Psychedelics to Relieve Psychological Suffering Associated with a Life-Threatening Diagnosis: Time for a Canadian Policy Discussion
Bibliographic record
Abstract
In Canada, the conversation to enable access to therapeutic psychedelics is under way. With recent federal initiatives, Canadians can request access to psychedelic-assisted therapies (PATs) to alleviate enduring and intolerable psychological suffering (EIPS) associated with life-threatening conditions on a case-by-case basis. The resurgence of past research concerning the therapeutic potential of PATs, promising preliminary results from contemporary clinical trials, public and media interest and the recognition of traditional Indigenous use of psychedelics have facilitated a change in the popular narrative around these stigmatized substances. A lack of access to PATs for treating EIPS, especially at end of life, is a public policy problem worth addressing.
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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 | 0.036 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.024 | 0.025 |
| Scholarly communication | 0.021 | 0.010 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.025 | 0.031 |
| Insufficient payload (model declined to judge) | 0.019 | 0.001 |
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".