Provincial law reform agencies in Canada: are they really that different from the Scottish Law Commission?
Bibliographic record
Abstract
This article provides an overview on the structure and guiding principles of the new Law Commission of Ontario and considers the present state of law reform at the provincial level. The author suggests that the establishment of the Ontario agency continues a trend that started about a decade ago with provincial governments reversing earlier decisions to either close down or cut funding to agencies. 1 1 Gavin Murphy, ‘The Rise, Decline and Current Status of Canada’s Law Reform Agencies’ (2004) 30 CLB 900. He indicates that the launch of the Law Commission of Ontario is a positive development and could signal further interest and renewed support for provincial law reform in Canada. The article also examines the history, mandate and work of the Scottish Law Commission and concludes that the challenges it faces are similar to those confronting Canada’s provincial law reform agencies.
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.029 | 0.014 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".