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Record Nr. |
UNINA9910349327303321 |
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Autore |
McCracken Jill |
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Titolo |
Learning with Women in Jail : Creating Community-Based Participatory Research / / by Jill McCracken |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (127 pages) |
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Collana |
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Anthropology and Ethics, , 2195-0822 |
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Disciplina |
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Soggetti |
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Ethnology |
Critical criminology |
Social service |
Ethnography |
Ethnicity, Class, Gender and Crime |
Social Work and Community Development |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter One, Red Tent, Research Goals, and Stakeholders -- Chapter Two, Fractured Starts, Conceptual Roadblocks, and Resulting Epiphanies -- Chapter Three, Allowing Ethical Dilemmas to Shape and Teach Us -- Chapter Four, Concluding and Continuing the Work. |
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Sommario/riassunto |
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In this monograph, the ethical implications of engaging in research with vulnerable populations is explored and demonstrates how Community Based Participatory Research (CBPR) both enhances the research while addressing these ethical complexities. Although CBPR encompasses different levels of community engagement, in general, the participants, or co-researchers, are involved in the formulation of the research questions and methodologies because they are central to the conversation about what should be researched and how. Participants are directly involved in formulating the study problems and finding solutions, and usually the goal is to create social change that can be applied to and potentially transform the community. Learning with Women in Jail: Creating Community Based Participatory Research |
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documents the research process to better understand the causes for incarceration and recidivism.The study used a (CBPR) framework so that the people who had directly experienced incarceration would lead the research as much as possible, from framing the research questions and methodologies to data capture and analysis. |
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