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人文社会科学研究热点与前沿识别:方法与实践——以马克思主义理论学科为例 被引量:1

Identification of Hotspots and Frontiers in Humanities and Social Sciences Research:Methods and Practices——Take the Discipline of Marxist Theory for Example
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摘要 通过对人文社会科学研究热点与研究前沿相关概念进行辨析,梳理总结和归纳了人文社会科学研究热点与研究前沿的主要特征,在此基础上构建了人文社会科学研究热点与研究前沿识别方法和探测指标,并以马克思主义理论学科为例进行了验证。党的十八大以来,有关中国特色社会主义的相关研究和阐释一直是马克思主义理论学科的研究热点,同时“思想政治教育”“社会主义核心价值观”等主题研究热度也较为突出。党的十九大以来,习近平新时代中国特色社会主义思想的相关研究成为马克思主义理论学科最为重要和前沿的研究主题;2017年是《资本论》第一卷发表150周年,2018年是马克思诞辰200周年和《共产党宣言》发表170周年,这一时段有关这方面的学术研究成果表现也较为突出。研究方法构建与实践结果表明:基于主题强度、主题成熟性和主题辐射性的人文社会科学研究热点与研究前沿识别方法在实际应用中具有良好表现,同时该方法也具有较强的适用性和扩展性。 This paper analyzed the concepts within the hotspots and research frontiers in humanities and social sciences,summarized their main characteristics,clarified the identification methods and detection indicators and tested the hypothesis by taking the discipline of Marxist theories as example.Since the 18th National Congress of the Communist Party of China,the relevant study and interpretation of socialism with Chinese characteristics has always been the focus of Marxist theoretical studies.Meanwhile,the research regarding“ideological and political education”and“socialist core values”has also become more prominent.Since the 19th CPC National Congress,the research on Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era has become the most important research subject in Marxist theory.Meanwhile,2017 marks the 150th anniversary of the publication of the first volume of“Das Kapital”,and 2018 marks the 200th anniversary of Marx’s birthday and the 170th anniversary of the Communist Manifesto,and the academic research achievements in this field are also outstanding.With the research methods adopted in this paper,we show that the method based on topic intensity,topic maturity and topic radiation has good performance in practical application,and strong applicability and expansibility in identifying hotspots and research frontiers in humanities and social sciences studies.
作者 逯万辉 LU Wanhui(Chinese Academy of Social Science Evaluation Studies,Chinese Academy of Social Sciences, Beijing 100732, China)
出处 《大连理工大学学报(社会科学版)》 CSSCI 北大核心 2021年第2期1-8,共8页 Journal of Dalian University of Technology(Social Sciences)
基金 国家社会科学基金青年项目“主题级学科交叉性测度与学科交叉主题识别方法研究”(20CTQ027)。
关键词 主题识别 研究热点 研究前沿 马克思主义理论学科 topic identification research hotspots research frontiers discipline of Marxist theories
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