High research productivity in vertically undifferentiated higher education systems: Who are the top performers?

dc.contributor.authorKwiek, Marek
dc.date.accessioned2019-02-28T13:44:47Z
dc.date.available2019-02-28T13:44:47Z
dc.date.issued2018-03-10
dc.description.abstractThe growing scholarly interest in research top performers comes from the growing policy interest in research top performance itself. A question emerges: what makes someone a top performer? In this paper, the upper 10% of Polish academics in terms of research productivity are studied, and predictors of entering this class are sought. In the science system (and Poland follows global patterns), a small number of scholars producemost of theworks and attract huge numbers of citations. Performance determines rewards, and small differences in talent translate into a disproportionate level of success, leading to inequalities inresources, research outcomes, and rewards.Top performers are studied here through a bivariate analysis of their working time distribution and their academic role orientation, as well as through a model approach. Odds ratio estimates with logistic regression of being highly productive Polish academics are presented. Consistently across major clusters of academic disciplines, the tinyminority of 10%of academics produces about half (44.7%) of all Polish publications (48.0% of publications in English and 57.2% of internationally coauthored publications). Themean research productivity of top performers acrossmajor clusters is on average 7.3 times higher than that of the other academics, and in terms of internationally co-authored publications, 12.07 times higher. High inequality was observed: the average research productivity distribution is highly skewedwith a long tail on the right not only for all Polish academics but also for top performers. The class of top performers is as internally stratified as that of their lower-performing colleagues. Separate regressionmodels for all academics, science, technology, engineering and mathematics academics, and social sciences and humanities academics are built based on a large national sample (2525 usable observations), and implications are discussed.pl
dc.identifier.citationScientometrics. 115(1): 415-462pl
dc.identifier.urihttp://hdl.handle.net/10593/24422
dc.language.isoengpl
dc.publisherSpringerpl
dc.rightsinfo:eu-repo/semantics/openAccesspl
dc.subjectInequality in sciencepl
dc.subjectPublication productivitypl
dc.subjectLotka’s square lawpl
dc.subjectStratification in sciencepl
dc.subjectReward structurepl
dc.subjectSkewed distributionpl
dc.subjectStarspl
dc.subjectCumulative advantagepl
dc.subjectPolandpl
dc.subjecthighly productive scientistspl
dc.subjectsociology of academic careerspl
dc.subjectPolish higher educationpl
dc.titleHigh research productivity in vertically undifferentiated higher education systems: Who are the top performers?pl
dc.typeArtykułpl

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