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The three cultures in American science: publication productivity in physics, history and economics

Author

Listed:
  • Gad Yair

    (The Hebrew University of Jerusalem)

  • Keith Goldstein

    (The Hebrew University of Jerusalem)

  • Nir Rotem

    (University of Minnesota)

  • Anthony J. Olejniczak

    (Academic Analytics Research Center)

Abstract

In 1959 Lord Charles Percy Snow delivered a scathing critique of the bifurcation of scientists into two cultures: The humanists and the natural scientists. Five decades later, Jerome Kagan retorted that the university has actually evolved into three cultures—adding the social sciences as a distinct discipline with its own language, aims, and commitments. In the present study we evaluate one dimension of the ‘three cultures hypothesis,’ by addressing productivity patterns in physics (the natural sciences), history (the humanities) and economics (the social sciences). To do this, we analyze a unique dataset of faculty productivity in 279 American Ph.D. granting universities, utilizing 15 years of data from 6064 physicists, 5508 historians, and 4960 economists. The results support this major facet of the 'three cultures hypothesis’ by showing that productivity norms are truly different across the disciplines. Physicists publish enormous quantities of papers but very few books. Historians, in contrast, gravitate towards book publishing but author few papers. Productivity norms in economics take a middle ground between physics and history. We found those three disciplinary norms to be invariant across individuals and institutes. As academic administrators worldwide embrace ‘new management’ practices, these findings—speaking for the existence of profound disciplinary differences in productivity—are vital for a sober discussion of the future of universities.

Suggested Citation

  • Gad Yair & Keith Goldstein & Nir Rotem & Anthony J. Olejniczak, 2022. "The three cultures in American science: publication productivity in physics, history and economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 2967-2980, June.
  • Handle: RePEc:spr:scient:v:127:y:2022:i:6:d:10.1007_s11192-022-04396-5
    DOI: 10.1007/s11192-022-04396-5
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    References listed on IDEAS

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    1. Ruiz-Castillo, Javier & Costas, Rodrigo, 2018. "Individual and field citation distributions in 29 broad scientific fields," Journal of Informetrics, Elsevier, vol. 12(3), pages 868-892.
    2. Fredrik Niclas Piro & Dag W. Aksnes & Kristoffer Rørstad, 2013. "A macro analysis of productivity differences across fields: Challenges in the measurement of scientific publishing," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 307-320, February.
    3. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Soldatenkova, Anastasiia, 2017. "An investigation on the skewness patterns and fractal nature of research productivity distributions at field and discipline level," Journal of Informetrics, Elsevier, vol. 11(1), pages 324-335.
    4. Ruiz-Castillo, Javier & Costas, Rodrigo, 2014. "The skewness of scientific productivity," Journal of Informetrics, Elsevier, vol. 8(4), pages 917-934.
    5. Gad Yair & Nofar Gueta & Nitza Davidovitch, 2017. "The law of limited excellence: publication productivity of Israel Prize laureates in the life and exact sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 299-311, October.
    6. Esther-Mirjam Sent, 1999. "Economics of science: survey and suggestions," Journal of Economic Methodology, Taylor & Francis Journals, vol. 6(1), pages 95-124.
    7. Koen Jonkers & Thomas Zacharewicz, 2015. "Performance based funding: a comparative assessment of their use and nature in EU Member States – a working paper," JRC Research Reports JRC97684, Joint Research Centre.
    8. Marek Kwiek, 2018. "High research productivity in vertically undifferentiated higher education systems: Who are the top performers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 415-462, April.
    9. Fredrik Niclas Piro & Dag W. Aksnes & Kristoffer Rørstad, 2013. "A macro analysis of productivity differences across fields: Challenges in the measurement of scientific publishing," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(2), pages 307-320, February.
    10. Giovanni Abramo & Ciriaco Andrea D’Angelo & Alessandro Caprasecca, 2009. "The contribution of star scientists to overall sex differences in research productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 137-156, October.
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