Abstract
A possible side effect of several research evaluation schemes adopted by governments and research organizations is the discouragement of research diversification and cross-discipline fertilization, which are crucial for major global scientific challenges. This work intends to contribute to the literature stream investigating such initiatives’ effects on scientists’ specialization/diversification strategies. To this purpose, we analyze the response of academics to the introduction of the national scientific accreditation (ASN) for professorship introduced in Italy in 2012. We will conduct a longitudinal disciplinary analysis of the publications of each Italian university professor in the sciences (over 25.000), accounting for those individual and contextual variables that might moderate the opportunistic response to the ASN incentive scheme.
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Notes
Presidential decree 222 of 14/09/2011.
Ministry of Education, Universities and Research Ministerial decree 76 of 07/06/2012.
Initially the regulations required achievement of thresholds in all the three indicators, but after heated debate this was modified in consideration of the conditions of different sectors.
The reason for introducing the CSs, unifying two or more SDSs into a single CS, is probably to reduce the number of accreditation committees, and therefore evaluators. SDSs were unified based on cognitive proximity and number of professors falling into them.
For the “non-bibliometric” CSs, the indicators were not based on citations.
For applicants to positions as evaluation committee members, the indicators were the number and the impact of overall scientific production, without normalization for years of academic seniority.
Such data were retrieved from the ASN pages of the MIUR website http://abilitazione.miur.it/public/candidati.php?sersel=50&, but are no longer available. Subject to regulation, the ministry withdrew most data 60 days after the committee decisions, leaving only the lists of successful candidates.
For each professor this database provides information on their name and surname, gender, affiliation, SDS and academic rank, at close of each year. http://cercauniversita.cineca.it/php5/docenti/cerca.php, last access on 9 January 2024.
The harmonic average of precision and recall (F-measure) of authorships, as disambiguated by the algorithm, is around 97% (2% margin of error, 98% confidence interval).
The sum of the values referred to the listed SCs is above 55, due to publications hosted in multi-SC journals.
We observe a five year period to avoid the random fluctuations of yearly observations.
To build the variable StatusASN, we refer to the 2012 academic rank, just before the ASN. If the professor has no records in 2012 (due to no publications in that year), we refer to the academic rank in the latest observed year. Note that the dataset does not distinguish whether an assistant professor would be seeking accreditation for advancement to associate or full professor, however the latter case would be so rare that it can be ignored.
0.226% = EXP(0.00226)—1.
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Acknowledgements
This manuscript is an extended version of a previous work presented at the 19th International Society of Scientometrics and Informetrics Conference—(ISSI 2023) 2-5 July 2023, Bloomington, Indiana, (Abramo & D’Angelo, 2023). This research was co-funded by the Italian Ministry of Education, Universities, and Research, BANDO PRIN 2017NKWYFC “The effects of evaluation on academic research: knowledge production and methodological issues”.
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Abramo, G., D’Angelo, C.A. & Di Costa, F. Do research assessment systems have the potential to hinder scientists from diversifying their research pursuits?. Scientometrics (2024). https://doi.org/10.1007/s11192-024-04959-8
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DOI: https://doi.org/10.1007/s11192-024-04959-8