Cannabis Use and Awareness of Risks and Policies Among Canadian University Students Post-Legalization
Bibliographic record
Abstract
Since the cannabis legalization in Canada in 2018, cannabis consumption among Canadian university students has become widespread. This study aimed to determine the prevalence, attitudes, and awareness of cannabis use among students at a major research university in Western Canada. An anonymous online survey, conducted from February 16, 2022, to March 25, 2022, gathered responses from 935 participants. Results revealed that 28.2% of respondents currently used cannabis, with 50.4% having tried it sometime in their lives. Common reasons for use included social use, stress relief, and curiosity. Interestingly, both current users and non-users held similar perceptions regarding the benefits and misconceptions surrounding cannabis, though users tended to perceive lower risks. Knowledge about cannabis policies varied among participants. These findings shed light on usage and attitudes among students, suggesting the need for proactive prevention to enhance awareness of risks and debunk myths associated with cannabis use.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".