White by default: conceptual and methodological limits of binary white logic in global health equity research

默认白人:全球健康公平研究中二元白人逻辑的概念和方法论局限性

阅读:1

Abstract

This article examines the conceptual and methodological limitations of how the category “White” is interpreted and used in health equity research. I argue that such studies often rely on a binary White logic – a framework that organises ethnoracial comparisons around a dichotomy between people racialised as White and Non-White Others. Within this logic, the White category is treated as a homogeneous reference group that reliably signals uniform protection from racism and access to White privilege. This assumption operates both statistically and epistemically, with profound implications for how health disparities are measured and understood. Although this framework reflects broad ethnoracial dynamics rooted in White supremacism, it has serious shortcomings. One relevant but underexplored consequence is that it tends to biologise and essentialise Whiteness. It also obscures complex, context-specific processes of racialisation and marginalises groups that do not fit prevailing classificatory practices. I demonstrate that the uncritical use of the White category – as a default homogenous comparator category – in global health equity research reproduces epistemic injustice and misrepresents complex dynamics of racialisation, thereby concealing medically relevant experiences of representatives of such groups. I focus on people racialised as Eastern Europeans, whose ambiguous positioning within global ethnoracial hierarchies – often termed Off-White – renders them largely invisible in scholarship, despite evidence of racism affecting their health. To produce more accurate and socially responsible science, I call for a shift away from binary White logic towards more thoughtful, precise, and contextually appropriate uses of ethnoracial categories – and other proxies for racism – in research on racism and health.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。