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Familiares e pessoas conhecidas de usuários de drogas ilícitas: recorte de opiniões sobre leis e políticas públicas de uma comunidade da Zona Oeste do Rio de Janeiro, Brasil

2009· article· pt· W2017624033 on OpenAlexaffabout
Jaqueline da Silva, Bruna Brands, Edward M. Adlaf, Norman Giesbrecht, Laura Simich, Maria da Glória Miotto Wright

Bibliographic record

VenueRevista Latino-Americana de Enfermagem · 2009
Typearticle
Languagept
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLatin AmericansLegislationPolitical scienceHumanitiesWelfare economicsLawArtEconomics

Abstract

fetched live from OpenAlex

This article is part of the study 'Illicit Drug Use in Seven Latin American Countries and Canada: Critical Perspectives of Family and Familiars' (7LACC), which investigated four domains: protective and risk factors; preventive initiatives; treatment facilities; and laws and policies. The article presents a section of the results based on four items of the laws and policies domain--as perceived by the family and acquaintances of illicit drug users living in the community. Participants were recruited in urban primary health care units located in Western Rio de Janeiro (city), Brazil. This multi-method, cross-temporal study performed interviews with 100 adults (18 years of age or older), all cognitively healthy. Results and key conclusions included non-compliance with the fundamental principles of the Unique Health System Legislation / Law 8.080/90 and the erroneous implementation of laws and public policies on illicit drug.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.483

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.052
GPT teacher head0.365
Teacher spread0.313 · 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 designObservational
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

Citations3
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueRevista Latino-Americana de EnfermagemSame topicYouth, Drugs, and ViolenceFrench-language works237,207