Public Opinion towards Cannabis Control in Ontario: Strong but Diversified Support for Reforming Control of Both Use and Supply
Bibliographic record
Abstract
In Canada, cannabis control has long been controversially debated, yet recreational cannabis use and supply remain criminally prohibited. Recently, there has been an increased “normalization” of cannabis use as well as debates about how cannabis should best be controlled under public health approaches; increasing proportions of Canadians have indicated support for liberalizing cannabis control. The present study is based on the 2014 CAMH Monitor, an annual representative, cross-sectional, telephone interview–based survey of Ontario adults aged 18 years and over. In 2014, the CAMH Monitor assessed public opinion on several items related to the control of recreational cannabis use, production, and distribution among a sample of 2,004 respondents. Results indicate that the majority of Ontario adults support reforming the – currently criminal – control of recreational cannabis use. However, preferences for how this control should be reformed are split between decriminalization with a fine, legalization with mandatory education and/or treatment, and categorical legalization. Further, the strongest support was expressed for production and distribution regimes that are tightly regulated by the state. More liberal preferences regarding control were observed, in some instances, among male and younger respondents. Current public opinion among Ontario adults overall supports liberalizing cannabis control, yet concrete reforms would require choosing among options that are not universally supported by the population.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".