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Cited by 253

The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.

Killing in the Slums: Social Order, Criminal Governance, and Police Violence in Rio de Janeiro

MAGALONI, BEATRIZ, FRANCO-VIVANCO, EDGAR, MELO, VANESSA·2020·American Political Science Review

Abstract

State interventions against organized criminal groups (OCGs) sometimes work to improve security, but often exacerbate violence. To understand why, this article offers a theory about criminal governance in five types of criminal regimes—Insurgent, Bandit, Symbiotic, Predatory, and Split. These differ according to whether criminal groups confront or collude with state actors, abuse or cooperate with the community, and hold a monopoly or contest territory with rival OCGs. Police interventions in these criminal regimes pose different challenges and are associated with markedly different local security outcomes. We provide evidence of this theory by using a multimethod research design combining quasi-experimental statistical analyses, automated text analysis, extensive qualitative research, and a large-N survey in the context of Rio de Janeiro’s “Pacifying Police Units” (UPPs), which sought to reclaim control of the favelas from criminal organizations.

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Crossref · 10.1017/s0003055419000856

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Metadata

Authors
MAGALONI, B., FRANCO-VIVANCO, E., & MELO, V.
Venue
American Political Science Review
Published
2020-02-03
Volume
114
Issue
2
Pages
552-572
ISSN
  • 0003-0554 (ISSN-L)
  • 1537-5943
OpenAlex
W2901602392
Cited by
253
References
35
FWCI
44.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Killing in the Slums: Social Order, Criminal Governance, and Police Violence in Rio de Janeiro. https://app.cochat.ai/papers/10.1017/s0003055419000856
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MAGALONI, B., FRANCO-VIVANCO, E., & MELO, V. (2020). Killing in the Slums: Social Order, Criminal Governance, and Police Violence in Rio de Janeiro. American Political Science Review. https://doi.org/10.1017/s0003055419000856

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.