“组织—认知”双视角跨学科发表模式研究  

Interdisciplinary publishing patterns from organizational and cognitive perspectives

作　　者：曹喆 尚媛媛 张琳 黄颖[1,2] CAO Zhe;SHANG Yuan-yuan;ZHANG Lin;HUANG Ying(School of Information Management,Wuhan University,Wuhan 430072,China;Center for Science,Technology&Education Assessment(CSTEA),Wuhan University,Wuhan 430072,China;Chinese Academy of Social Sciences Evaluation Studies,Beijing 100732,China)

机构地区：[1]武汉大学信息管理学院,湖北武汉430072 [2]武汉大学科教管理与评价中心,湖北武汉430072 [3]中国社会科学评价研究院,北京100732

出　　处：《科学学研究》2024年第12期2485-2496,2655,共13页Studies in Science of Science

基　　金：国家自然科学基金面上项目(72374160,71974150)。

摘　　要：在学科交叉渐成趋势的背景下,跨学科研究不断涌现,但学科之间交互影响的微观机制尚未被充分揭示。当前,不仅综合性期刊刊载的跨学科研究日渐增多,在特定专业领域的学术期刊上,论文发表主体和知识来源的学科多样性也愈发提升,“跨学科发表”现象日益凸显。对此,本文构建了基于“组织—认知”双视角的跨学科发表模式分类框架,并以2015-2019年科学计量领域专业期刊Scientometrics刊载的学术论文为样本,基于组织视角的作者机构和认知视角的参考文献将论文划分至不同跨学科发表模式。在此基础上,综合OpenAlex等多源数据与生成式AI等多元方法,探究不同跨学科发表模式产出论文在科研贡献、研究主题和多元影响方面的特征。研究发现,跨领域合作且具有高度知识来源一致性的跨学科发表模式愈发普遍,且该模式下论文的主题前沿性和影响力均相对较高,更多地产生方法创新类型的贡献。来自非科学计量学学者主要来源机构的作者合作以及援引更多其他学科知识的论文倾向于产生规律探索类的贡献,前者聚焦于科研人员自身发展密切相关的议题,后者大多是借鉴其他领域知识解决科学计量领域所关注的问题,或是应用科学计量学方法解决其他领域所关注的问题。此类研究的学术影响整体上相对局限,但具有较高水平的社会影响。基于实证结果与具体案例,本文讨论了相关结果对于学者开展跨学科研究,期刊遴选跨学科稿件,以及促进学科交叉融合的启示,并提出了相应的建议。In the era of interdisciplinarity,interdisciplinary research is constantly emerging.However,the underlying mechanism of the interaction between disciplines has not yet been fully investigated yet.Nowadays,not only the number of interdisciplinary research published in multidisciplinary journals grows up,but also the disciplinary diversity of authors' affiliations and the knowledge base of ar-ticles published in journals in a specific field increases,which means the phenomenon of interdisciplinary publishing becomes increasingly prevalent.Under this context,this study constructs a classification framework of interdisciplinary publication patterns based on the organizational and cognitive perspectives.Articles published in Scientometrics,a professional journal in the field of quantitative science studies,within years 2015-2019 are selected as samples.They are classified into different patterns of interdisciplinary publishing(PIP) based on authors' affiliations and references.With the combination of multiple data sources such as OpenAlex and mixed methods including generative AI,research contribution,research topics and multidimensional impact of articles with different PIP are compared.Results show that the PIP with collaboration across domains and high disciplinary consistency in the knowledge base is increasingly prevalent.The level of topic momentous and research impact of articles with this PIP is relatively higher.These articles also produce more contribution in methodological innovation.Participation of authors from distant disciplines and references of literature from distant disciplines promote regularity-type contribution.The former tends to use quantitative methods to explore the phenomena or mechanisms closely related to their career development.The latter tends to integrate knowledge from other disciplines to solve problems concerned by scholars in the target field,or use bibliometric methods to solve problems concerned by scholars in other disciplines.These studies usually produce lower academic impact

关 键 词：跨学科发表模式 “组织—认知”双视角 科研贡献 研究主题 多元影响 

分 类 号：G301[文化科学]