STUDIU ASUPRA CONSUMULUI ASOCIAT AL DIFERITELOR TIPURI DE DROGURI DE CĂTRE ELEVII DE LICEU
Bibliographic record
Abstract
Socially acceptable drugs and illegal substances consumed by high school students affect their nervous system, which is under development and anticipate an extensive drug use later. Material and method: In our study we have assessed the associate drug consumption at a group of high school teenagers by applying a questionnaire with 23 items. Results and discussion: Tobacco use is the lowest in ninth grade students and it is significantly better represented in higher grade students. Regardless of the grade, there are no significant differences in the proportion of boys and girls who smoke, even the health risks posed by smoking are known to over 80% of respondents. Among the reasons that could cause the student smoking cessation predominates, at the smallest students, parents’ threat (significantly stronger than at those of senior grades), unlike the senior students, which give a higher value to a possible alteration of their own health status. The temptation for beer consumption appears before the age of 11 years and it is mentioned about a quarter of all respondents. Drinking a glass of wine for the first time is placed around the age of 14 years for boys and 15 years for girls. Marijuana is the drug exclusively consumed in the ninth grade and holds supremacy and other classes. Barbiturates and amphetamines are known about two thirds of the surveyed students. Risks involved by the association of alcohol consumption, tobacco and drugs are represented differently in this group of adolescents, and evolve differently as the students grow, mature and evolve, in a positive manner for their existence or not. Conclusions: during the high school years teenagers are tempted to diversify their drug consumption and to associate them, even they know very well how serious are the health consequences of this attitude.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".