DRUG CONSUMPTION, KNOWLEDGE ON THE CONSEQUENCES OF CONSUMPTION AND ACADEMIC PERFORMANCE AMONG COLLEGE STUDENTS IN SAN SALVADOR, EL SALVADOR
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT Objective: determine the relationship among drug consumption, knowledge on the consequences of consumption and academic performance, for alcohol cocaine and marijuana, among undergraduate students of social sciences and health of San Salvador, El Salvador. Method: the used method was a cross-sectional survey, with a convenience sample of 250 university students. A modified version of the combination of two instruments was applied evaluating the variables for the knowledge on the consequences, pursuing the knowledge of a student about the adverse effects of the biological, psychological and social categories related to consumption of the drugs under study. Drug consumption was evaluated by consulting the student whether or not they used drugs at any time or in the last 3 months. Academic performance was evaluated by consulting students on the average in which they are applied on a scale of 1 to 10. Results: the results showed that 88.1% of the survey participants have a broad knowledge on the consequences of consuming alcoholic beverages; 45.5% on the consequences of marijuana use and 55.7% know the consequences of cocaine consumption. While 28.4% have consumed alcohol in the last year, 6.5% have consumed marijuana and 1.7% cocaine. The relationship of alcohol consumption with the knowledge on each of the consequences reflected a very low influence, while the larger is the knowledge obtained from these consequences caused by the use of the drugs under study, the lower is the consumption. Conclusion: the use of alcohol, cocaine and marijuana is not related to academic performance, indicating very low positive and negative correlations according to each case.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it