Waiting for the Right One: The Role of Social Proximity and Location in the Decision to Use Cannabis for the First Time
Bibliographic record
Abstract
The study examines the social context of a cannabis offer, an outcome rarely examined in research on substance use. Drawing from a survey conducted among 15-year-old students in a mid-sized Canadian city, we examine (a) the differences between three types of users (immediate, late, and nonusers) and (b) the factors associated with accepting a cannabis offer more quickly. The findings show that 40% of the sample received an offer, that 25% of those who accept an offer do so on the first occasion, and that among the others, it takes up to seven offers before accepting. The social context of the offer distinguishes between the types of users, and offers are accepted more quickly when adolescents are first offered by a close social contact, and when the offer occurs in familiar settings. The study also identifies a type of nonuser, those who are exposed to drugs but decide not to participate.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".