Bibliographic record
Abstract
“The Canadian government is taking a public health approach to legalizing, strictly regulating, and restricting access to cannabis.” Those were the words of Minister of Health Ginette Taylor in November 2017, spoken as the government of Canada began to put together Bill 45, known as The Cannabis Act.Over a year has passed since the enactment of Bill 45 and questions still remain regarding the safety of legal cannabis to our pregnant population, both in the short- and long-term.2 Even preceding the legalization of cannabis in Canada, a 2017 survey by the Centre for Addiction and Mental Health (CAMH) indicated that from 1996–2017, adults of reproductive age (i.e., 18–29 years) in Ontario reported the biggest increase in cannabis use, from 18.3% to 39.1%.3 Moreover, in 2017, the proportion of Ontarians reporting cannabis use in a span of just 1 year rose from 15.7% to 19.4%, representing a total of 2 million people.
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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".