[Risk factors of drug use in school environment in Tunis].
Bibliographic record
Abstract
The aim of the study was to estimate the prevalence of addiction and drug use among Tunisian school teenagers as well as the risk factors associated with this conduct. A transversal study of "Knowledges, Behaviors and Practices" (KBP) has therefore been conducted among 353 school teenagers in the area of Tunis by means of an anonymous and self administered questionnary. Pupils' ages range from 12 to 24 with as many boys as girls (51.6% VS 48.4%). Three quarter (3/4) of the pupils have heard of drugs, the cannabis ("zatla") being the most common referred to; nearly 13% of the pupils said they have consumed drug at last once, half among them more then 3 times. The risk factors associated with drug use are the male sex (p = 10-7), tobacco or alcohol consumption (p = 10-8), violent behaviors (p = 10-4) and a confactual situation with parents (p = 10-5). A prevention of the problem should be based on an action over the identified risk factors.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".