Bibliographic record
Abstract
Psychedelic therapies are returning to psychiatry Professor Erika Dyck, Canada Research Chair in History of Health & Social Justice at the University of Saskatchewan argues that psychedelic drugs and therapies, whether conducted in ceremonial settings or clinical ones, are being touted as life-changing moments for their capacity to efficiently transform an individual's perspective on themselves. The number of people who suffer from mental illness has grown steadily, with the WHO now reporting that 1 in 5 people in the world lives with mental illness. Due to this, numerous psychedelic therapies have also emerged on this landscape as a potential treatment that may improve individual lives while also transforming the way we diagnose and treat mental illness around the world – labelled a "psychedelic renaissance". Initiatives to legalize, decriminalize, and/or regulate psychedelics have taken different legal forms – as the legal landscape is changing quickly – but there are undeniable and unprecedented successes in treating alcoholism and trauma-based disorders with psychedelic therapies, which Professor Dyck recommends to be explored in more depth.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.016 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".