Normas percibidas por los estudiantes universitarios acerca de sus pares y uso de drogas en una universidad en Chile
Bibliographic record
Abstract
UNLABELLED: This study analyzes the relationship between perceived norms about drug use among peers and actual use among university students. This is a qualitative, multicenter study involving sophomore and junior students of the health courses of a Chilean university. Participants were 286 (75.2%) of the total 380 university students. RESULTS: more than 50% of the students notice that their peers smoke cigarettes on a daily basis, drink alcohol three times a week, and use marijuana once a week and cocaine at least once a year. The university campus it place of highest drug use; cocaine is used at a friend's house. Among students, 68% have smoked once in their life, 57% smoke on a daily basis; 88% have had alcohol once in their life; 26% used marijuana once in their life, 16% used marijuana over the last 12 months. Students do not know about any university policies for drug use. Some results confirm that drug use is underestimated.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".