ADOLESCENTS´ PERCEPTION OF HARMS, BENEFITS AND INTENTION TO USE MARIJUANA WITHIN THE CONTEXT OF REGULATORY CHANGES IN BELIZE
Bibliographic record
Abstract
ABSTRACT Objective: to evaluate the perception of harm and benefits from using marijuana in adolescents’, to determine lifetime, past year and past month prevalence of marijuana use; and to analyze the relationship between marijuana use and the perception of harm and benefits from using marijuana. Methods: multi-centric, quantitative cross sectional survey design method was utilized for this research. Data was collected using structured standardized approved questionnaire. A total of 273 students from three high schools in two cities of the country of Belize participated in the survey conducted in 2015. Results: lifetime prevalence of marijuana use of 41.4% (39.2% past year, 24.9% past 30 days), and average age of onset of 12 years. First time prevalence of marijuana use among students by sex indicated 53.1% male students used marijuana as compared to 46.9% female students with no significant (p>0.05) statistical difference seen between genders. Participants reported that their friends use marijuana (45.1%); while 68.1% of the marijuana users had some friends that use marijuana. 51% of the students surveyed stated that they would not use marijuana, even if it were legally available. The majority (70%) perceived no risk to using marijuana occasionally. Statistical analysis revealed that a high perception of benefits, a low risk perception and friends’ use of marijuana was associated with individual use as well as intention to use in a hypothetical context of regulatory changes. Conclusion: the Belizean school-aged adolescents are more than likely to smoke marijuana because of friends’ influence, low perception of risks and if marijuana is legally available and accessible to them.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".