-27T10:16:37+08:00
影片長度 00:11:07
支援功能[0] ai-transcript
支援功能[1] gazette
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/767b6a9d27b3726cc69f435b6b01016021a3f23b3ad13ea2b8981cfbc017771b233332d118b3cbf45ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 楊瓊瓔
委員發言時間 10:05:30 - 10:16:37
會議時間 2024-06-27T09:00:00+08:00
會議名稱 立法院第11屆第1會期經濟委員會第17次全體委員會議(事由:邀請農業部部長就「農業移工政策改善措施」進行報告,並備質詢。【6月26日及6月27日兩天一次會】)
gazette.lineno 368
gazette.blocks[0][0] 楊委員瓊瓔:(10時5分)主席,楊瓊瓔發言,邀請部長。
gazette.blocks[1][0] 主席:請部長。
gazette.blocks[2][0] 陳部長駿季:委員早。
gazette.blocks[3][0] 楊委員瓊瓔:部長,我們今天討論農業缺工問題,我記得從107年開始,我們努力把這個問題檯面化,終於在108年以試辦方式,率先試辦第一批800人,執行到現在,根據統計,隱性的不說,顯性的部分,我們大概需要的移工缺口將近2萬人,當然,第二階段1萬2,000人執行到現在,大約已經有七成左右進來,對不對?
gazette.blocks[4][0] 陳部長駿季:對,大概8,505人。
gazette.blocks[5][0] 楊委員瓊瓔:大概七成嘛!在這樣的情況下,我們在地方還是聽到很多聲音,有人會說他老了,但孩子不接工作,所以人力缺得很嚴重,而且這些人都是我們的寶貝,所謂的寶貝是什麼?他們都是在最基層的每一個環節,也碰到所有的氣候變遷,等於是一個活生生的農業界最重要博士,而且他們現在還在執行當中,所以缺工的問題,我們務必要幫他們解決。剛剛也聽到部長說現在的1萬2,000人已經用了七成,盤點後還要8,000人,現在的這些對接介面,因為今年就要到了,怎麼辦呢?請說明。
gazette.blocks[6][0] 陳部長駿季:目前我們就是為了防止年底以後就斷一段時間……
gazette.blocks[7][0] 楊委員瓊瓔:對,怎麼辦?
gazette.blocks[8][0] 陳部長駿季:所以我們盤了8,000人,8,000人裡面包括農、林、漁、畜部分,因為我們負責這部分,現在就是積極跟勞動部爭取,說服他們勞動缺工問題,有必要做一個補充。
gazette.blocks[9][0] 楊委員瓊瓔:對,我們當你的後盾,你有信心一定爭取到嘛!對不對?
gazette.blocks[10][0] 陳部長駿季:我想勞動部也非常支持農業部的提案,他們也非常重視。
gazette.blocks[11][0] 楊委員瓊瓔:我們要的是結果,到年底這個介面一定要對接成功,繼續加油!
gazette.blocks[12][0] 陳部長駿季:會,我們有信心,我們有信心。
gazette.blocks[13][0] 楊委員瓊瓔:你們有信心,我就給你獎勵、鼓勵。
gazette.blocks[13][1] 接下來我們要討論的問題,因為農業的技術是瞬息萬變,而且行業別也是瞬息萬變,在園藝部分,比如多肉植物,現在很多人,不管是在辦公室或家裡,都非常喜歡,這創造了很多產值,對不對?
gazette.blocks[14][0] 陳部長駿季:對。
gazette.blocks[15][0] 楊委員瓊瓔:好,草皮也非常迫切需要,因為現在空屋問題,大家都希望把自己的家弄好,甚至在居住的時候,都希望有草皮,在這樣的情況之下,草皮園藝也非常的需要,其實在我的選區后里,是全國草皮最棒的地區,對不對?
gazette.blocks[16][0] 陳部長駿季:對。
gazette.blocks[17][0] 楊委員瓊瓔:但是目前草皮的類別還沒有辦法加入這個行業,怎麼辦?
gazette.blocks[18][0] 陳部長駿季:跟委員報告,我們有特別針對一些新興的、比較需要的部分提出來,譬如像草皮、菇類等。
gazette.blocks[19][0] 楊委員瓊瓔:對,上一次本席跟你討論的時候,連花卉都沒有,最後你加進來,那草皮呢?
gazette.blocks[20][0] 陳部長駿季:對,6月7號的時候,針對新的部分,我們已經有跟勞動部爭取,另一方面,我們也降低它的門檻,因為如果門檻太高了,就算有提供……
gazette.blocks[21][0] 楊委員瓊瓔:對,你要去盤點。
gazette.blocks[22][0] 陳部長駿季:這個部分我們都盤點好了,已經在6月7號有部分行文到勞動部,我們也會持續往降低門檻、增加新的品項為目標前進。
gazette.blocks[23][0] 楊委員瓊瓔:所以本席請教,草皮的部分會放寬嗎?
gazette.blocks[24][0] 陳部長駿季:我們6月7號有提出,應該會吧!
gazette.blocks[25][0] 楊委員瓊瓔:這是務必,這是務必。
gazette.blocks[26][0] 陳部長駿季:我們已經有提案到勞動部了。
gazette.blocks[27][0] 楊委員瓊瓔:增加的類別,除了草皮,還有什麼?
gazette.blocks[28][0] 陳部長駿季:菇,還有芽菜。
gazette.blocks[29][0] 楊委員瓊瓔:芽菜,非常的重要,菇有沒有?
gazette.blocks[30][0] 陳部長駿季:菇的話,有一些門檻也會……
gazette.blocks[31][0] 楊委員瓊瓔:像新社現在連菇菌種都由我們的農會自己來協助,這是為國爭光,所以菇類、草皮都會在這一次……
gazette.blocks[32][0] 陳部長駿季:還有芽菜。
gazette.blocks[33][0] 楊委員瓊瓔:什麼時候會公布?
gazette.blocks[34][0] 陳部長駿季:我們在行政程序上一定會跟勞動部協調,然後跟它爭取……
gazette.blocks[35][0] 楊委員瓊瓔:你預估的KPI時間點在什麼時候?
gazette.blocks[36][0] 陳部長駿季:我希望在年底之前都能夠完成,當然越快越好啊!
gazette.blocks[37][0] 楊委員瓊瓔:不可能到年底,現在才6月耶!
gazette.blocks[38][0] 陳部長駿季:我知道。
gazette.blocks[39][0] 楊委員瓊瓔:怎麼可能半年?你們不做事嗎?
gazette.blocks[40][0] 陳部長駿季:因為勞動部有定期開會審查的機制,然後我們會跟勞動部……
gazette.blocks[41][0] 楊委員瓊瓔:怎麼審也不要審到半年啊!大家都知道這非常的迫切需要啊!我們農民一天都不能等耶!
gazette.blocks[42][0] 陳部長駿季:我們在6月7號已經提出來,我再拜託勞動部,希望能夠加速審查。
gazette.blocks[43][0] 楊委員瓊瓔:加速審查、儘速開放,包括草皮、菇類、芽菜都要開放。
gazette.blocks[44][0] 陳部長駿季:因為它有一部分還要修法,所以這個部分……
gazette.blocks[45][0] 楊委員瓊瓔:部長,你真的要謝謝我們臺中地區的草皮,像永旺公司是二、三十年來全家總動員不斷地在推陳出新,為我們國家賺了這麼多的稅,所以我們要全力支持它。像我們的香菇,我們做到被人欺負之後,甚至農會……這是你們輔導的,我也要感謝。現在菌種是由我們自己來做,這就是我們臺灣人的精神,我們一定要保護我們自己的農業,在相關的配套裡頭,我們開放了這個類別,但是在整個申請的過程,一定要好好的協助他們簡化手續,對不對?
gazette.blocks[46][0] 陳部長駿季:應該的。
gazette.blocks[47][0] 楊委員瓊瓔:這部分我們必須要加油。接下來我要跟你討論雞蛋的問題,請問現在產地一斤多少錢?
gazette.blocks[48][0] 陳部長駿季:25.5元。
gazette.blocks[49][0] 楊委員瓊瓔:你看它就是一直盤,上個禮拜還有27.5元,現在已經變成25.5元,批發價本來大概是37元,現在是多少?29元!甚至有人說載去給豬吃,好辛苦!甚至一箱才300元,怎麼辦?您上次跟本席討論的,針對寡產雞,你說一個月我們要有50萬隻……
gazette.blocks[50][0] 陳部長駿季:從120萬隻到180萬隻,大概60萬……
gazette.blocks[51][0] 楊委員瓊瓔:維持兩個月嗎?
gazette.blocks[52][0] 陳部長駿季:對。
gazette.blocks[53][0] 楊委員瓊瓔:維持兩個月,每一個月增加淘汰50萬隻?
gazette.blocks[54][0] 陳部長駿季:應該是60萬隻,從120萬隻變成180萬隻。
gazette.blocks[55][0] 楊委員瓊瓔:60萬隻?
gazette.blocks[56][0] 陳部長駿季:是。
gazette.blocks[57][0] 楊委員瓊瓔:一隻補助多少?
gazette.blocks[58][0] 陳部長駿季:20塊。
gazette.blocks[59][0] 楊委員瓊瓔:一隻補助20塊?
gazette.blocks[60][0] 陳部長駿季:是。
gazette.blocks[61][0] 楊委員瓊瓔:部長,你冷靜去想,好不容易生出來的雞蛋過量,甚至要去餵豬,心痛啊!接下來我們又看到因為你的產銷沒有安排好,所以一隻還要補助20塊,這都是人民的納稅錢啊!針對你的產銷機制,你現在希望控制在2,400萬顆,對不對?
gazette.blocks[62][0] 陳部長駿季:是。
gazette.blocks[63][0] 楊委員瓊瓔:你現在希望控制在這個樣子,本席也具體給你建議,你的產銷機制必須好好去盤點,好不好?你沒有去盤點,又要補助一隻寡產母雞20塊,這都是我們的錢耶!60萬隻double變成120萬隻,又要花多少錢?產生出來的雞蛋還要送給豬吃,它保存起來還要冷藏、還要電費,農民苦哈哈,雞農苦哈哈,不可以如此。請你去盤點,看看我們要怎麼樣讓產銷平穩,你把詳細的數字資料給本席好不好?
gazette.blocks[64][0] 陳部長駿季:好。
gazette.blocks[65][0] 楊委員瓊瓔:最後一個議題,你知道本席非常關心遊蕩犬貓,關於TNR機制的SOP,整個流程要完善啊!在手術之後,應該要讓牠們經過幾天的觀察期才可以回置,但是現在第二十六條卻告訴我們只要一天,一天可以嗎?腸子破掉了、肚子也破了,這怎麼辦?可以嗎?本席具體建議,你應該要將TNR的手冊內容嚴格落實,基層都建議回置的時間要手術後的五天,部長,你認為呢?
gazette.blocks[66][0] 陳部長駿季:我覺得在回置之前一定要確保動物的福利,這是最大的一個前提,如果說牠……
gazette.blocks[67][0] 楊委員瓊瓔:對!如果通通規定只有一天,肚子破掉也讓牠出來……
gazette.blocks[68][0] 陳部長駿季:如果結紮以後有些傷口,那就應該要看當時的情況,我覺得一天可能太早了,要確保動物的福利是一個前提。
gazette.blocks[69][0] 楊委員瓊瓔:對,這是基本,第一線希望能有五天,我希望你去盤點,至少要三天,好不好?
gazette.blocks[70][0] 陳部長駿季:是,我們會來檢討整個SOP。
gazette.blocks[71][0] 楊委員瓊瓔:你把數字告訴本席,因為你們更離譜,肚子破掉的回置之後竟說請周邊的居民看一下牠到底在哪裡!所以本席要提出第二項建議,第一個是時間點請你們去盤點,本席具體建議至少要三天才能回置。第二個具體建議手術之後也應該要放晶片,你們去研議,這樣子你才可以管控這一隻到底跑到哪裡去啊,不然就會製造第二個問題嘛,好不好?
gazette.blocks[72][0] 陳部長駿季:我覺得委員的建議非常正確,就是當我捕捉之後要回置時,應該要放晶片,如果沒有的話,我會來要求,如此一來,後續才能夠有效的追蹤。
gazette.blocks[73][0] 楊委員瓊瓔:對,這樣才能達到效果嘛,對不對?謝謝你同意本席所提出的建議,結紮手術之後,你必須要放晶片,讓所有的人都能夠安心嘛,好不好?
gazette.blocks[74][0] 陳部長駿季:是。
gazette.blocks[75][0] 楊委員瓊瓔:第一項就是以照顧犬貓的安全為基準,本席具體建議是三天,你要把時間告訴本席好嗎?
gazette.blocks[76][0] 陳部長駿季:好,謝謝。
gazette.blocks[77][0] 楊委員瓊瓔:謝謝。
gazette.blocks[78][0] 主席(楊委員瓊瓔):接下來請謝衣鳯委員詢答。
gazette.agenda.page_end 302
gazette.agenda.meet_id 委員會-11-1-19-17
gazette.agenda.speakers[0] 楊瓊瓔
gazette.agenda.speakers[1] 林岱樺
gazette.agenda.speakers[2] 邱議瑩
gazette.agenda.speakers[3] 黃國昌
gazette.agenda.speakers[4] 鄭正鈐
gazette.agenda.speakers[5] 鄭天財Sra Kacaw
gazette.agenda.speakers[6] 謝衣鳯
gazette.agenda.speakers[7] 呂玉玲
gazette.agenda.speakers[8] 陳超明
gazette.agenda.speakers[9] 賴瑞隆
gazette.agenda.speakers[10] 賴惠員
gazette.agenda.speakers[11] 蔡易餘
gazette.agenda.speakers[12] 鍾佳濱
gazette.agenda.speakers[13] 張嘉郡
gazette.agenda.speakers[14] 張啓楷
gazette.agenda.speakers[15] 黃仁
gazette.agenda.speakers[16] 黃珊珊
gazette.agenda.speakers[17] 洪孟楷
gazette.agenda.speakers[18] 洪申翰
gazette.agenda.speakers[19] 葉元之
gazette.agenda.speakers[20] 邱志偉
gazette.agenda.speakers[21] 陳亭妃
gazette.agenda.speakers[22] 陳冠廷
gazette.agenda.page_start 235
gazette.agenda.meetingDate[0] 2024-06-27
gazette.agenda.gazette_id 1136701
gazette.agenda.agenda_lcidc_ids[0] 1136701_00006
gazette.agenda.meet_name 立法院第11屆第1會期經濟委員會第17次全體委員會議紀錄
gazette.agenda.content 邀請農業部部長就「農業移工政策改善措施」進行報告,並備質詢
gazette.agenda.agenda_id 1136701_00005
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 0.25034375
transcript.pyannote[0].end 2.96721875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 6.81471875
transcript.pyannote[1].end 7.45596875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 7.65846875
transcript.pyannote[2].end 9.31221875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 9.46409375
transcript.pyannote[3].end 10.25721875
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 15.43784375
transcript.pyannote[4].end 15.84284375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 15.84284375
transcript.pyannote[5].end 16.12971875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 15.87659375
transcript.pyannote[6].end 16.14659375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 16.14659375
transcript.pyannote[7].end 16.29846875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 16.29846875
transcript.pyannote[8].end 16.31534375
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 16.46721875
transcript.pyannote[9].end 19.40346875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 19.89284375
transcript.pyannote[10].end 26.18721875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 26.30534375
transcript.pyannote[11].end 26.64284375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 26.60909375
transcript.pyannote[12].end 37.00409375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 37.52721875
transcript.pyannote[13].end 44.15909375
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 44.34471875
transcript.pyannote[14].end 57.96284375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 57.08534375
transcript.pyannote[15].end 58.99221875
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 58.92471875
transcript.pyannote[16].end 60.84846875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 60.35909375
transcript.pyannote[17].end 60.79784375
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 61.13534375
transcript.pyannote[18].end 65.20221875
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 65.87721875
transcript.pyannote[19].end 67.04159375
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 67.66596875
transcript.pyannote[20].end 95.89784375
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 96.01596875
transcript.pyannote[21].end 110.39346875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 107.96346875
transcript.pyannote[22].end 108.11534375
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 108.31784375
transcript.pyannote[23].end 108.35159375
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 110.62971875
transcript.pyannote[24].end 115.94534375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 114.12284375
transcript.pyannote[25].end 114.15659375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 114.19034375
transcript.pyannote[26].end 114.20721875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 116.58659375
transcript.pyannote[27].end 120.99096875
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 121.37909375
transcript.pyannote[28].end 139.23284375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 123.33659375
transcript.pyannote[29].end 123.77534375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 138.20346875
transcript.pyannote[30].end 138.22034375
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 139.28346875
transcript.pyannote[31].end 140.76846875
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 141.10596875
transcript.pyannote[32].end 143.70471875
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 141.25784375
transcript.pyannote[33].end 141.62909375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 143.70471875
transcript.pyannote[34].end 148.00784375
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 147.95721875
transcript.pyannote[35].end 149.27346875
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 149.27346875
transcript.pyannote[36].end 149.64471875
transcript.pyannote[37].speaker SPEAKER_02
transcript.pyannote[37].start 149.59409375
transcript.pyannote[37].end 154.69034375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 153.25596875
transcript.pyannote[38].end 155.66909375
transcript.pyannote[39].speaker SPEAKER_02
transcript.pyannote[39].start 155.11221875
transcript.pyannote[39].end 172.30784375
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 157.62659375
transcript.pyannote[40].end 157.89659375
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 167.24534375
transcript.pyannote[41].end 167.59971875
transcript.pyannote[42].speaker SPEAKER_01
transcript.pyannote[42].start 172.02096875
transcript.pyannote[42].end 172.29096875
transcript.pyannote[43].speaker SPEAKER_01
transcript.pyannote[43].start 172.30784375
transcript.pyannote[43].end 172.49346875
transcript.pyannote[44].speaker SPEAKER_02
transcript.pyannote[44].start 172.35846875
transcript.pyannote[44].end 176.64471875
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 176.22284375
transcript.pyannote[45].end 176.84721875
transcript.pyannote[46].speaker SPEAKER_02
transcript.pyannote[46].start 176.74596875
transcript.pyannote[46].end 179.14221875
transcript.pyannote[47].speaker SPEAKER_01
transcript.pyannote[47].start 179.14221875
transcript.pyannote[47].end 179.54721875
transcript.pyannote[48].speaker SPEAKER_02
transcript.pyannote[48].start 179.54721875
transcript.pyannote[48].end 180.20534375
transcript.pyannote[49].speaker SPEAKER_02
transcript.pyannote[49].start 180.82971875
transcript.pyannote[49].end 181.58909375
transcript.pyannote[50].speaker SPEAKER_02
transcript.pyannote[50].start 182.07846875
transcript.pyannote[50].end 207.44159375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 185.85846875
transcript.pyannote[51].end 185.89221875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 185.89221875
transcript.pyannote[52].end 186.19596875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 186.19596875
transcript.pyannote[53].end 186.29721875
transcript.pyannote[54].speaker SPEAKER_01
transcript.pyannote[54].start 186.29721875
transcript.pyannote[54].end 186.31409375
transcript.pyannote[55].speaker SPEAKER_01
transcript.pyannote[55].start 193.62096875
transcript.pyannote[55].end 193.82346875
transcript.pyannote[56].speaker SPEAKER_01
transcript.pyannote[56].start 198.17721875
transcript.pyannote[56].end 198.49784375
transcript.pyannote[57].speaker SPEAKER_02
transcript.pyannote[57].start 207.77909375
transcript.pyannote[57].end 207.93096875
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 207.93096875
transcript.pyannote[58].end 208.01534375
transcript.pyannote[59].speaker SPEAKER_02
transcript.pyannote[59].start 208.01534375
transcript.pyannote[59].end 208.03221875
transcript.pyannote[60].speaker SPEAKER_02
transcript.pyannote[60].start 208.62284375
transcript.pyannote[60].end 214.19159375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 214.34346875
transcript.pyannote[61].end 224.82284375
transcript.pyannote[62].speaker SPEAKER_02
transcript.pyannote[62].start 215.28846875
transcript.pyannote[62].end 215.69346875
transcript.pyannote[63].speaker SPEAKER_02
transcript.pyannote[63].start 223.50659375
transcript.pyannote[63].end 228.85596875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 225.26159375
transcript.pyannote[64].end 226.88159375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 227.43846875
transcript.pyannote[65].end 247.77284375
transcript.pyannote[66].speaker SPEAKER_02
transcript.pyannote[66].start 247.36784375
transcript.pyannote[66].end 251.11409375
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 251.50221875
transcript.pyannote[67].end 255.16409375
transcript.pyannote[68].speaker SPEAKER_02
transcript.pyannote[68].start 252.02534375
transcript.pyannote[68].end 252.83534375
transcript.pyannote[69].speaker SPEAKER_02
transcript.pyannote[69].start 253.93221875
transcript.pyannote[69].end 254.72534375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 255.80534375
transcript.pyannote[70].end 256.22721875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 256.49721875
transcript.pyannote[71].end 258.62346875
transcript.pyannote[72].speaker SPEAKER_02
transcript.pyannote[72].start 258.62346875
transcript.pyannote[72].end 259.80471875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 260.39534375
transcript.pyannote[73].end 261.42471875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 262.52159375
transcript.pyannote[74].end 262.94346875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 262.96034375
transcript.pyannote[75].end 262.97721875
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 263.65221875
transcript.pyannote[76].end 264.19221875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 264.47909375
transcript.pyannote[77].end 266.79096875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 267.26346875
transcript.pyannote[78].end 270.80721875
transcript.pyannote[79].speaker SPEAKER_02
transcript.pyannote[79].start 267.87096875
transcript.pyannote[79].end 268.37721875
transcript.pyannote[80].speaker SPEAKER_02
transcript.pyannote[80].start 270.94221875
transcript.pyannote[80].end 273.77721875
transcript.pyannote[81].speaker SPEAKER_02
transcript.pyannote[81].start 274.08096875
transcript.pyannote[81].end 277.28721875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 277.92846875
transcript.pyannote[82].end 280.72971875
transcript.pyannote[83].speaker SPEAKER_02
transcript.pyannote[83].start 281.01659375
transcript.pyannote[83].end 281.94471875
transcript.pyannote[84].speaker SPEAKER_02
transcript.pyannote[84].start 282.61971875
transcript.pyannote[84].end 283.29471875
transcript.pyannote[85].speaker SPEAKER_02
transcript.pyannote[85].start 283.93596875
transcript.pyannote[85].end 286.41659375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 284.91471875
transcript.pyannote[86].end 286.83846875
transcript.pyannote[87].speaker SPEAKER_02
transcript.pyannote[87].start 286.66971875
transcript.pyannote[87].end 288.13784375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 288.77909375
transcript.pyannote[88].end 293.14971875
transcript.pyannote[89].speaker SPEAKER_02
transcript.pyannote[89].start 292.66034375
transcript.pyannote[89].end 295.09034375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 295.09034375
transcript.pyannote[90].end 298.85346875
transcript.pyannote[91].speaker SPEAKER_02
transcript.pyannote[91].start 299.24159375
transcript.pyannote[91].end 302.97096875
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 302.97096875
transcript.pyannote[92].end 303.05534375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 303.20721875
transcript.pyannote[93].end 310.88534375
transcript.pyannote[94].speaker SPEAKER_01
transcript.pyannote[94].start 310.09221875
transcript.pyannote[94].end 312.08346875
transcript.pyannote[95].speaker SPEAKER_01
transcript.pyannote[95].start 312.82596875
transcript.pyannote[95].end 315.34034375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 315.28971875
transcript.pyannote[96].end 321.11159375
transcript.pyannote[97].speaker SPEAKER_01
transcript.pyannote[97].start 315.66096875
transcript.pyannote[97].end 317.19659375
transcript.pyannote[98].speaker SPEAKER_02
transcript.pyannote[98].start 321.34784375
transcript.pyannote[98].end 323.57534375
transcript.pyannote[99].speaker SPEAKER_02
transcript.pyannote[99].start 323.84534375
transcript.pyannote[99].end 325.14471875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 325.14471875
transcript.pyannote[100].end 325.51596875
transcript.pyannote[101].speaker SPEAKER_02
transcript.pyannote[101].start 325.51596875
transcript.pyannote[101].end 325.88721875
transcript.pyannote[102].speaker SPEAKER_02
transcript.pyannote[102].start 326.12346875
transcript.pyannote[102].end 326.59596875
transcript.pyannote[103].speaker SPEAKER_02
transcript.pyannote[103].start 327.03471875
transcript.pyannote[103].end 327.74346875
transcript.pyannote[104].speaker SPEAKER_02
transcript.pyannote[104].start 328.13159375
transcript.pyannote[104].end 328.92471875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 329.19471875
transcript.pyannote[105].end 330.86534375
transcript.pyannote[106].speaker SPEAKER_02
transcript.pyannote[106].start 330.86534375
transcript.pyannote[106].end 331.20284375
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 331.20284375
transcript.pyannote[107].end 336.01221875
transcript.pyannote[108].speaker SPEAKER_02
transcript.pyannote[108].start 331.62471875
transcript.pyannote[108].end 331.86096875
transcript.pyannote[109].speaker SPEAKER_02
transcript.pyannote[109].start 334.94909375
transcript.pyannote[109].end 340.43346875
transcript.pyannote[110].speaker SPEAKER_02
transcript.pyannote[110].start 340.82159375
transcript.pyannote[110].end 343.67346875
transcript.pyannote[111].speaker SPEAKER_02
transcript.pyannote[111].start 344.58471875
transcript.pyannote[111].end 348.98909375
transcript.pyannote[112].speaker SPEAKER_02
transcript.pyannote[112].start 349.22534375
transcript.pyannote[112].end 351.82409375
transcript.pyannote[113].speaker SPEAKER_02
transcript.pyannote[113].start 352.24596875
transcript.pyannote[113].end 362.08409375
transcript.pyannote[114].speaker SPEAKER_02
transcript.pyannote[114].start 363.07971875
transcript.pyannote[114].end 365.47596875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 365.93159375
transcript.pyannote[115].end 380.03909375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 380.03909375
transcript.pyannote[116].end 380.54534375
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 380.22471875
transcript.pyannote[117].end 381.99659375
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 382.63784375
transcript.pyannote[118].end 384.17346875
transcript.pyannote[119].speaker SPEAKER_02
transcript.pyannote[119].start 383.24534375
transcript.pyannote[119].end 387.73409375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 388.54409375
transcript.pyannote[120].end 390.55221875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 391.27784375
transcript.pyannote[121].end 392.71221875
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 394.18034375
transcript.pyannote[122].end 395.22659375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 395.51346875
transcript.pyannote[123].end 396.39096875
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 396.74534375
transcript.pyannote[124].end 397.87596875
transcript.pyannote[125].speaker SPEAKER_02
transcript.pyannote[125].start 398.50034375
transcript.pyannote[125].end 401.06534375
transcript.pyannote[126].speaker SPEAKER_02
transcript.pyannote[126].start 401.43659375
transcript.pyannote[126].end 405.09846875
transcript.pyannote[127].speaker SPEAKER_01
transcript.pyannote[127].start 404.55846875
transcript.pyannote[127].end 405.57096875
transcript.pyannote[128].speaker SPEAKER_02
transcript.pyannote[128].start 405.75659375
transcript.pyannote[128].end 406.60034375
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 407.03909375
transcript.pyannote[129].end 407.95034375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 408.87846875
transcript.pyannote[130].end 411.24096875
transcript.pyannote[131].speaker SPEAKER_02
transcript.pyannote[131].start 411.71346875
transcript.pyannote[131].end 412.43909375
transcript.pyannote[132].speaker SPEAKER_01
transcript.pyannote[132].start 412.25346875
transcript.pyannote[132].end 412.37159375
transcript.pyannote[133].speaker SPEAKER_01
transcript.pyannote[133].start 412.43909375
transcript.pyannote[133].end 412.82721875
transcript.pyannote[134].speaker SPEAKER_02
transcript.pyannote[134].start 412.82721875
transcript.pyannote[134].end 413.62034375
transcript.pyannote[135].speaker SPEAKER_02
transcript.pyannote[135].start 414.04221875
transcript.pyannote[135].end 415.13909375
transcript.pyannote[136].speaker SPEAKER_02
transcript.pyannote[136].start 415.24034375
transcript.pyannote[136].end 415.98284375
transcript.pyannote[137].speaker SPEAKER_02
transcript.pyannote[137].start 416.79284375
transcript.pyannote[137].end 417.65346875
transcript.pyannote[138].speaker SPEAKER_02
transcript.pyannote[138].start 418.53096875
transcript.pyannote[138].end 419.08784375
transcript.pyannote[139].speaker SPEAKER_02
transcript.pyannote[139].start 419.64471875
transcript.pyannote[139].end 422.95221875
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 423.28971875
transcript.pyannote[140].end 423.64409375
transcript.pyannote[141].speaker SPEAKER_02
transcript.pyannote[141].start 423.64409375
transcript.pyannote[141].end 427.25534375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 426.29346875
transcript.pyannote[142].end 431.54159375
transcript.pyannote[143].speaker SPEAKER_02
transcript.pyannote[143].start 428.40284375
transcript.pyannote[143].end 429.85409375
transcript.pyannote[144].speaker SPEAKER_02
transcript.pyannote[144].start 431.54159375
transcript.pyannote[144].end 432.18284375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 432.18284375
transcript.pyannote[145].end 434.12346875
transcript.pyannote[146].speaker SPEAKER_02
transcript.pyannote[146].start 432.31784375
transcript.pyannote[146].end 436.46909375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 436.48596875
transcript.pyannote[147].end 436.50284375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 436.51971875
transcript.pyannote[148].end 438.57846875
transcript.pyannote[149].speaker SPEAKER_02
transcript.pyannote[149].start 438.94971875
transcript.pyannote[149].end 439.89471875
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 439.65846875
transcript.pyannote[150].end 439.82721875
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 439.84409375
transcript.pyannote[151].end 440.02971875
transcript.pyannote[152].speaker SPEAKER_02
transcript.pyannote[152].start 440.06346875
transcript.pyannote[152].end 441.07596875
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 441.41346875
transcript.pyannote[153].end 442.81409375
transcript.pyannote[154].speaker SPEAKER_02
transcript.pyannote[154].start 442.93221875
transcript.pyannote[154].end 444.14721875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 443.79284375
transcript.pyannote[155].end 444.16409375
transcript.pyannote[156].speaker SPEAKER_02
transcript.pyannote[156].start 444.31596875
transcript.pyannote[156].end 445.71659375
transcript.pyannote[157].speaker SPEAKER_02
transcript.pyannote[157].start 446.94846875
transcript.pyannote[157].end 448.99034375
transcript.pyannote[158].speaker SPEAKER_02
transcript.pyannote[158].start 449.49659375
transcript.pyannote[158].end 450.03659375
transcript.pyannote[159].speaker SPEAKER_02
transcript.pyannote[159].start 450.61034375
transcript.pyannote[159].end 453.02346875
transcript.pyannote[160].speaker SPEAKER_02
transcript.pyannote[160].start 453.81659375
transcript.pyannote[160].end 456.55034375
transcript.pyannote[161].speaker SPEAKER_02
transcript.pyannote[161].start 456.63471875
transcript.pyannote[161].end 459.90846875
transcript.pyannote[162].speaker SPEAKER_02
transcript.pyannote[162].start 460.26284375
transcript.pyannote[162].end 464.46471875
transcript.pyannote[163].speaker SPEAKER_02
transcript.pyannote[163].start 465.17346875
transcript.pyannote[163].end 470.30346875
transcript.pyannote[164].speaker SPEAKER_02
transcript.pyannote[164].start 470.74221875
transcript.pyannote[164].end 471.26534375
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 471.31596875
transcript.pyannote[165].end 471.72096875
transcript.pyannote[166].speaker SPEAKER_02
transcript.pyannote[166].start 471.72096875
transcript.pyannote[166].end 473.94846875
transcript.pyannote[167].speaker SPEAKER_02
transcript.pyannote[167].start 474.53909375
transcript.pyannote[167].end 476.91846875
transcript.pyannote[168].speaker SPEAKER_02
transcript.pyannote[168].start 477.30659375
transcript.pyannote[168].end 479.07846875
transcript.pyannote[169].speaker SPEAKER_02
transcript.pyannote[169].start 479.88846875
transcript.pyannote[169].end 483.04409375
transcript.pyannote[170].speaker SPEAKER_02
transcript.pyannote[170].start 483.53346875
transcript.pyannote[170].end 483.98909375
transcript.pyannote[171].speaker SPEAKER_02
transcript.pyannote[171].start 484.59659375
transcript.pyannote[171].end 491.93721875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 484.61346875
transcript.pyannote[172].end 485.49096875
transcript.pyannote[173].speaker SPEAKER_02
transcript.pyannote[173].start 492.42659375
transcript.pyannote[173].end 496.24034375
transcript.pyannote[174].speaker SPEAKER_02
transcript.pyannote[174].start 496.98284375
transcript.pyannote[174].end 500.35784375
transcript.pyannote[175].speaker SPEAKER_02
transcript.pyannote[175].start 501.11721875
transcript.pyannote[175].end 503.51346875
transcript.pyannote[176].speaker SPEAKER_02
transcript.pyannote[176].start 503.71596875
transcript.pyannote[176].end 505.33596875
transcript.pyannote[177].speaker SPEAKER_02
transcript.pyannote[177].start 505.58909375
transcript.pyannote[177].end 507.85034375
transcript.pyannote[178].speaker SPEAKER_01
transcript.pyannote[178].start 506.09534375
transcript.pyannote[178].end 506.63534375
transcript.pyannote[179].speaker SPEAKER_02
transcript.pyannote[179].start 508.69409375
transcript.pyannote[179].end 510.43221875
transcript.pyannote[180].speaker SPEAKER_02
transcript.pyannote[180].start 511.02284375
transcript.pyannote[180].end 513.70596875
transcript.pyannote[181].speaker SPEAKER_02
transcript.pyannote[181].start 513.97596875
transcript.pyannote[181].end 515.79846875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 515.84909375
transcript.pyannote[182].end 516.15284375
transcript.pyannote[183].speaker SPEAKER_02
transcript.pyannote[183].start 516.40596875
transcript.pyannote[183].end 518.17784375
transcript.pyannote[184].speaker SPEAKER_02
transcript.pyannote[184].start 518.71784375
transcript.pyannote[184].end 523.17284375
transcript.pyannote[185].speaker SPEAKER_02
transcript.pyannote[185].start 523.45971875
transcript.pyannote[185].end 525.43409375
transcript.pyannote[186].speaker SPEAKER_02
transcript.pyannote[186].start 526.15971875
transcript.pyannote[186].end 528.47159375
transcript.pyannote[187].speaker SPEAKER_02
transcript.pyannote[187].start 528.96096875
transcript.pyannote[187].end 538.76534375
transcript.pyannote[188].speaker SPEAKER_02
transcript.pyannote[188].start 539.32221875
transcript.pyannote[188].end 541.44846875
transcript.pyannote[189].speaker SPEAKER_02
transcript.pyannote[189].start 541.95471875
transcript.pyannote[189].end 542.79846875
transcript.pyannote[190].speaker SPEAKER_02
transcript.pyannote[190].start 543.25409375
transcript.pyannote[190].end 546.96659375
transcript.pyannote[191].speaker SPEAKER_02
transcript.pyannote[191].start 547.84409375
transcript.pyannote[191].end 548.95784375
transcript.pyannote[192].speaker SPEAKER_02
transcript.pyannote[192].start 549.19409375
transcript.pyannote[192].end 550.45971875
transcript.pyannote[193].speaker SPEAKER_02
transcript.pyannote[193].start 551.13471875
transcript.pyannote[193].end 551.70846875
transcript.pyannote[194].speaker SPEAKER_02
transcript.pyannote[194].start 551.99534375
transcript.pyannote[194].end 552.70409375
transcript.pyannote[195].speaker SPEAKER_02
transcript.pyannote[195].start 553.34534375
transcript.pyannote[195].end 554.12159375
transcript.pyannote[196].speaker SPEAKER_02
transcript.pyannote[196].start 554.69534375
transcript.pyannote[196].end 555.38721875
transcript.pyannote[197].speaker SPEAKER_02
transcript.pyannote[197].start 556.01159375
transcript.pyannote[197].end 558.22221875
transcript.pyannote[198].speaker SPEAKER_02
transcript.pyannote[198].start 559.30221875
transcript.pyannote[198].end 562.77846875
transcript.pyannote[199].speaker SPEAKER_02
transcript.pyannote[199].start 563.16659375
transcript.pyannote[199].end 565.46159375
transcript.pyannote[200].speaker SPEAKER_02
transcript.pyannote[200].start 565.86659375
transcript.pyannote[200].end 567.31784375
transcript.pyannote[201].speaker SPEAKER_02
transcript.pyannote[201].start 568.95471875
transcript.pyannote[201].end 570.89534375
transcript.pyannote[202].speaker SPEAKER_02
transcript.pyannote[202].start 571.58721875
transcript.pyannote[202].end 574.37159375
transcript.pyannote[203].speaker SPEAKER_02
transcript.pyannote[203].start 574.92846875
transcript.pyannote[203].end 575.87346875
transcript.pyannote[204].speaker SPEAKER_00
transcript.pyannote[204].start 576.73409375
transcript.pyannote[204].end 583.55159375
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 583.01159375
transcript.pyannote[205].end 585.79596875
transcript.pyannote[206].speaker SPEAKER_00
transcript.pyannote[206].start 584.19284375
transcript.pyannote[206].end 591.70221875
transcript.pyannote[207].speaker SPEAKER_01
transcript.pyannote[207].start 591.70221875
transcript.pyannote[207].end 591.76971875
transcript.pyannote[208].speaker SPEAKER_00
transcript.pyannote[208].start 591.76971875
transcript.pyannote[208].end 591.80346875
transcript.pyannote[209].speaker SPEAKER_00
transcript.pyannote[209].start 591.85409375
transcript.pyannote[209].end 594.36846875
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 593.98034375
transcript.pyannote[210].end 594.08159375
transcript.pyannote[211].speaker SPEAKER_02
transcript.pyannote[211].start 594.48659375
transcript.pyannote[211].end 595.12784375
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 596.08971875
transcript.pyannote[212].end 599.43096875
transcript.pyannote[213].speaker SPEAKER_00
transcript.pyannote[213].start 599.66721875
transcript.pyannote[213].end 602.19846875
transcript.pyannote[214].speaker SPEAKER_02
transcript.pyannote[214].start 599.68409375
transcript.pyannote[214].end 600.10596875
transcript.pyannote[215].speaker SPEAKER_02
transcript.pyannote[215].start 601.38846875
transcript.pyannote[215].end 625.03034375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 603.36284375
transcript.pyannote[216].end 603.63284375
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 617.47034375
transcript.pyannote[217].end 617.80784375
transcript.pyannote[218].speaker SPEAKER_02
transcript.pyannote[218].start 625.36784375
transcript.pyannote[218].end 629.11409375
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 629.08034375
transcript.pyannote[219].end 629.09721875
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 629.11409375
transcript.pyannote[220].end 629.53596875
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 629.65409375
transcript.pyannote[221].end 632.06721875
transcript.pyannote[222].speaker SPEAKER_02
transcript.pyannote[222].start 632.20221875
transcript.pyannote[222].end 632.21909375
transcript.pyannote[223].speaker SPEAKER_00
transcript.pyannote[223].start 632.21909375
transcript.pyannote[223].end 632.55659375
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 632.55659375
transcript.pyannote[224].end 632.59034375
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 632.59034375
transcript.pyannote[225].end 640.58909375
transcript.pyannote[226].speaker SPEAKER_02
transcript.pyannote[226].start 638.24346875
transcript.pyannote[226].end 638.42909375
transcript.pyannote[227].speaker SPEAKER_00
transcript.pyannote[227].start 640.97721875
transcript.pyannote[227].end 643.28909375
transcript.pyannote[228].speaker SPEAKER_02
transcript.pyannote[228].start 642.98534375
transcript.pyannote[228].end 663.92721875
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 646.20846875
transcript.pyannote[229].end 647.15346875
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 655.52346875
transcript.pyannote[230].end 655.92846875
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 661.96971875
transcript.pyannote[231].end 662.30721875
transcript.pyannote[232].speaker SPEAKER_02
transcript.pyannote[232].start 664.06221875
transcript.pyannote[232].end 666.71159375
transcript.pyannote[233].speaker SPEAKER_00
transcript.pyannote[233].start 665.83409375
transcript.pyannote[233].end 667.35284375
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 666.71159375
transcript.pyannote[234].end 666.74534375
transcript.whisperx[0].start 0.279
transcript.whisperx[0].end 9
transcript.whisperx[0].text 接下來我們請楊瓊瓔到位質詢。主席楊瓊瓔發言,邀請部長。請部長。
transcript.whisperx[1].start 15.455
transcript.whisperx[1].end 36.062
transcript.whisperx[1].text 部長,我們今天討論農業界的缺工我記得在107年開始我們努力的把這個問題檯面化終於在108年以事辦的方式800人率先DP執行到現在我們所統計出來
transcript.whisperx[2].start 38.003
transcript.whisperx[2].end 57.84
transcript.whisperx[2].text 顯性的 隱性還不說顯性的大概我們需要的這一些移工的缺口應該會有將近兩萬人那目前當然第二階段一萬兩千人執行到現在大約有七成左右進來 對不對對大概七成嘛那在這樣的情況之下我們在當地地方還是
transcript.whisperx[3].start 65.913
transcript.whisperx[3].end 65.933
transcript.whisperx[3].text 拜訪議員
transcript.whisperx[4].start 96.173
transcript.whisperx[4].end 96.213
transcript.whisperx[4].text 拜託解決這問題!
transcript.whisperx[5].start 116.861
transcript.whisperx[5].end 138.912
transcript.whisperx[5].text 我想我們現在目前就是為了防止說年底以後就斷了一段的時間,所以我們盤了8000人,8000人包括封為農林移蓄這個部分,因為我們負責過來,然後現在就積極的跟勞動部去爭取,去說服他其實勞動的缺工是必要的,來做一個補充。
transcript.whisperx[6].start 139.352
transcript.whisperx[6].end 156.561
transcript.whisperx[6].text 我們當你的後盾阿你有信心一定要爭取到嘛對不對我想勞動部也非常支持農業部的一個提案他們也非常重視阿我們要的是結果再到年底這個界面一定要對接成功繼續加油我們有信心那我們有信心我就給你獎勵鼓勵
transcript.whisperx[7].start 158.882
transcript.whisperx[7].end 178.783
transcript.whisperx[7].text 接下來我們要討論的我們在基層因為我們的這個農業的技術訊息萬變而且行業別也訊息萬變原因裡頭比如說我們的多肉植物現在是很多人不管辦公室大家都非常喜歡這個創造了很多的產值對不對對
transcript.whisperx[8].start 180.725
transcript.whisperx[8].end 208.541
transcript.whisperx[8].text 對﹖
transcript.whisperx[9].start 208.901
transcript.whisperx[9].end 226.226
transcript.whisperx[9].text 但是目前草皮的類別還沒有辦法加入這個行業怎麼辦我跟委員報告特別是我們針對一些新興的這些比較需要的像草皮像一些菇色這些更需要的上一次本席在跟你討論的時候連花卉都沒有最後你加進來對我現在6月7日的時候我們已經新的部分我們會跟勞動部爭取然後另一方面我們會把它降低門檻
transcript.whisperx[10].start 235.288
transcript.whisperx[10].end 237.229
transcript.whisperx[10].text 所以本期請教草皮的部分會放寒這是務必
transcript.whisperx[11].start 256.581
transcript.whisperx[11].end 268.494
transcript.whisperx[11].text 對 我們已經有提案到勞動部去了增加的類別 草皮還有什麼菇吧 芽菜 芽菜 非常的重要 菇 菇在我的心色 我們現在連菇 菇菌種都我們農會自己來協助
transcript.whisperx[12].start 278.185
transcript.whisperx[12].end 281.612
transcript.whisperx[12].text 這是為國爭光啊 為國爭光 所以菇類 草皮都會在這一次 芽菜 什麼時候會公布
transcript.whisperx[13].start 288.82
transcript.whisperx[13].end 311.876
transcript.whisperx[13].text 我想我們在實驗程序上一定要跟勞動部協調然後跟他整理你預估的KPI的時間點在什麼時候我都希望在年底之前都能夠完成啦當然越快越好啊不可能到年底現在才6月我知道你怎麼可能半年你不做事嗎因為勞動部我想勞動部他有定期的這樣開會然後審查的一個機制然後我們會怎麼審也不要審到半年啊
transcript.whisperx[14].start 312.837
transcript.whisperx[14].end 316.862
transcript.whisperx[14].text 大家都知道非常的迫切需要啊我們農民一天都不能等欸我再跟勞動部拜託齁能夠加速的審查加速審查競速開放草皮香菇菇菇類那個
transcript.whisperx[15].start 328.197
transcript.whisperx[15].end 343.395
transcript.whisperx[15].text 那個銀芽芽菜都要開放因為他有一部分還要修法部長你真的要謝謝我們台中地區的這個草皮像我們的勇旺公司是
transcript.whisperx[16].start 344.622
transcript.whisperx[16].end 359.6
transcript.whisperx[16].text 二三十年全家董總動員不斷的在推陳初心為我們國家賺了這麼多的稅所以我們要全力支持他像我們的香菇我們做到被人欺負之後我們甚至農會你們輔導的我要謝謝我們自己
transcript.whisperx[17].start 363.137
transcript.whisperx[17].end 363.757
transcript.whisperx[17].text 我們現在三天現在一共多少?
transcript.whisperx[18].start 394.449
transcript.whisperx[18].end 394.709
transcript.whisperx[18].text 25.5元現在29元
transcript.whisperx[19].start 408.999
transcript.whisperx[19].end 428.666
transcript.whisperx[19].text 甚至有人說再來給我第一家好辛苦一箱甚至一箱一箱300塊怎麼辦您上次跟我本席討論的從寡產機對那麼你說一個月我們要有這個50萬隻120萬齁你要維持兩個月大概60萬維持兩個月嗎維持兩個月每一個月增加淘汰50萬隻應該是60萬120變成180
transcript.whisperx[20].start 440.132
transcript.whisperx[20].end 452.944
transcript.whisperx[20].text 60萬隻 一隻補助多少 20塊 一隻補助20塊部長你冷靜去想好不容易生出來的雞蛋 過量甚至要去餵豬 心痛啊
transcript.whisperx[21].start 453.891
transcript.whisperx[21].end 477.601
transcript.whisperx[21].text 接下來我們要看到人民的納稅錢因為你的產銷沒有去安排好我們還要一支補助20塊這都是人民的納稅錢你的產銷機制你現在希望控制在2400萬克 對不對你現在希望控制這樣子那所以本席也具體給你建立你的產銷機制
transcript.whisperx[22].start 479.929
transcript.whisperx[22].end 483.751
transcript.whisperx[22].text 你的產銷機制必須好好的去盤點好不好你沒有去盤點一架子又要我們補助一隻寡產母雞20塊這都是我們的錢欸60萬隻double120萬隻又要花多少錢啊產生出來的雞蛋還要送給豬吃哇這個是他存起來還要冷藏還要電費農民苦哈哈雞農苦哈哈欸
transcript.whisperx[23].start 508.735
transcript.whisperx[23].end 524.998
transcript.whisperx[23].text 不可以如此你去盤點我們要怎麼樣在產銷能夠平穩你把數量資料給本席好不好好最後一個議題我給你也就是你知道本席非常關心的我們流浪的遊蕩的這些犬貓
transcript.whisperx[24].start 526.206
transcript.whisperx[24].end 546.644
transcript.whisperx[24].text 那我們現在有說啊天啊天啊的機制你的SOP流程你整個要完善啊我說你今天手術之後你應該要有讓他們幾天的觀察期才可以回治嘛你現在第26條告訴我你們告訴我只要一天
transcript.whisperx[25].start 547.905
transcript.whisperx[25].end 563.932
transcript.whisperx[25].text 一天可以嗎?腸子破掉了!肚子也破了!這怎麼辦啊?可以嗎?所以本期具體建議你應該要將這個TNR的手冊裡面要嚴格的去落實到它上面基層都建議回治的時間要手術後的5天部長你認為呢?
transcript.whisperx[26].start 576.972
transcript.whisperx[26].end 577.112
transcript.whisperx[26].text 對﹖這個基本
transcript.whisperx[27].start 596.124
transcript.whisperx[27].end 604.227
transcript.whisperx[27].text 第一件希望五天我希望你去盤點至少要三天好不好好不好你把數字告訴本席因為你們更離譜叫說回字過去肚子破掉的說請周邊的居民你請看一下他到底在哪裡所以本期第二項建議第一個時間點你們去盤點本期具體建議至少要三天回字第二個具體建議手術之後也應該要有放晶片你們去研議
transcript.whisperx[28].start 625.416
transcript.whisperx[28].end 625.436
transcript.whisperx[28].text 拜託!
transcript.whisperx[29].start 640.879
transcript.whisperx[29].end 640.959
transcript.whisperx[29].text 主席