In Debate The Case for Policy Reform in Cannabis Control
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This is not a debate on the harms of cannabis. These arewell-known. Acute effects include accidents with motor vehicles or machinery, and adverse reactions.1,2 In the longer-term, cannabis has been associated with cognitive impair-ment3 and psychosis,4 although not consistently,3 and direct causality is more difficult to establish than for acute effects. It is possible that cannabis precipitates schizophrenia in those who are predisposed through a personal or family history.5 The relation is also 2-way, with cannabis being the most com-monly used illicit drug in those with schizophrenia.3 Rather, this is a debate of how best to address the mental health consequences of cannabis. More specifically, it is a debate about overreliance on just one supply-side strategy, prohibition, at the expense of demand-side approaches, such as education, treatment, or prevention. This is of particular relevance to Canada as proposed legislation (Bill C-26) will
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it