Bibliographic record
Abstract
With the legalization of recreational uses of cannabis Canadian local governments will need to regulate some cannabis-related activities. Thanks to statutory enhancements of the powers of municipalities and greater judicial respect for municipal authority, local governments generally have flexible powers that are broad enough to allow them to regulate the location and other aspects of cannabis-related activities, including consumption in public places and licensing cannabis-related businesses. Local governments can also ban some or all cannabis-related activity, either by taking advantage of local option clauses included in some provincial and territorial legislation, or by grounding bans on purely local powers. Local bans of activities such as home cultivation, cannabis lounges or retail sales will be valid if they are narrow in scope, enacted for a municipal purpose, and do not frustrate the purpose of the Cannabis Act. Broader local bans will face greater challenges, and would need to be geographically limited to minimize the impact on national objectives. They would also need to be grounded in a municipal purpose such as health and safety or protecting a unique cultural or religious community character.
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.
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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.020 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".