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Revisiting the academic–practitioner divide

Evidence from computational social science and corpus linguistics

Datos Bibliográficos

ID6365986
AutoresRichard M Walker (0000-0003-1503-1814, Laboratory for Public Management and Policy, Department of Public and International Affairs City University of Hong Kong Kowloon Tong Hong Kong, autor de correspondencia), Jiasheng Zhang (0000-0002-2994-6217, Department of Government and Public Administration, Humanities and Social Sciences Building (E21B) University of Macau Taipa, Macau China), Yanto Chandra (0000-0003-1083-5813, Laboratory for Public Management and Policy, Department of Public and International Affairs City University of Hong Kong Kowloon Tong Hong Kong), Binzizi Dong (0000-0002-1471-2661, Laboratory for Public Management and Policy, Department of Public and International Affairs City University of Hong Kong Kowloon Tong Hong Kong), Yao Wang (0000-0002-7024-4233, Laboratory for Public Management and Policy, Department of Public and International Affairs City University of Hong Kong Kowloon Tong Hong Kong)
Año2023
Volumen83
Número6
Páginas1599-1617
Fecha de publicación2023-08-29
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaPublic Administration Review (JOURNAL)
Identificadores de la revistaISSN: 0033-3352 • E-ISSN: 1540-6210
EditorialWiley (PUBLISHER • GB)
DOI10.1111/puar.13724
OpenAlexW4386255656
IdiomaEN
Citas recibidas8
Referencias citadas40

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

Argument (complex analysis · Computational linguistics · Convergence (economics · Corpus linguistics · Linguistics · Period (music · Political science · Relevance (law · Sociology · Artificial Intelligence · Climate Change Communication and Perception · Computational and Text Analysis Methods · Computer Science · Medicine · Public Policy and Administration Research

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Obras citantes distintas8
Citas por año2,67
Intervalo de citas2023 - 2026 (4)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 8
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