The query is the theory: Why “exact-term” bibliometrics can conflate climate anxiety with broader eco-emotions

IF 4.5 2区 医学 Q1 PSYCHIATRY
Journal of Anxiety Disorders Pub Date : 2026-04-01 Epub Date: 2026-04-09 DOI:10.1016/j.janxdis.2026.103154
Alexandre Heeren , Camille Mouguiama-Daouda
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引用次数: 0

Abstract

Bibliometric syntheses help organize rapidly growing literatures, but their validity depends on how constructs are operationalized. Anjum et al. (2026) present an ambitious synthesis, labeled “climate anxiety scholarship,” that maps the growth of publications, collaboration networks, co-citation structures, and keyword patterns from 2000 to 2024. Yet the paper also illustrates a key challenge in fast-growing fields: literature syntheses built on search terms and labels can outpace the conceptual distinctions they are meant to capture. Our central claim is that the article maps a corpus labeled as “climate anxiety scholarship,” even though the query and the resulting thematic structure extend beyond climate anxiety proper to include adjacent eco-emotions that are conceptually distinct from anxiety-related phenomena. “Exact-term” search strategies may be precise about strings while remaining imprecise about constructs, especially when anxiety terms are combined with eco-emotions such as grief, despair, solastalgia, and generic “climate/eco-emotions.” This construct blur invites jingle–jangle problems, muddies thematic clusters, and weakens clinical interpretability by treating distinct constructs as interchangeable. Two remedies follow: sensitivity analyses contrasting climate-anxiety-specific and broader eco-emotions corpora, and stronger ontological discipline specifying which constructs are targeted and how they relate (e.g., overlaps-with, is-a, part-of). In bibliometrics, the query is the theory; disciplined queries yield interpretable maps and clinically actionable insights.
问题是理论:为什么“精确术语”文献计量学可以将气候焦虑与更广泛的生态情绪混为一谈
文献计量综合有助于组织快速增长的文献,但其有效性取决于结构是如何运作的。Anjum等人(2026)提出了一个雄心勃勃的综合,称为“气候焦虑奖学金”,描绘了2000年至2024年间出版物、合作网络、共引结构和关键词模式的增长情况。然而,这篇论文也说明了在快速发展的领域中一个关键的挑战:建立在搜索词和标签上的文献综合可能会超过它们想要捕捉的概念区别。我们的核心主张是,这篇文章绘制了一个标记为“气候焦虑学术”的语料库,尽管查询和由此产生的主题结构超出了气候焦虑本身,包括了与焦虑相关现象在概念上不同的相邻生态情绪。“精确术语”搜索策略可能对字符串精确,而对结构不精确,特别是当焦虑术语与生态情绪(如悲伤、绝望、太阳痛和通用的“气候/生态情绪”)结合在一起时。这种构念模糊会引起叮当响的问题,混淆主题集群,并通过将不同构念视为可互换的方式削弱临床可解释性。接下来有两种补救措施:敏感性分析,对比气候焦虑特定的和更广泛的生态情绪语料库,以及更强的本体论纪律,指定目标结构以及它们之间的关系(例如,重叠,是,一部分)。在文献计量学中,查询是理论;有纪律的查询产生可解释的地图和临床可操作的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
16.60
自引率
2.90%
发文量
95
期刊介绍: The Journal of Anxiety Disorders is an interdisciplinary journal that publishes research papers on all aspects of anxiety disorders for individuals of all age groups, including children, adolescents, adults, and the elderly. Manuscripts that focus on disorders previously classified as anxiety disorders such as obsessive-compulsive disorder and posttraumatic stress disorder, as well as the new category of illness anxiety disorder, are also within the scope of the journal. The research areas of focus include traditional, behavioral, cognitive, and biological assessment; diagnosis and classification; psychosocial and psychopharmacological treatment; genetics; epidemiology; and prevention. The journal welcomes theoretical and review articles that significantly contribute to current knowledge in the field. It is abstracted and indexed in various databases such as Elsevier, BIOBASE, PubMed/Medline, PsycINFO, BIOSIS Citation Index, BRS Data, Current Contents - Social & Behavioral Sciences, Pascal Francis, Scopus, and Google Scholar.
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