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Publication Detailed Description
The generational gap of science: a dynamic cluster analysis of doctorates in an evolving scientific system
Journal Title
Scientometrics
Year (definitive publication)
2015
Language
English
Country
Netherlands
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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.
Acknowledgements
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Keywords
Doctorates,Dynamic cluster analysis,Pathway analysis,Post-doctorates,Profile of doctorates
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
- Media and Communications - Social Sciences
