How Values and Uncertainty Shape Scientific Advance in Peer Review

Loading...

Date

2025-10

Journal Title

Journal ISSN

Volume Title

Repository Usage Stats

4
views
13
downloads

Citation Stats

Attention Stats

Abstract

<jats:p>Tens of thousands of scientists contribute to peer review as journal editors and reviewers of the millions of manuscripts submitted every year. How do they decide what is quality work? What values do they apply in evaluating which science merits publication and which does not? How do they respond to dissensus and uncertainty? Who has the greatest influence over the final outcome? This study combines close reading with large language models to analyze 80,000 reviews of 28,000 accepted and rejected manuscripts in engineering and the life sciences. By following reviewers’ value judgments and editorial decisions, we come to a different view of how epistemic cultures are practiced in journal science. Instead of a consensual dialogue revealing salient norms, we find reviewers differently weigh (“commensurate”) their judgments to attribute value to works. Their pluralistic viewpoints elevate uncertainty about the work, and editors respond by aligning with the most negative of reviewers. Surprisingly, we observe engineers and life scientists find the same epistemic criteria are salient, valued, and influential, with novelty and accuracy being primary. These results underscore how contingency and uncertainty are structural features of STEM peer review and essential to its effectiveness and legitimacy.</jats:p>

Department

Description

Provenance

Subjects

Citation

Published Version (Please cite this version)

10.1177/00031224251362254

Publication Info

Smith, DS, NN Kennard, T Du and DA McFarland (2025). How Values and Uncertainty Shape Scientific Advance in Peer Review. American Sociological Review, 90(5). pp. 879–915. 10.1177/00031224251362254 Retrieved from https://hdl.handle.net/10161/33422.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.

Scholars@Duke

Smith

Daniel Scott Smith

Assistant Professor of Sociology

I study pluralism, innovation, and authority in science using computational tools. My empirical settings are both historical and contemporary, ranging from scientific peer review and publications to patents and legislation.


Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.