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Record W4388653447 · doi:10.5206/ijoh.2023.3.15693

Invisíveis Vigiados: Agentes Públicos de Segurança e Sua Interação Com os Indivíduos em Situação de Rua

2023· article· pt· W4388653447 on OpenAlexvenueno aff
Emmanuelle Pereira Brandt de Azeredo, Andréa Maria Silveira, Marcus Vinícius Gonçalves da Cruz

Bibliographic record

VenueInternational Journal on Homelessness · 2023
Typearticle
Languagept
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

O artigo analisa as percepções dos agentes das forças públicas de segurança sobre os indivíduos em situação de rua em uma metrópole brasileira. Tal análise mostra-se essencial para verificar a adequação/inadequação dos parâmetros de atuação do Estado em relação a essa população vulnerável. Realizou-se pesquisa qualitativa, descritiva por meio de estudo de caso com a Guarda Civil Municipal de Belo Horizonte (GMBH) e a Polícia Militar de Minas Gerais (PMMG), Belo Horizonte, Minas Gerais, Brasil, utilizando-se 18 entrevistas semiestruturadas. Os achados de pesquisa reforçam a discricionariedade como núcleo inerente à atividade das forças públicas de segurança na lide com as pessoas em situação de rua, a partir de um viés preconceituoso e estigmatizante, centrado em um policiamento de cunho tradicional, estruturado a partir de práticas repressivas e de sujeição criminal. O estudo evidenciou ainda uma atuação de cunho “higienista” por parte dos agentes públicos de segurança, de fiscalização e controle das pessoas e do espaço urbano, geralmente voltados para interesses de atores com maior voz no contexto social (comerciantes, agentes imobiliários, residentes etc.) e não às necessidades das populações vulneráveis. Por sua vez, enquanto os agentes da GMBH denotam maior grau de imersão e apreensão do contexto urbano, os policiais militares atuam visando a persecução do “inimigo”, não obstante o ethos policial guerreiro permear a ação de ambas as forças públicas de segurança. O estudo contribui para desvendar a ação policial no trato com populações vulneráveis em um contexto urbano marcado por desigualdades apontando para a necessidade de aprimoramento na formação policial. The article examines the public security officers’ perceptions of homeless individuals in a Brazilian metropolis. Such analysis is essential to verify the adequacy/inadequacy of the State's parameters of action about this vulnerable population. The authors performed a qualitative and descriptive research through a case study, with the Municipal Civil Guard of Belo Horizonte (GMBH) and the Military Police of Minas Gerais (PMMG), Belo Horizonte, Minas Gerais, Brazil, using 18 semi-structured interviews. Research findings reinforce discretion as a core inherent in the activity of public security forces when dealing with homeless people, from a prejudiced and stigmatizing bias centered on traditional policing, based on repressive practices and criminal subjection. The study also highlighted a “hygienist” approach by the public security, inspection and control officers on people and urban space, usually focused on the interests of agents with a greater voice in the social context (traders, real estate agents, residents etc.) and not on the needs of vulnerable populations. On the other hand, while GMBH agents denote a greater degree of immersion and concern for the urban context, military police act to pursue the “enemy”, despite the warlike police ethos permeating the action of both security forces. The study contributes to uncovering police action needs when dealing with vulnerable populations in an urban context marked by inequalities, showing the need for improvement in police formation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.061
GPT teacher head0.414
Teacher spread0.353 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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