(Where is) the Tipping Point for Governmental Regulation of Canadian Lawyers? Perhaps it is in Paradise: Critically Assessing Regulation of Lawyer Involvement with Money Laundering After Canada (Attorney General) v Federation of Law Societies of Canada
Bibliographic record
Abstract
The Supreme Court of Canada in Canada (Attorney General) v Federation of Law Societies of Canada 1 confirmed that Canada's Provincial and Territorial Law Societies have the sole jurisdiction to regulate the conduct of lawyers sufficiently to prevent and curtail lawyers' involvement in money laundering, ousting the jurisdiction of Federal authorities which otherwise regulate and control money laundering in other sectors.Consequently, this decision places a high burden on law societies as regulators, and assumes *
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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 | 0.030 | 0.094 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.047 | 0.041 |
| Scholarly communication | 0.033 | 0.009 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.013 | 0.013 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".