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引用评论证据视角下高水平论文遴选研究 被引量:3

Research on High-Level Paper Selection from Citation Review Evidence Perspective
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摘要 论文作为科研成果的重要表现形式,在“破五唯”的大背景下,科学遴选高水平论文至关重要,是保障代表作评价工作落地的基本抓手。引用评论是学术共同体对论文价值最直接的认可,亦是学术评价的实质性关键证据,对其内容进行深入挖掘有助于更科学地发现高水平论文。首先,本文基于学术认同理论和证据特征阐释了模型构建的基本思想;其次,对基于内容语义的引用情感和引用功能进行重新界定和分类,并充分考虑“施引作者可信度”,构建高水平论文遴选综合加权模型;再其次,选取化学领域顶级刊物Angewandte Chemie-International Edition中的相关论文展开实证研究,结果表明,本文提出的模型可以较精准地筛选出“非常重要论文(very important paper,VIP)”;最后,与其他主流评价指标进行比较分析,证实了本文模型具有较高的区分度和鉴别度,在论文学术水平评价中具有显著优越性。 A paper is an important expression of scientific research results.It is crucial to scientifically select high-level papers under the current background of“breaking the five-only”approach,which is the basic starting point to ensure the implementation of representative work evaluation.Citation comments by the academic community are the most direct form of recognition of a paper’s value and serve as substantive and critical evidence of academic evaluation.Analyzing citation content more deeply helps to discover high-level papers more scientifically.First,this paper explains the basic idea of model construction based on the theory of academic identity and the characteristics of evidence.Second,it redefines and classifies citing emotions and citing functions based on content semantics,and fully considers the“citing author’s credibility.”This leads to the construction of a comprehensive weighted selection model for high-level academic papers.Third,relevant papers from Angewandte Chemie-International Edition,a top journal in the field of chemistry,are selected for empirical research.The results show that the model proposed in this paper accurately identifies“Very Important Papers(VIPs).”Finally,compared with other mainstream evaluation indexes,the model demonstrates a high degree of differentiation and discrimination,significantly improving the evaluation of the academic level of a paper.
作者 马瑞敏 冯玉梅 宋国庆 Ma Ruimin;Feng Yumei;Song Guoqing(School of Economics and Management,Shanxi University,Taiyuan 030006;Research Center for Science Evaluation,Shanxi University,Taiyuan 030006)
出处 《情报学报》 CSSCI CSCD 北大核心 2024年第7期789-801,共13页 Journal of the China Society for Scientific and Technical Information
基金 国家社会科学基金项目“基于证据的学者高水平论文代表作量化遴选研究”(22BTQ060)。
关键词 引用评论 论文 证据 评价 高水平 citation comment paper evidence evaluation high level
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