开放同行评审中审稿人自我报告的自信与评价广度/深度

Reviewer self‐reported confidence and evaluation breadth/depth in open peer review

Journal of the Association for Information Science and Technology (JASIST) · 2026
被引 0 · 同刊同年前 8%
ABS 3

中文导读

利用开放同行评审平台的大规模数据,研究了审稿人自我报告的自信如何影响其评价的广度和深度,发现自信与广度负相关、与深度正相关,且在不同评价维度上模式不同。

Abstract

Abstract Understanding how reviewer self‐reported confidence shapes evaluation behavior is vital, as it influences editorial decisions, the identification of methodological flaws, and which research directions gain prominence. However, prior studies have rarely examined how self‐reported confidence affects both the breadth and depth of review content across distinct evaluative dimensions. This study addresses this gap using large‐scale data from an open peer review platform to analyze the relationship between reviewer self‐reported confidence and evaluation breadth and depth. Results show that self‐reported confidence is negatively associated with breadth, meaning reviewers with higher confidence focus on fewer dimensions. However, it is positively associated with depth, as reviewers with higher confidence provide more detailed, rigorous feedback within chosen dimensions. Dimension‐specific analyses show heterogeneous focus patterns. For soundness, reviewers with higher confidence attend to fewer aspects without adding depth; for contribution, they narrow focus but deepen feedback; for novelty, they broaden focus and increase depth. These findings align with attention allocation theory, suggesting that reviewers with higher confidence selectively allocate attention to dimensions they deem most relevant or demanding.

同行评审学术评价审稿行为注意力分配