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Organized abandonment under racial capitalism: Measuring accountable actors of structural racism for public health research and action

Author

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  • Riley, Taylor
  • Schleimer, Julia P.
  • Jahn, Jaquelyn L.

Abstract

Understanding the shifting nature of structural racism historically and across institutions is vital for effective action towards racial health equity. While public health research on structural racism is rapidly increasing, most studies are missing the interdependence of policies and institutional practices over time that shape power imbalances and lead to entrenched health inequities. Here, we discuss Ruth Wilson Gilmore's concept of organized abandonment — the intentional disinvestment in communities which, in turn, creates opportunities for extraction, revenue generation, and carceral enforcement to fill the cracks of a compromised social infrastructure — to encourage action-oriented public health research that is grounded in history and an understanding of racial capitalism. We present a case example using publicly-available data on redlining, gentrification and policing in Seattle, Washington. We mapped the intersections of redlining and gentrification and estimated their neighborhood-level association with police activity using Bayesian spatial Poisson regression models. We found that histories of racist housing policies like redlining and processes of gentrification are interdependent and shape contemporary neighborhood racial and economic segregation and police activity. Compared to structurally advantaged neighborhoods, police stops were higher in neighborhoods that were 1) historically disinvested (i.e. redlined) and remain low-income and structurally disadvantaged and 2) formerly industrial and business districts that were not redlined and are now gentrified. Notably, we found that policing practices were significantly more intensive in neighborhoods that were both high redlined and gentrified. Together, these findings illustrate how the place-based racialized processes of dispossession, displacement and policing are deeply intertwined to maintain racial capitalism. Our findings also highlight the importance of examining multiple racialized processes simultaneously to fill critical gaps in the existing literature that are necessary for sustainable solutions to address structural racism.

Suggested Citation

  • Riley, Taylor & Schleimer, Julia P. & Jahn, Jaquelyn L., 2024. "Organized abandonment under racial capitalism: Measuring accountable actors of structural racism for public health research and action," Social Science & Medicine, Elsevier, vol. 343(C).
  • Handle: RePEc:eee:socmed:v:343:y:2024:i:c:s0277953624000200
    DOI: 10.1016/j.socscimed.2024.116576
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    References listed on IDEAS

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    1. Lukachko, Alicia & Hatzenbuehler, Mark L. & Keyes, Katherine M., 2014. "Structural racism and myocardial infarction in the United States," Social Science & Medicine, Elsevier, vol. 103(C), pages 42-50.
    2. Knox, Dean & Lowe, Will & Mummolo, Jonathan, 2020. "Administrative Records Mask Racially Biased Policing—CORRIGENDUM," American Political Science Review, Cambridge University Press, vol. 114(4), pages 1394-1394, November.
    3. Simckes, Maayan & Willits, Dale & McFarland, Michael & McFarland, Cheryl & Rowhani-Rahbar, Ali & Hajat, Anjum, 2021. "The adverse effects of policing on population health: A conceptual model," Social Science & Medicine, Elsevier, vol. 281(C).
    4. Wallace, M.E. & Mendola, P. & Liu, D. & Grantz, K.L., 2015. "Joint effects of structural racism and income inequality on small-for-gestational-age birth," American Journal of Public Health, American Public Health Association, vol. 105(8), pages 1681-1688.
    5. Quentin Brummet & Davin Reed, 2019. "The Effects of Gentrification on the Well-Being and Opportunity of Original Resident Adults and Children," Working Papers 19-30, Federal Reserve Bank of Philadelphia.
    6. Mitchell, Jeffrey & Chihaya, Guilherme Kenji, 2022. "Tract level associations between historical residential redlining and contemporary fatal encounters with police," Social Science & Medicine, Elsevier, vol. 302(C).
    7. Knox, Dean & Lowe, Will & Mummolo, Jonathan, 2020. "Administrative Records Mask Racially Biased Policing," American Political Science Review, Cambridge University Press, vol. 114(3), pages 619-637, August.
    8. Julian Besag & Jeremy York & Annie Mollié, 1991. "Bayesian image restoration, with two applications in spatial statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(1), pages 1-20, March.
    9. Charles R. Collins & Forrest Stuart & Patrick Janulis, 2022. "Policing gentrification or policing displacement? Testing the relationship between order maintenance policing and neighbourhood change in Los Angeles," Urban Studies, Urban Studies Journal Limited, vol. 59(2), pages 414-433, February.
    10. Joseph Gibbons & Michael Barton & Elizabeth Brault, 2018. "Evaluating gentrification’s relation to neighborhood and city health," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-18, November.
    11. Mahasin S. Mujahid & Xing Gao & Loni P. Tabb & Colleen Morris & Tené T. Lewis, 2021. "Historical redlining and cardiovascular health: The Multi-Ethnic Study of Atherosclerosis," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(51), pages 2110986118-, December.
    12. Anthony L Nardone & Joan A Casey & Kara E Rudolph & Deborah Karasek & Mahasin Mujahid & Rachel Morello-Frosch, 2020. "Associations between historical redlining and birth outcomes from 2006 through 2015 in California," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-18, August.
    13. Gottlieb, Aaron & Wilson, Robert, 2019. "The effect of direct and vicarious police contact on the educational achievement of urban teens," Children and Youth Services Review, Elsevier, vol. 103(C), pages 190-199.
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