The Techno-Anthropology Research Group/ TANTlab, Department of Learning and Philosophy, Aalborg University Copenhagen, Copenhagen, Denmark.
Copenhagen Centre for Health Research in the Humanities, The Saxo Institute, University of Copenhagen, Copenhagen, Denmark.
Obes Rev. 2019 Apr;20(4):621-630. doi: 10.1111/obr.12807. Epub 2018 Dec 14.
The recent rise of computation-based methods in social science has opened new opportunities for exploring qualitative questions through analysis of large amounts of text. This article uses a mixed-methods design that incorporates machine reading, network analysis, semantic analysis, and qualitative analysis of 414 highly cited publications on obesogenic environments between 2001 and 2015. The method produces an elaborate network map exhibiting five distinct notions of environment, all of which are currently active in the field of obesity research. The five notions are institutional, built, food, family, and bodily environments. The network map is proposed as a navigational tool both for policy actors who wish to coordinate efforts between a variety of stakeholders and for researchers who wish to understand their own research and research plans in light of different positions in the field. The final part of the article explores how the network map may also initiate a broader set of reflections on the configuration, differentiation, and coherence of the field of obesity research.
近年来，基于计算的方法在社会科学领域的兴起为通过分析大量文本探索定性问题开辟了新的机会。本文采用混合方法设计，结合机器阅读、网络分析、语义分析以及对 2001 年至 2015 年间 414 篇关于致肥胖环境的高引用出版物的定性分析。该方法生成了一个精心制作的网络图，展示了环境的五个不同概念，这些概念目前都在肥胖研究领域中活跃。这五个概念分别是制度环境、建筑环境、食物环境、家庭环境和身体环境。该网络图被提议作为一个导航工具，既可供希望协调各种利益相关者之间的努力的政策制定者使用，也可供希望根据该领域的不同立场来了解自己的研究和研究计划的研究人员使用。文章的最后一部分探讨了网络图如何也可能引发对肥胖研究领域的配置、差异化和一致性的更广泛的反思。
