Medical Marijuana, Community Building, and Canada’s Compassionate Societies<sup>1</sup>
Bibliographic record
Abstract
Marijuana’s use as medicine is now legal in Canada for patients who meet strict compassionate use guidelines. Most who self‐medicate, however, still do so on their own terms, without government approval or the guidance of physicians. In this unregulated climate, “compassion clubs” outside the law play a vital role in the provision of safe access and therapeutic knowledge about medical marijuana. Operating on the margins of society, these outlets fulfill another purpose in creating a community among persons who are often highly marginalized themselves. Club membership provides a group identity, empowerment, and restorative supports over and above the marijuana use itself. The authors examine the role of compassion clubs in the lives of patients who choose to self‐manage their pain and suffering by using marijuana. This supportive function of the clubs will be contrasted with the overly restrictive, formal system of supply under Canada’s evolving Marihuana Medical Access Regulations (MMAR).
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".