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The relationship between drugs use and risk behaviors in brazilian university students

2005· article· en· W2154966691 on OpenAlex
Sandra Cristina Pillon, Beverley O’Brien, Ketty Aracely Piedra Chávez

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueRevista Latino-Americana de Enfermagem · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsYouth Risk Behavior SurveyPsychologyEnvironmental healthDemographyIncidence (geometry)RecreationMedicineClinical psychologyGerontologyInjury preventionPoison control

Abstract

fetched live from OpenAlex

The aim was to describe relationships between gender and drug use as well as risk behaviors that may be associated with drug use among first-year students at the University of São Paulo-Ribeirão Preto. The Youth Risk Behavior Survey (YRBS) is an anonymous survey that was used for this descriptive correlational study. It was developed by the Centers for Disease Control and Prevention in the United States. The sample (n=200) included (50%) males and (50%) females. Their ages ranged from 18 to 26 years. Results showed that more female than male students use alcohol and tobacco, but that the probability of heavy consumption is higher among men. There was a low incidence of illicit drug use for both groups. Male students were more likely to drive under the influence of alcohol than female students and more men were involved in violent behaviors such as fights with friends and police. In relation to sexual behavior, male students were likely to have more partners and less protection while under influence of alcohol. It was concluded that gender is associated with recreational drug use, specifically tobacco and alcohol, as well as other risk behaviors in university students.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.347
Teacher spread0.302 · 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