MétaCan
Menu
Back to cohort
Record W4401714001 · doi:10.55905/ijsmtv10n4-033

Guerras às drogas e extermínio da juventude negra: notas sobre a formação social brasileira

2024· article· pt· W4401714001 on OpenAlexaff
Rafael Coelho Rodrigues, Letícia Batista Silva, Adrianyce Angélica Silva de Sousa

Bibliographic record

VenueInternational Journal of Scientific Management and Tourism · 2024
Typearticle
Languagept
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsThinkpath Engineering Services (Canada)
Fundersnot available
KeywordsHumanitiesSociologyPhilosophy

Abstract

fetched live from OpenAlex

O presente trabalho é fruto de pesquisa secundária e levantamento bibliográfico. Tem como fio condutor a formação social brasileira e o racismo estrutural. Nosso objetivo é apresentar alguns elementos no sentido de problematizar a criminalização e o extermínio da juventude negra e pobre brasileira que tem se realizado através da implementação da guerra às drogas. Neste sentido, a política denominada de guerra às drogas se configura como dispositivo central para continuidade histórica da violência do Estado brasileiro contra a população pobre e negra. Além do extermínio da juventude negra, esta política também se torna responsável diretamente pelo aumento do encarceramento desta mesma população. Conclui-se que o proibicionismo e a guerra pretensamente às drogas produzem efeitos nefastos principalmente para as populações mais vulnerabilizadas e se mantém como política pública em detrimento das evidências que mostram seus efeitos. Assim, este artigo busca contribuir para o debate sobre a temático a partir da pesquisa realizada.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.288
Threshold uncertainty score0.572

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0050.004
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.038
GPT teacher head0.334
Teacher spread0.297 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Scientific Management and TourismSame topicYouth, Drugs, and ViolenceFrench-language works237,207