When career-boosting is on the line: Equity and inequality in grant evaluation, productivity, and the educational backgrounds of Marie Skłodowska-Curie Actions individual fellows in social sciences and humanities
IF 3.4 2区 管理学Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Tamás Tóth PhD (Assistant Professor) , Márton Demeter PhD (Full Professor) , Sándor Csuhai , Zsolt Balázs Major PhD (Associate Professor)
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引用次数: 0
Abstract
Prestigious academic scholarships are highly competitive, so using appropriate evaluation criteria is important. In this study, we analyzed 259 Marie Skłodowska-Curie Actions (MSCA) grantees in social sciences and humanities to see their composition in terms of productivity, educational background, mobility, and gender. Based on quantitative content analysis, linear regressions, and network analyses, the findings reveal that while most grantees significantly improved in their production after funding, there are many awardees with weak or even invisible publication records on Scopus both prior to and following their awards. Most of the scholars who had already been prolific prior to their grant continued to be productive after funding, while many awardees with weak past performances were even less productive after winning the scholarship. In terms of gender, we found no Matilda effect in the grant allocation process; while in terms of production, male scholars benefit more from the grant than females. The outcomes also show that Western countries dominate both the awardees’ education trajectories and their host institutions. Our conclusion is that the geographic diversity among the awardees should be developed and that the evaluation process should focus on pre-MSCA performance to support the most promising applicants.
期刊介绍:
Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.