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Record W4376958592 · doi:10.34117/bjdv9n5-148

Cultura policial militar e direitos humanos: propostas de abordagem de solução

2023· article· pt· W4376958592 on OpenAlexaff
Sérgio Vieira Benício

Bibliographic record

VenueBrazilian Journal of Development · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicYouth, Politics, and Society
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHuman rightsPolitical scienceHumanitiesSociologyPhilosophyLaw

Abstract

fetched live from OpenAlex

O presente artigo tem por objetivo investigar a lacuna causada pela inflexão entre a cultura policial versus o respeito aos direitos humanos. A partir de evidências empíricas, trata da potencial resistência de policiais aos direitos humanos. Essa observação inicial indica que esses processos culturais têm uma tendência a se retroalimentam, fazendo com que até mesmo os novos policiais passem a potencialmente rejeitar direitos humanos. No estudo, tenta-se responder aos questionamentos como conciliar o tema com os policiais mais antigos (e principalmente aqueles submetidos à dinâmica das ruas), que conduz o profissional a desacreditar os direitos humanos. Do mesmo modo, como romper o ciclo cultural que envolve a sociedade como um todo, pautada na lógica de que “bandido bom é bandido morto”. Integrando parte desse processo de reflexão, o artigo procede a uma análise de ambiente na Polícia Militar do Paraná, por meio de uma matriz SWOT, ferramenta utilizada para traçar as estratégias de solução do problema da Corporação, por meio de quatro abordagens específicas.

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)0.014
metaresearch head score (Gemma)0.016
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: none
Teacher disagreement score0.032
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.003
Science and technology studies0.0200.061
Scholarly communication0.0240.013
Open science0.0050.017
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0100.001

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 head0.041
GPT teacher head0.340
Teacher spread0.299 · 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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Same venueBrazilian Journal of DevelopmentSame topicYouth, Politics, and SocietyFrench-language works237,207