Revisiting the academic–practitioner divide: Evidence from computational social science and corpus linguistics.

As a design science, public administration is focused on addressing real‐world problems. However, within public administration argument and evidence on the relevance of academic research to practice agendas is equivocal. We investigate the "academic–practitioner divide" using computational social sc...

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Publicado en:Public Administration Review Vol. 83; no. 6; pp. 1599 - 1618
Autores principales: Walker, Richard M., Zhang, Jiasheng, Chandra, Yanto, Dong, Binzizi, Wang, Yao
Formato: Artículo
Publicado: Wiley-Blackwell Nov2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Revisiting the academic–practitioner divide: Evidence from computational social science and corpus linguistics.
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        au:
          Walker, Richard M.
          Zhang, Jiasheng
          Chandra, Yanto
          Dong, Binzizi
          Wang, Yao
        affil:
          Laboratory for Public Management and Policy, Department of Public and International Affairs, City University of Hong Kong, Kowloon Tong, Hong Kong
          Department of Government and Public Administration, Humanities and Social Sciences Building (E21B), University of Macau, Taipa, Macau, China
      su:
        Public administration
        Corpora
        Linguistic analysis
        Design science
        University research
      sug:
        subj:
          Public administration
          Other General Government Support
          Corpora
          Linguistic analysis
          Design science
          University research
      ab: As a design science, public administration is focused on addressing real‐world problems. However, within public administration argument and evidence on the relevance of academic research to practice agendas is equivocal. We investigate the "academic–practitioner divide" using computational social science techniques to identify the topics of "academic," "academic–practitioner," and practitioner corpora over a 25‐year period. Topic modeling results of the 50 topics identified in each of these corpora suggest that the topics of academics and practitioners have more differences than similarities: nearly seven‐tenths of the identified topics differ between the practice corpus and the academic and academic–practice corpora. Corpus linguistics analysis is applied to contrast the keyness of topics over time, and the results confirm the largely different agendas of the corpora albeit with some convergence on governance and outcomes. Corpora examined in this article is largely suggestive of a lack of relevance of academic research to practice agendas.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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