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The generational gap of science: a dynamic cluster analysis of doctorates in an evolving scientific system

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  • João M. Santos

    (University of Lisbon)

  • Hugo Horta

    (The University of Hong Kong)

Abstract

The features of science and technology (S&T) systems change over time. Simultaneously, at an individual level, the characteristics of actors in these systems also change concomitantly. In this study, the characteristics of doctorates in a changing S&T system are analyzed. This is performed by a series of cluster analyses on doctorates—with the goal of identifying shifting profiles—in strategic periods spanning three decades, which represents milestones in an evolving S&T system. A series of archetypal profiles of doctorates are identified, including changes to the relative weights of each of them, along with a pattern of alternating convergence and divergence over time on the characteristics of these doctorates.

Suggested Citation

  • João M. Santos & Hugo Horta, 2015. "The generational gap of science: a dynamic cluster analysis of doctorates in an evolving scientific system," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 381-406, July.
  • Handle: RePEc:spr:scient:v:104:y:2015:i:1:d:10.1007_s11192-015-1558-x
    DOI: 10.1007/s11192-015-1558-x
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    1. Shmatko, Natalia & Katchanov, Yurij & Volkova, Galina, 2020. "The value of PhD in the changing world of work: Traditional and alternative research careers," Technological Forecasting and Social Change, Elsevier, vol. 152(C).

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