The Evaluation Gap in Astronomy—Explained through a Rational Choice Framework

Author:

Heuritsch Julia1ORCID

Affiliation:

1. Research Group “Reflexive Metrics”, Institut für Sozialwissenschaften, Humboldt Universität zu Berlin, Universitätsstraße 3b, 10117 Berlin, Germany

Abstract

The concept of evaluation gaps captures potential discrepancies between what researchers value about their research, in particular research quality, and what metrics measure. The existence of evaluation gaps can give rise to questions about the relationship between intrinsic and extrinsic motivations to perform research, i.e., how field-specific notions of quality compete with notions captured via evaluation metrics, and consequently how researchers manage the balancing act between intrinsic values and requirements of evaluation procedures. This study analyses the evaluation gap from a rational choice point of view for the case of observational astronomers, based on a literature review and 19 semi-structured interviews with international astronomers. On the basis of the institutional norms and capital at play in academic astronomy, I shed light on the workings of the balancing act and its consequences on research quality in astronomy. I find that astronomers experience an anomie: they want to follow their intrinsic motivation to pursue science in order to push knowledge forward, while at the same time following their extrinsic motivation to comply with institutional norms. The balancing act is the art of serving performance indicators in order to stay in academia, while at the same time compromising research quality as little as possible. Gaming strategies shall give the appearance of compliance, while institutionalised means to achieve a good bibliometric record are used in innovative ways, such as salami slicing or going for easy publications. This leads to an overall decrease in research quality.

Funder

BMBF (German Bundesministerium für Bildung und Forschung

Publisher

MDPI AG

Subject

Computer Science Applications,Media Technology,Communication,Business and International Management,Library and Information Sciences

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4. Desrosières, A. (1998). The Politics of Large Numbers—A History of Statistical Reasoning, Harvard University Press.

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