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Mercados de drogas, guerra e paz no Recife

2017· article· pt· W2742343923 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTempo Social · 2017
Typearticle
Languagept
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsCarleton University
Fundersnot available
KeywordsSociologyConsumption (sociology)Welfare economicsCriminologyHumanitiesEconomicsPhilosophySocial science

Abstract

fetched live from OpenAlex

Este artigo procura discutir as possíveis conexões entre o funcionamento de diferentes mercados de drogas e a violência na cidade do Recife. Os autores propõem que mercados abertos e descobertos, como o do crack, são mais propícios à violência, ao contrário dos mercados fechados e cobertos (mercados de drogas das classes médias). Outros fatores contribuem para a presença de mais ou menos violência em cada mercado de drogas pesquisado: a existência ou não de crédito e consignação, o consumo mais ou menos problemático de cada droga e o tipo de atuação policial em cada mercado de drogas. A observação direta do funcionamento de alguns desses mercados, a pesquisa em jornais diários locais e entrevistas com usuários e vendedores de drogas, profissionais da área de saúde, assistentes sociais, psicólogos, juízes, promotores e policiais foram as estratégias metodológicas utilizadas.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient 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: none
Teacher disagreement score0.456
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0080.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.005

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 head0.087
GPT teacher head0.393
Teacher spread0.306 · 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