Emerging Adult Perceptions of Cannabis Use Based on Age and Sex of User
Bibliographic record
Abstract
In Canada, emerging adults consume more cannabis than any other age-group. This study examined emerging adults’ perceptions of dangerousness, perceptions of negative impacts, and level of disapproval associated with regular cannabis use. An experimental vignette design was utilized to examine the extent to which perceptions differ depending on the age and sex of the user. Participants ( N = 656) were randomly assigned to one of six vignettes and were asked to rate 7 items of perceived dangerousness, perceived negative impacts, and level of disapproval. Significant main effects of age were found on 6 of 7 items, where cannabis use by a 14-year-old was viewed as more dangerous than cannabis use by a 21- and 28-year-old. However, cannabis use by a 21-year-old was not viewed as more dangerous than cannabis use by a 28-year-old. Female cannabis use was perceived as more dangerous than male cannabis use with respect to social life.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".