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作 者:刘晓娟 于姚 沈嘉宁 LIU XiaoJuan;YU Yao;SHEN JiaNing(School of Government,Beijing Normal University,Beijing 100875,P.R.China)
出 处:《数字图书馆论坛》2025年第1期55-66,共12页Digital Library Forum
基 金:国家社会科学基金一般项目“公众信任视角下科研成果社会影响的分析与评价研究”(编号:23BTQ058)资助。
摘 要:开放同行评议为论文评价提供了新的视角,分析高水平论文的评议意见特征,有利于评判优质论文、优化学术评价体系。以被全球生物医学领域权威开放同行评议平台H1 Connect专家推荐的、发表在顶级期刊上有关COVID-19的论文为高水平论文的典型案例,爬取这些论文在H1 Connect中的开放同行评议意见,从指标和文本两个层面分析专家评议意见所体现的对高水平论文的关注和认可程度、情感特征以及价值特征。研究发现,高水平论文能快速吸引专家的关注,但仅有少数引发热议。开放同行评议文本中存在一定数量的情感句,明确体现了专家的观点态度:正向评价居多,主要针对论文的总体表现;负向评价较少,主要针对论文采用的研究方法。开放同行评议意见认为论文的价值体现在学术领域和实践应用的多个维度,应用贡献更为突出。通过对高水平论文开放同行评议意见的分析,建议在学术评价体系中引入开放同行评议数据源,以提升学术评价的科学性和有效性。实际应用中,仍需进一步完善同行评议指标,深入挖掘评议文本中的关键要素,加强资源建设与技术融合,利用前沿技术智能解析评议文本的深层价值。Open peer review provides new perspectives for evaluating papers.Analyzing the characteristics of review comments on high-level papers can aid in their assessment and optimize the academic evaluation system.Taking papers on COVID-19 that are recommended by experts of H1 Connect,a globally authoritative open peer review platform in the biomedical field,and published on top journals as typical cases of high-level papers,we collect open peer review comments of these papers on H1 Connect.We analyze the attention and recognition,emotional characteristics,and value characteristics reflected in the expert review comments of high-level papers from both indicator and textual perspectives.The findings reveal that high-level papers can quickly attract the attention of peer reviewers,but only a few spark heated discussions.The open peer review texts often contain emotional sentences reflecting the reviewers’attitudes,with more positive comments addressing the overall performance of the papers and fewer negative comments mainly addressing the research methods used.The open peer review comments indicate that the value of papers is reflected in multiple dimensions including academic fields and practical applications,with an especially strong emphasis on practical contributions.Through the analysis of open peer review comments on high-level papers,it is recommended that open peer review data sources be introduced into the academic evaluation system to enhance the scientificity and effectiveness of academic evaluation.In practical applications,it is still necessary to further improve the peer review indicators,deeply explore the key elements in the review texts,strengthen resource construction and technological integration,and utilize cutting-edge technology to intelligently analyze the deep value of review texts.
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