数学中的偏见和刻板印象
Jordi Fairhurst1,2, José Antonio Pérez-Escobar3,4
1Departamento de Filosofía y Trabajo Social, Universitat de les Illes Balears, Palma, Spain.
概括
这项研究引入了一个新的框架,以了解社会身份偏见如何影响数学知识创造. 它旨在通过分析可信性和正当性来减少认识论上的不公正和伤害.
科学领域:
- 认识论的认识论学.
- 数学的哲学数学的哲学
- 科学的社会研究科学的社会研究.
背景情况:
- 与社会身份 (性别,种族,阶级,资历,机构隶属) 相关的隐性偏见可以影响知识生产.
- 现有的链认识论框架还没有完全整合数学实践与证词证明的理由.
研究的目的:
- 开发一个理论框架,分析社会身份偏见如何影响知识生产阶段.
- 在关认识论中统一数学实践和证据证明.
- 建议采取措施,以改善在数学中的认识不公正和伤害.
主要方法:
- 利用链认识论来建模数学间和非数学因素的作用.
- 分析如何在数学上下文中赋予或取消信誉和规范权力.
- 整合了来自数学实践和证词证明的概念.
主要成果:
- 提出了一个统一的理论框架,将社会身份偏见与知识生产联系起来.
- 展示了刻板印象和偏见等因素如何影响数学可信度.
- 确定偏见赋予或取消数学工作规范权力的机制.
结论:
- 开发的框架提供了一种新的方法来理解和解决数学中认识论的不公正.
- 为开发有针对性的干预措施提供基础,以减轻数学知识生产中的偏见.
- 增强对科学中社会因素和认识评估之间的相互作用的理解.
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