Preprint / Version 1

Understanding the punitive spatial pattern in Brazil and São Paulo's prison McDonald

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DOI:

https://doi.org/10.1590/SciELOPreprints.6550

Keywords:

punishment, violence, methodology, prison, spatial pattern

Abstract

The study of the spatial distribution of Brazilian prisons is one of the ways to understand the mass incarceration phenomenon. By using the Penitentiary Census of the Ministry of Justice, 2014, we analyse punitive patterns around the country. The results show the existence of five punitive spatial clusters: two of which are prominent, in the Southeast region and the other centred in the Northeast region (between the states of Pernambuco and Ceará). Methodologically, we structured models for point patterns considering the geographic location (latitude and longitude), in addition, we introduced into the models the prisons’ characteristics, such as occupancy rate and prison capacity. As a result, it is possible to observe a statistical regularity that shows a differential punitive pattern in the São Paulo state. There are many units with large capacities, higher than other states' prisons. The statistical inference was made under the Bayesian paradigm, which allows characterizing the uncertainties of the models in a probabilistic way and circumventing the problems of scientific decision-making based on the p-value. The present paper is the first one to identify punitive groups in Brazil and to statistically verify the existence of different spatial patterns in São Paulo’s prisons, contributing to the debate on punitive policies in the country.

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Author Biographies

Vinicius Pinheiro Israel, Universidade Federal do Estado do Rio de Janeiro

Sociólogo e matemático. Professor do Departamento de Métodos Quantitativos e do Programa de Pós-Graduação em Ciência Política da Universidade Federal do Estado do Rio de Janeiro (UNIRIO).

Marina Silva Paez, Federal University of Rio de Janeiro

Professora Titular do Departamento de Métodos Estatísticos da UFRJ, formada em Estatística pela UFRJ, com mestrado e doutorado em Estatística pela mesma instituição. Tem experiência na área de Probabilidade e Estatística, atuando principalmente nos seguintes temas: modelos espaço-temporais, métodos bayesianos, séries temporais e estatística espacial.

Rebecca de Oliveira Souza, Federal University of Rio de Janeiro

Possui graduação em Estatística pela UFF (2016) e mestrado em Estatística pela UFRJ (2018). Atualmente, é doutoranda em Estatística na UFRJ e atua como analista de dados em políticas públicas no MPRJ. Áreas de interesse: inferência bayesiana, estatística espacial, modelos dinâmicos e modelos hierárquicos

Posted

10/10/2023

How to Cite

Understanding the punitive spatial pattern in Brazil and São Paulo’s prison McDonald. (2023). In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.6550

Section

Applied Social Sciences

Plaudit

Data statement

  • The research data is available on demand, condition justified in the manuscript

Research data

Pinheiro Israel, Vinicius; Silva Paez, Marina; de Oliveira Souza, Rebecca, 2023, "Compreendendo o padrão espacial punitivo no Brasil e o McDonald prisional de São Paulo", https://doi.org/10.48331/SCIELODATA.NSZOPE, SciELO Data, V1