Canada (Attorney General) v. Bedford: The World's Oldest Profession Struggles to Carve out a Future for Itself
Bibliographic record
Abstract
June 13, 2013,' the Supreme Court of Canada heard oral argument in Canada (Attorney General) v. Bedford.Final argument in front of the Supreme Court was the culmination of a four-year legal battle to change Canada's prostitution laws.The Supreme Court's forthcoming decision has the potential to strike down up to three laws that criminalize acts related to prostitution 2 and may cause a dramatic change in the prevalence, nature, and safety of prostitution throughout Canada.The first section of this article provides procedural background for the case and information about the parties; the second section outlines each of the challenged statutes and the practical effect of each statute; and the third section addresses the two lower courts' decisions with respect to each statute.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.035 | 0.010 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 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".