Arvan, Marcus and Bright, Liam Kofi and Heesen, Remco (2020) Jury Theorems for Peer Review. [Preprint]

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Abstract

Peer review is often taken to be the main form of quality control on academic research. Usually journals carry this out. However, parts of math and physics appear to have a parallel, crowd-sourced model of peer review, where papers are posted on the arXiv to be publicly discussed. In this paper we argue that crowd-sourced peer review is likely to do better than journal-solicited peer review at sorting papers by quality. Our argument rests on two key claims. First, crowd-sourced peer review will lead on average to more reviewers per paper than journal-solicited peer review. Second, due to the wisdom of the crowds, more reviewers will tend to make better judgments than fewer. We make the second claim precise by looking at the Condorcet Jury Theorem as well as two related jury theorems developed specifically to apply to peer review.

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Item Type:	Preprint
Creators:	Creators Email ORCID Arvan, Marcus marvan@ut.edu Bright, Liam Kofi liamkbright@gmail.com 0000-0001-5450-8748 Heesen, Remco remco.heesen@uwa.edu.au 0000-0003-3823-944X
Keywords:	Philosophy of science Peer review Condorcet Jury Theorem Formal epistemology Social epistemology Bias
Subjects:	General Issues > Decision Theory Specific Sciences > Probability/Statistics General Issues > Science and Policy General Issues > Social Epistemology of Science
Depositing User:	Remco Heesen
Date Deposited:	22 Aug 2020 03:18
Last Modified:	22 Aug 2020 03:18
Item ID:	18011
Subjects:	General Issues > Decision Theory Specific Sciences > Probability/Statistics General Issues > Science and Policy General Issues > Social Epistemology of Science
Date:	21 August 2020
URI:	https://philsci-archive.pitt.edu/id/eprint/18011

Available Versions of this Item

• Jury Theorems for Peer Review. (deposited 25 Apr 2019 12:52)
  • Jury Theorems for Peer Review. (deposited 22 Aug 2020 03:18) [Currently Displayed]
    • Jury Theorems for Peer Review. (deposited 30 Jan 2022 05:07)

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