The relationship between drugs use and risk behaviors in brazilian university students
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".