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The world-systemic network of global elite sociology: the western male monoculture at faculties of the top one-hundred sociology departments of the world

Author

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  • Marton Demeter

    (National University of Public Service)

  • Tamas Toth

    (Corvinus University)

Abstract

In this paper, we analyze the educational paths and networks of core staff members (n = 3325) of the world’s top 100 sociology departments. Results show that a significant overrepresentation of central countries and considerable gender bias can be found throughout sociology departments with strong male dominance in high positions. By using an improved word-systemic model for the interpretation of our data, we were able to categorize the main agents and patients in the world-system of global elite sociology, and we could also describe those centripetal and centrifugal forces that absorb and reeducate peripheral talent while excluding those without Western reeducation.

Suggested Citation

  • Marton Demeter & Tamas Toth, 2020. "The world-systemic network of global elite sociology: the western male monoculture at faculties of the top one-hundred sociology departments of the world," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2469-2495, September.
    • Handle: RePEc:spr:scient:v:124:y:2020:i:3:d:10.1007_s11192-020-03563-w
    DOI: 10.1007/s11192-020-03563-w
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    References listed on IDEAS

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    Cited by:

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    3. Mario González-Sauri & Giulia Rossello, 2023. "The Role of Early-Career University Prestige Stratification on the Future Academic Performance of Scholars," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(1), pages 58-94, February.
    4. János József Tóth & Gergő Háló & Manuel Goyanes, 2023. "Beyond views, productivity, and citations: measuring geopolitical differences of scientific impact in communication research," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5705-5729, October.
    5. György Csomós & Jenő Zsolt Farkas, 2023. "Understanding the increasing market share of the academic publisher “Multidisciplinary Digital Publishing Institute” in the publication output of Central and Eastern European countries: a case study o," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 803-824, January.
    6. Diego Kozlowski & Jennifer Dusdal & Jun Pang & Andreas Zilian, 2021. "Semantic and relational spaces in science of science: deep learning models for article vectorisation," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5881-5910, July.

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