Domestic and foreign policy preconditions and consequences of the legalization of marijuana in Canada
Bibliographic record
Abstract
На сегодняшний день легализация марихуаны является одной из самых острых и обсуждаемых проблем канадского общества. Она затрагивает такие сферы как здравоохранение, экономика, политика, юриспруденция и международные отношения. Главными оппонентами являются Консервативная и Либеральная партии Канады, которые активно отстаивают свои позиции и не идут на компромиссы. По результатам парламентских выборов 2015 года, Либеральная партия во главе с Джастином Трюдо стала правящей партией Канады. Это событие принесло кардинальные изменения, и беспокойство общества и политических деятелей о том, ответить «да» или «нет» легализации марихуаны, сменилось рядом практических вопросов, которые больше связаны с тем, как именно эта легализация будет реализована.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".