历史智慧:反压迫研究方法论中的数据分析与重构

IF 1.2 Q1 HISTORY
Juliet McMullin, Ann Cheney, Sean Milanovich, Sherri Salgado, Kendall Shumway, Julie Andrews, Regina Hughes, Katheryn Rodriguez, Luella Vann Thornton, Laurette McGuire, Wyatt Kelly, Veronica Espinoza, Jonell John, Jackie Wisespirit
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引用次数: 0

摘要

Chihuum Piiuywmk Inach/ Good Minds Gathering (CPI/GoGM)项目使用反压迫方法,重新构想了卫生公平社区参与研究(CER)数据分析的包容性途径。将殖民主义和压迫制度体系去中心化并以土著认识论为中心的社会责任方法论的转变正在兴起。然而,在CER中缺乏对数据分析的指导。CPI/GoGM的历史创伤项目是包容和建立支持土著认识论的关系研究空间的基础示范。将社区纳入数据分析是一种干预措施,也是实现CER公平的下一步,也是对认知正义的呼吁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Historical Wisdom: Data Analysis and Reimagining in Anti-Oppressive Research Methodologies
Using anti-oppressive methodologies, the Chihuum Piiuywmk Inach/Gathering of Good Minds (CPI/GoGM) project reimagined inclusive pathways for data analysis in health equity Community Engaged Research (CER). Transformations in CER methodologies that decenter colonial and institutional systems of oppression and center Indigenous epistemologies are on the rise. There is, however, a paucity of guidance on data analysis in CER. The CPI/GoGM’s historical trauma project is a grounded demonstration of inclusion and building relational research spaces that support Indigenous epistemologies. Community inclusion in data analysis is an intervention and next step for equity in CER and a call for epistemic justice. 
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