MétaCan
Menu
Back to cohort
Record W3004555038 · doi:10.12957/rdc.2019.44025

O encarceramento em massa e o aumento da violência nos estados da Amazônia Ocidental, 2005-2017: Análise e perspectivas

2019· article· pt· W3004555038 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRevista de Direito da Cidade · 2019
Typearticle
Languagept
FieldSocial Sciences
TopicBrazilian Legal Issues
Canadian institutionsnot available
FundersHarvard UniversityGoverno BrasilUniversity of OxfordYork UniversityWorld Health Organization
KeywordsAcrePolitical scienceHumanitiesPhilosophyAgricultural science

Abstract

fetched live from OpenAlex

Nas últimas duas décadas o encarceramento e a violência cresceram acentuadamente nos estados da Amazônia Ocidental brasileira, composta por Rondônia, Acre, Amazonas e Roraima. Este artigo tem o objetivo de analisar o aumento desses números, entre 2005 e 2017. A pesquisa utiliza análise de dados estatísticos e compara as variações desses dados ao longo do período, em busca de associações significativas que ajudem a entender por que, ao mesmo tempo em que os estados da região se tornaram os maiores encarceradores em massa do país, a criminalidade não parou de aumentar. Os resultados mostram que o aumento do encarceramento não diminuiu o crime e que sem uma revisão urgente da política penal imposta por todas as instituições do sistema de justiça a violência deve continuar aumentando, nas prisões e nas ruas.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0060.002
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.008

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 head0.026
GPT teacher head0.325
Teacher spread0.298 · 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