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将同行评审重新构想为一种专家 elicitation 过程。

Reimagining peer review as an expert elicitation process.

机构信息

Centre for Argument Technology, School of Science and Engineering (Computing), University of Dundee, Dundee, UK.

School of Communication and Arts, The University of Queensland, Brisbane, QLD, Australia.

出版信息

BMC Res Notes. 2022 Apr 5;15(1):127. doi: 10.1186/s13104-022-06016-0.

Abstract

Journal peer review regulates the flow of ideas through an academic discipline and thus has the power to shape what a research community knows, actively investigates, and recommends to policymakers and the wider public. We might assume that editors can identify the 'best' experts and rely on them for peer review. But decades of research on both expert decision-making and peer review suggests they cannot. In the absence of a clear criterion for demarcating reliable, insightful, and accurate expert assessors of research quality, the best safeguard against unwanted biases and uneven power distributions is to introduce greater transparency and structure into the process. This paper argues that peer review would therefore benefit from applying a series of evidence-based recommendations from the empirical literature on structured expert elicitation. We highlight individual and group characteristics that contribute to higher quality judgements, and elements of elicitation protocols that reduce bias, promote constructive discussion, and enable opinions to be objectively and transparently aggregated.

摘要

期刊同行评审调节学术领域中思想的流动,因此具有塑造研究界所知、积极调查并向政策制定者和更广泛公众推荐的能力。我们可能认为编辑可以识别“最佳”专家,并依赖他们进行同行评审。但数十年来关于专家决策和同行评审的研究表明,他们做不到这一点。在缺乏明确标准来区分可靠、有见地和准确的研究质量评估专家的情况下,防止不必要的偏见和权力分配不均的最佳保障是在该过程中引入更大的透明度和结构。本文认为,同行评审将受益于从结构化专家征询的实证文献中应用一系列基于证据的建议。我们强调有助于提高判断质量的个人和群体特征,以及减少偏见、促进建设性讨论并使意见能够客观和透明地汇总的征询协议要素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acb0/8981826/0a3344bd06e5/13104_2022_6016_Fig1_HTML.jpg

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