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Governing Science through Evaluation: A Global Heuristic of Research Evaluation Regimes

Authors: Cramer, Meta; Reinhart, Martin;

Governing Science through Evaluation: A Global Heuristic of Research Evaluation Regimes

Abstract

This article investigates research evaluation regimes from a global-comparative perspective by developing a critical heuristic. Starting from Michael Power’s argument that evaluations are essentially linked to modes of governing, we highlight the role of political programmes, informality and questions of (de-)centralisation to understand the modes of governing science through research evaluation regimes. While a large body of literature has studied research evaluation systems individually and from a comparative perspective, we observe an underlying methodological nationalism in the field which sidelines regional or transnational constellations. We show that the predominant case-based approach neglects the diverse constellations of evaluating and evaluated actors and non-centralised research evaluation regimes as well as informal dynamics. Based on this, we argue to account for the diversity of actors and logics as well as informal, normative and performative aspects of research evaluation regimes. Building on insights in the sociology of valuation, we critically reframe accounts of centralised research evaluation systems with one core evaluating body by describing the constellation of evaluating and funding actors as heterarchical. The article presents a heuristic distinguishing research evaluation regimes along four dimensions of characteristics – the constellation of actors (1), procedures (2), functions (3), and programmes and values (4) – to better understand the governing of science through evaluation from a transnational perspective. The heuristic is presented as a starting point to conduct context-sensitive, comparative studies of research evaluation regimes to promote a more nuanced understanding of power constellations and modes of governing science.

Related Organizations
Keywords

research evaluation, science policy, governance of science, Bibliometrics

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid
Related to Research communities
Science and Innovation Policy Studies