[Tobacco use among paramedical students in Tunis].
Bibliographic record
Abstract
AIM: To assess smoking habits among Tunisian paramedical students, and their attitudes and knowledge about smoking. METHODS: During the first quarter of the school year 2002-2003 we investigate 1288 paramedical students of the College of Sciences and Techniques of the Health in Tunis. The smoker was the student who declare to smoke daily or by occasionally at the time of the survey. RESULTS: About three quarters of the students (77,2 %) were female and half of them was less than 20 years old. Smokers were those who smoked daily or occasionally. The prevalence of smoking was weak but it was 10 fold higher in male than in female (35,5% vs 3,5%) The rate of the ex-smokers was 4,1 %. Progress in studies does not affect smoking behaviour. The knowledge of tobacco induced diseases was generally good. However, there was substantial underestimation of tobacco contribution to causing bladder cancer, coronary artery disease and peripheral vascular disease. The study evidences insufficient awareness of medical students about their responsibilities for heath education and prevention. CONCLUSION: It is recommended to improve tobacco control educational programs at the paramedical students with elaboration of practical smoking cessation trainings.
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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 | 0.000 | 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) | 0.003 | 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 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".