MétaCan
Menu
Back to cohort

Políticas e leis sobre drogas ilícitas no Brasil e a perspectiva de familiares e pessoas próximas a usuários de drogas: estudo na Cidade de Ribeirão Preto, São Paulo, Brasil

2009· article· pt· W2015502038 on OpenAlex
Carla Aparecida Arena Ventura, Bruna Brands, Edward M. Adlaf, Norman Giesbrecht, Laura Simich, Maria da Glória Miotto Wright, Paulo Sérgio Ferreira

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

VenueRevista Latino-Americana de Enfermagem · 2009
Typearticle
Languagept
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Brazilian drugs legislation has evolved from a prohibitionist system to a less repressive one in terms of drug users. The objective of this study was to identify the perception of relatives and acquaintances of drug users living in Ribeirão Preto, São Paulo, Brazil, about the country's laws and policies on drugs. Data collection was performed using a structured questionnaire. The sample consisted of 100 drug users' relatives or acquaintances, selected at a public health service. Respondents' relationships with the drug user were as follows: 31% friend, 23% sibling, 15% child and 7% spouse. Most users (78%) were men, with an average age of 26 years. Results confirm that national laws and policies have a direct effect on individuals' attitude and behaviors. There is a lack of trust in the police and a general perception that, despite recent chances that favor user rehabilitation, the laws on drugs do not respect users' human rights.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.207
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.334
Teacher spread0.304 · 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