Substance use and knowledge among Italian High School students.
Bibliographic record
Abstract
This study was aimed for evaluation of Italian students' attitudes to addictive substances, their knowledge and personal experience, and their awareness about the risks. The research was realized among high school students from Marche region in the Central Italy in the year 2006; the study group was randomly chosen from all schools in the region. 4118 appropriately completed questionnaires returned. The statistic processing was carried out by\nusing chi-square test for two qualitative variables. 29.9 % of the students have tried drugs; 36.4 % of the\ninterviewed reckon alcohol, tobacco and antidepressants\nfor drugs. A relationship between the use of licit and illicit addictive substances and a correlation between the use of illicit substances and the use of liquors and tobacco\nin family was found. The students, who drink frequently,\nsmoke regularly and use drugs, believe that the drugs create\ndependence only if overused; only a quarter of them\nclassify themselves as drug addicts.\nThe study indicates a lack of information on the drugs among the young people. It emerges that the young people do not sufficiently know the risk of the dependence. A change of the preventive strategies should be considered.
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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 | 0.001 | 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 | 0.001 | 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) | 0.003 | 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".