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        <datestamp>2025-01-19T18:45:55Z</datestamp>
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          <dc:title>『みんなで翻刻』の運用成果と参加動向の報告</dc:title>
          <dc:title xml:lang="en">The Operational Performance and Participation Trends of Minna de Honkoku</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>橋本, 雄太</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>加納, 靖之</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>一方井, 祐子</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>小野, 英理</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Yuta, Hashimoto  Yasuyuki Kano  Yuko Ikkatai  Eiri Ono</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:subject subjectScheme="Other">クラウドソーシング; シチズンサイエンス; 翻刻; Volunteer Functional Inventory</jpcoar:subject>
          <datacite:description descriptionType="Other">『みんなで翻刻』は，京都大学古地震研究会によって開発された，歴史文献の市民参加型翻刻プラットフォームである．もともと『みんなで翻刻』は東京大学地震研究所が所蔵する災害史料の翻刻プロジェクトとして2017年1月に出発したが，当初の目的を達成したことを受け，2019年7月に歴史資料一般の翻刻プラットフォームとして再公開された．本稿では，この新バージョンの『みんなで翻刻』について，公開後約15ヶ月間の運用を通じて得られた成果と，アンケート調査等を通じて判明した参加者の社会的属性や参加動機を報告する．また，新バージョンで導入したくずし字認識AIがもたらした影響についても議論する．</datacite:description>
          <datacite:description descriptionType="Other">Minna de Honkoku is an online crowdsourcing platform designed by Historical Earthquake Study Group at Kyoto University to transcribe a large volume of historical documents. The project originally started as a transcription project of historical disaster records stored by the Earthquake Research Institute at the University of Tokyo. It was later converted to a transcription platform for historical documents in general. This paper reports on (1) the results of this system over the past 15 months since its launch, (2) the backgrounds and motivations of the project participants revealed by our online questionnaire, and (3) the effect of Kuzushiji AI introduced to this new version.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2020-12-05</datacite:date>
          <dc:language>jpn</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_5794">conference paper</dc:type>
          <jpcoar:identifier identifierType="URI">https://ipsj.ixsq.nii.ac.jp/records/208675</jpcoar:identifier>
          <jpcoar:sourceTitle>じんもんこん2020論文集</jpcoar:sourceTitle>
          <jpcoar:volume>2020</jpcoar:volume>
          <jpcoar:pageStart>39</jpcoar:pageStart>
          <jpcoar:pageEnd>46</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2021-12-05</datacite:date>
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