基础上的偏见:通过股权镜头审计基础医学文本的多循环框架
Athul K M1, Shruti Tripathi1, Sneha Shakya1
1Department of Physiology, University College of Medical SciencesUniversity of Delhi, Delhi, India.
Advances in physiology education
|December 2, 2025
概括
医学教科书往往包含影响边缘化社区的排斥性语言. 建议使用多循环学习的审计工具,以促进语言平等和系统性纳入医疗保健教育.
科学领域:
- 医学教育 医学教育
- 健康 公平 卫生 公平
- 语言分析语言分析
背景情况:
- 基础医学生理学教科书包含排斥性语言.
- 这种语言延续了耻辱,并为边缘化群体,包括跨性别者,多元性的性取向,性别认同和表达 (SOGIESC) 和残疾社区的医疗保健难以获得的服务做出了贡献.
- 当前处理排斥性语言的方法往往是不够的.
研究的目的:
- 批判性地检查医学生理学教科书中的排斥维度.
- 识别影响边缘化社区的刻板印象和歧视性语言.
- 提出一个系统的框架来审计教科书的包容性语言.
主要方法:
- 进行了国际和印度医学生理学教科书的文献评论.
- 分析已识别的文本,以排除排斥性术语和隐含偏见.
- 开发了一个基于多循环学习框架的包容性语言教科书审计工具.
主要成果:
- 在基础医学教科书中发现了普遍的排斥性术语和隐含的偏见.
- 这些语言元素延续了耻辱,消除了身份,使边缘化成为正常.
- 对于系统性变化来说,孤立的术语校正是不够的.
结论:
- 拟议的包容性语言教科书审计工具提供了一条从标记性编辑到系统性包容的系统性路径.
- 采用这种工具对于确保医学教育中的语言平等至关重要.
- 修订基础文本是培养公平医疗保健专业人员的伦理要求.
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