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Advancing Community–Based Research with Urban American Indian Populations: Multidisciplinary Perspectives

机译:多社区视角下的美洲印第安人城市社区推进基于社区的研究

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摘要

The U.S. has witnessed significant growth among urban AI populations in recent decades, and concerns have been raised that these populations face equal or greater degrees of disadvantage than their reservation counterparts. Surprisingly little urban AI research or community work has been documented in the literature, and even less has been written about the influences of urban settings on community-based work with these populations. Given the deep commitments of community psychology to empowering disadvantaged groups and understanding the impact of contextual factors on the lives of individuals and groups, community psychologists are well suited to fill these gaps in the literature. Toward informing such efforts, this work offers multidisciplinary insights from distinct idiographic accounts of community-based behavioral health research with urban AI populations. Accounts are offered by three researchers and one urban AI community organization staff member, and particular attention is given to issues of community heterogeneity, geography, membership, and collaboration. Each first-person account provides “lessons learned” from the urban context in which the research occurred. Together, these accounts suggest several important areas of consideration in research with urban AIs, some of which also seem relevant to reservation-based work. Finally, the potential role of research as a tool of empowerment for urban AI populations is emphasized, suggesting future research attend to the intersections of identity, sense of community, and empowerment in urban AI populations.
机译:在最近的几十年中,美国的城市AI人口显着增长,并且引起了人们的关注,即这些人面临的不利条件是与保留人相同或更大的不利条件。令人惊讶的是,文献中几乎没有关于城市AI的研究或社区工作的文献,关于城市环境对这些人群的社区工作的影响的文献甚至更少。鉴于社区心理学致力于赋予弱势群体以力量并了解情境因素对个人和群体生活的影响,社区心理学家非常适合填补文献中的这些空白。为了向此类工作提供信息,这项工作从城市AI人群基于社区的行为健康研究的独特表述中提供了多学科的见解。由三名研究人员和一名城市AI社区组织工作人员提供了账目,并且特别关注了社区异质性,地理,成员资格和协作问题。每个第一人称账户都提供了从研究发生的城市环境中获得的“经验教训”。这些说明一起提出了城市AI的研究中需要考虑的几个重要领域,其中一些似乎也与基于预约的工作有关。最后,强调了研究作为赋予城市AI人口能力的工具的潜在作用,这表明未来的研究涉及城市AI人口的身份,社区意识和赋权的交集。

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