A cross-cultural comparison of factors associated with marijuana use among college students in the United States and Sweden
Bibliographic record
Abstract
Aims: Marijuana is a popular drug among U.S. college students. In Sweden, the prevalence of marijuana use has been relatively low but is increasing. Brief, personalized interventions have been efficacious in reducing substance use, including marijuana, among college students in the U.S. However, prior to implementation of U.S. interventions in Sweden, it is important to compare factors associated with marijuana use among college students in the two countries. Design Setting and Participants: = 2,280, 35% male). Measures: Past 30-day prevalence and frequency of marijuana use was analyzed in regard to relevant demographic factors. The moderating role of nationality was also examined. Findings: Results support previous findings indicating marijuana use is more common in the U.S. than in Sweden. Most demographic factors were similar across the countries, except for relationship status and work status, in which associations with number of marijuana use days (but not odds of any marijuana use) were stronger for Swedish college students compared to U.S. college students. Conclusions: Based on overall similarities between the U.S. and Sweden, comparable interventions might be recommended in both countries.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".