社区参与研究作为融入实践

J. Bay, K. Swacha
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引用次数: 5

摘要

本文提出了一个社区参与研究的经验模型,将社区理解为具体化的人类、物质环境和情感环境的生活网络。我们首先追踪社区组织和学者如何必须越来越多地回应对硬数据的推动。然后,我们以对一项关于饥饿的国家研究的分析为例,展示了这种“数据紧迫性”如何导致收集越来越多的关于社区成员的可衡量数据,而不解决他们以人为本的关切。我们建议的网状方法强调识别参与者所表达的参与者最直接的需求。由于受网络启发的研究必须在其发生的社区网络中具有偶然性和情境性,因此我们提供了在各种社区环境中进行此类研究的示例。最后,我们提出了一个启发式方法,社区机构和研究人员可以使用它来评估他们自己的项目作为网络,同时也收集硬数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Community-Engaged Research as Enmeshed Practice
This article presents an experiential model for communityengaged research that understands communities as living meshworks of embodied human beings, material circumstances, and affective environments. We first trace how community organizations and academics must increasingly respond to a push for hard data. Using an analysis of a national research study on hunger as an example, we then show how this “data imperative” can lead to collecting more and more measurable data on community members without addressing their humanbased concerns. The meshworks approach that we suggest emphasizes recognizing participants’ most immediate needs as articulated by participants. As meshworksinspired research has to be contingent and contextual within the meshworks of the community in which it takes place, we offer examples of what such research can look like in various community settings. Finally, we present a heuristic that community agencies and researchers can use to evaluate their own projects as meshworks while also gathering hard data.
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