评估者与被评估者之间的匹配度测量：期刊水平上小组成员与研究小组之间的认知距离
Measuring the match between evaluators and evaluees: Cognitive distances between panel members and research groups at the journal level
摘要：
当研究小组由专家小组进行评估时，如何确定小组与研究小组之间的匹配是一个悬而未决的问题。在本文中，我们概述了两种定量方法，确定评估者和被评估者之间的认知距离，基于他们发表的期刊。我们使用了安特卫普大学2009年至2014年期间进行的四项研究评估的示例数据。重心法基于期刊地图，而相似性适应出版向量（SAPV）法基于完整的期刊相似性矩阵。这两种方法都是根据实体发表的期刊来确定实体的概况。随后，我们确定两个实体的重心或SAPV配置文件之间的欧氏距离作为它们之间的认知距离的指标。使用自举方法，我们确定这些距离的置信区间。因此，本文构成了对先前在Web of Science主题类别级别上操作的提案的改进。
英文摘要：
When research groups are evaluated by an expert panel, it is an open question how one can determine the match between panel and research groups. In this paper, we outline two quantitative approaches that determine the cognitive distance between evaluators and evaluees, based on the journals they have published in. We use example data from four research evaluations carried out between 2009 and 2014 at the University of Antwerp. While the barycenter approach is based on a journal map, the similarity-adapted publication vector (SAPV) approach is based on the full journal similarity matrix. Both approaches determine an entity's profile based on the journals in which it has published. Subsequently, we determine the Euclidean distance between the barycenter or SAPV profiles of two entities as an indicator of the cognitive distance between them. Using a bootstrapping approach, we determine confidence intervals for these distances. As such, the present article constitutes a refinement of a previous proposal that operates on the level of Web of Science subject categories.
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