7 research outputs found

    Habitus, Symbolic Violence, and Reflexivity: Applying Bourdieu’s Theories to Social Work

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    During the mid- to late-twentieth century, Pierre Bourdieu crated a conceptual framework that describes how underclass status becomes embodied in individuals, and the ways that personal, professional, and political fields perpetuate this oppression. Bourdieu’s theories also outline the role of the “critical intellectual” in undermining oppression and fighting for social justice. Using key terms from Bourdieu’s explanatory framework, this article examines the power relations and symbolic violence built into the interactions between social workers and clients, and offers suggestions as to how reflexive and relational social work can help workers reduce this impact. This paper also explores the role of social workers in addressing social inequalities by examining Bourdieu’s writings in terms of macro approaches to disparity

    Drug Use, the Drug Environment, and Child Physical Abuse and Neglect

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    Although drug use is considered a risk factor for child maltreatment, very little work has examined how the drug environment may affect physical abuse and neglect by parents. Utilizing information from a telephone survey with 2,597 respondents from 43 cities with valid police data on narcotics incidents, we analyzed the relationship between drug use, drug availability, and child maltreatment using multilevel models. City-level rates of drug abuse and dependence were related to more frequent physical abuse. Parents who use drugs in areas with greater availability of drugs reported more physical abuse and physical neglect. Emotional support was protective of all types of maltreatment. While most child welfare interventions focus on reducing parental drug use in order to reduce child abuse, these findings suggest environmental prevention or neighborhood strengthening approaches designed to reduce the supply of illicit drugs may also reduce child abuse through multiple mechanisms

    Building an Evidence-Driven Child Welfare Workforce: A University-Agency Partnership.

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    The federal government increasingly expects child welfare systems to be more responsive to the needs of their local populations, connect strategies to results, and use continuous quality improvement (CQI) to accomplish these goals. A method for improving decision making, CQI relies on an inflow of high-quality data, up-to-date research evidence, and a robust organizational structure and climate that supports the deliberate use of evidence for decision making. This article describes an effort to build and support these essential system components through one public-private child welfare agency-university partnership

    Building Analytic Capacity and Statistical Literacy Among Title IV-E MSW Students

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    This is an Accepted Manuscript of an article published by Taylor and Francis in Journal of Public Child Welfare in 2015. The published version is available at https://www.tandfonline.com/doi/abs/10.1080/15548732.2015.1043421?tab=permissions&scroll=topBuilding and sustaining effective child welfare practice requires an infrastructure of social work professionals trained to use data to identify target populations, connect interventions to outcomes, adapt practice to varying contexts and dynamic populations, and assess their own effectiveness. Increasingly, public agencies are implementing models of self-assessment in which administrative data are used to guide and continuously evaluate the implementation of programs and policies. The research curriculum described in the article was developed to provide Title IV-E and other students interested in public child welfare systems with hands-on opportunities to become experienced and "statistically literate" users of aggregated public child welfare data from California's administrative child welfare system, attending to the often missing link between data/research and practice improvement.The curriculum presented here would not have been possible without the support of the California Department of Social Services, which provides funding for the CCWIP, and the School of Social Welfare at the University of California, Berkeley, which provided the platform to test the curriculum via a second-year MSW research sequence. The authors would also like to thank Barbara Needell of the CCWIP, who co-authored the curriculum and who provides ongoing technical assistance to state and local public child welfare agencies, in the spirit of the quality improvement framework presented here

    Building Analytic Capacity and Statistical Literacy Among Title IV-E MSW Students

    No full text
    Building and sustaining effective child welfare practice requires an infrastructure of social work professionals trained to use data to identify target populations, connect interventions to outcomes, adapt practice to varying contexts and dynamic populations, and assess their own effectiveness. Increasingly, public agencies are implementing models of self-assessment in which administrative data are used to guide and continuously evaluate the implementation of programs and policies. The research curriculum described in the article was developed to provide Title IV-E and other students interested in public child welfare systems with hands-on opportunities to become experienced and “statistically literate” users of aggregated public child welfare data from California’s administrative child welfare system, attending to the often missing link between data/research and practice improvement
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