Canada's new law strengthens drug regulatory powers but is vague on mandatory trial registration
Bibliographic record
Abstract
Canada’s parliament has passed a bill enabling health ministers to compel the recall of unsafe drugs and demand labelling changes, steps that previously required lengthy negotiations with manufacturers. Bill C-17, which has passed its final reading in the Senate and now awaits only royal assent, brings Canada’s historically weak regulatory powers into line with those in other jurisdictions in developed countries. It also empowers the health minister to disclose confidential business information in explaining decisions and to order companies to conduct post-marketing studies, whose results the national health department, Health Canada, may share with provincial and aboriginal governments. The …
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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 | 0.036 | 0.100 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.013 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.025 | 0.024 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".