Canada is legalizing cannabis sales: Hereâs how it will work
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
Canada is legalizing the adult use of marijuana on Oct. 17 and will be the second and largest country to do so. Canada's legalizing recreational marijuana next week, making it the second and largest country to do so.The other country is Uruguay.Canadaâs Cannabis Act allows people 18 and older to buy marijuana online or in retail stores.Some rules might vary depending on the province.But the law sets a 30-gram limit on how much people can buy at once or possess in public.Unlike in the U.S., Canada is for now allowing sales of only dried cannabis flower, tinctures, capsules and seeds....edible products will come later.A key difference between the Canadian and American models is government involvement.In Canada, the federal government regulates producers. Canada so far has licensed some 120 growers.Federal taxes will total $1 per gram or 10 percent, whichever is more.The feds will keep one-quarter of that and return the rest to the provinces.Canada's legalizing recreational marijuana. Joins Uruguay as 2nd country to legalize. Must be 18 to buy; rules vary depending on province. Can buy up to 30-grams at once. For now allowing sales of only flower, tinctures, capsules and seeds. Difference between Canada, U.S. laws: government involvement.. In Canada, federal government regulates producers. Federal taxes will total $1 per gram or 10 percent. Feds keep one-quarter and return rest to provinces
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.048 | 0.006 |
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