性别数据,交叉性,以及"协商拒绝"的女权主义政策
Tara Patricia Cookson1, Lorena Fuentes2
1School of Public Policy and Global Affairs, University of British Columbia, Vancouver, British Columbia, Canada.
Violence against women
|January 9, 2025
概括
收集更少的性别和交叉数据可以更有效地解决基于性别的暴力 (GBV). 这种称为"谈判拒绝"的方法挑战了假设更多的数据总是为女权主义目标服务的假设.
科学领域:
- 社会科学 社会科学 社会科学
- 性别研究是性别研究.
- 国际发展国际发展
背景情况:
- 性别和跨部门数据对于理解和打击基于性别的暴力 (GBV) 是至关重要的.
- 现有文献经常假设增加数据收集对女权主义目标有本质的好处.
- 在复杂的现实环境中,数据驱动方法的有效性仍然是需要批判性审查的领域.
研究的目的:
- 在GBV的背景下探索性别和跨部门数据收集的复杂性.
- 挑战这样的假设,即更多的数据收集总是为了推进女权主义目标而优越.
- 在数据收集实践中引入和分析"协商拒绝"的概念.
主要方法:
- 在哥伦比亚 - 委内瑞拉边境开展性别数据项目的案例研究.
- 对前线实施者关于数据收集的决策进行定性分析.
- 检查数据实践,女权主义目标和上下文现实之间的相互作用.
主要成果:
- 该研究引入了"谈判拒绝"作为一项战略,其中前线实施者收集的数据较少.
- 这种方法承认过度或不适当的数据收集可能会对女权主义目标产生反作用.
- 由于不平等和动态背景的复杂性,数据收集的灵活性是必要的.
结论:
- 更多的数据收集总是更好地解决GBV的假设受到质疑.
- "谈判拒绝"为理解特定背景数据收集策略提供了一个框架.
- 自上而下的数据框架可能会阻碍两性平等的努力;灵活的,背景意识的方法更有效.
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