中国科技期刊研究 ›› 2025, Vol. 36 ›› Issue (7): 851-860. doi: 10.11946/cjstp.202502110102

• AI赋能学术期刊出版专题 • 上一篇    下一篇

学术期刊出版现代化历程中评价活动的发展脉络及AI应用影响

马峥()()   

  1. 中国科学院文献情报中心,北京市海淀区北四环西路33号 100190
  • 收稿日期:2025-02-11 修回日期:2025-05-13 出版日期:2025-07-31 发布日期:2025-07-31
  • 作者简介:

    马 峥(ORCID: 0000-0002-9000-1327),博士,研究员,E-mail:

  • 基金资助:
    “十五五”国家科技创新规划战略研究任务项目“‘十五五’科技基础条件自主保障能力研究”(2024GH055)

Development of evaluation and the impact of AI applications on it during the modernization of scholarly journal publishing

MA Zheng()()   

  1. National Science Library, Chinese Academy of Sciences, 33 Beisihuan Xilu,Haidian District, Beijing 100190, China
  • Received:2025-02-11 Revised:2025-05-13 Online:2025-07-31 Published:2025-07-31

摘要:

【目的】为客观准确评价学术期刊,系统分析人工智能(AI)背景下AI应用为学术期刊评价带来的影响。【方法】采用文献和资料调研方法,搜集整理相关研究成果和素材,建立学术期刊出版现代化历程6阶段分析框架,系统性归纳AI应用对学术期刊评价的影响。【结果】学术期刊现代化历程由出版需求和信息技术的发展共同驱动,已经走过了手工作坊阶段、工业化阶段、电子化阶段、网络化阶段、开放科学阶段,当前AI驱动的“智能化阶段”是学术期刊发展现代化历程中的新台阶;AI技术与科学计量学双向赋能,推进学术期刊评价理念和方法的演进。【结论】AI应用对期刊评价的影响体现在加快评价速度、细化评价粒度、重构学科结构、改造引文评价体系、突破传统定量评价理念、完善专家定性评价、升级评价结果的呈现形式和应用模式等7个方面。

关键词: 学术期刊, 人工智能, 现代化历程, 智能化, 出版生态, 双向赋能

Abstract:

[Purposes] The aim is to objectively and accurately evaluate academic journals and systematically analyze the impact of AI applications in the context of artificial intelligence for the evaluation of academic journals. [Methods] Adopting literature and data research methods, to search and collect relevant research results and materials, then establish a 6-stage analysis framework for the course of modernization of academic journal publishing, and systematically summarize and form viewpoints. [Findings] The modernization course of academic journals is driven by the development of publishing demand and information technology, and has gone through the handmade workshop stage, industrialized stage, electronic stage, networked stage, open science stage, and the current AI-driven intelligent publishing stage is a new step in the modernization course of the development of academic journals; the two-way empowerment of AI technology and scientometrics has pushed forward the evolution of the concepts and methods of academic journal evaluation and the evolution of methods. [Conclusions] The impact of AI application on journal evaluation is reflected in seven aspects, such as accelerating the evaluation speed, refining the evaluation granularity, reconfiguring the disciplinary structure, transforming the citation evaluation system, breaking through the traditional concept of quantitative evaluation, perfecting the qualitative evaluation of experts, and upgrading the presentation form of the evaluation results and the application mode.

Key words: Academic journals, AI, Modernization process, Intellectualization, Publishing ecology, Two-way empowerment