Abstract
This paper offers a new angle on the common idea that the process of science does not support epistemic diversity. Under minimal assumptions on the nature of journal editing, we prove that editorial procedures, even when impartial in themselves, disadvantage less prominent research programs. This purely statistical bias in article selection further skews existing differences in the success rate and hence attractiveness of research programs, and exacerbates the reputation difference between the programs. After a discussion of the modeling assumptions, the paper ends with a number of recommendations that may help promote scientific diversity through editorial decision making.
Original language | English |
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Pages (from-to) | 1-20 |
Number of pages | 21 |
Journal | Philosophers' Imprint |
Volume | 19 |
Issue number | 39 |
Publication status | Published - Sept-2019 |
Keywords
- Philosophy of science
- Social structure of science
- Cognitive division of labor
- Matthew effect
- Social epistemology
- Formal epistemology
- BIAS
Fingerprint
Dive into the research topics of 'Epistemic Diversity and Editor Decisions: A Statistical Matthew Effect'. Together they form a unique fingerprint.Prizes
-
Understanding Statistical Biases in Peer Review
Heesen, R. (Recipient), 2018
Prize: Fellowship awarded competitively › Academic
-
Organizing Science: The Social Epistemology of Scientists and their Incentives
Heesen, R. (Recipient), Jul-2016
Prize: Fellowship awarded competitively › Academic