Pt 3 Supreme Recollections - His Brilliant Legacy: A Conference in Honour of Peter W. Hogg
Bibliographic record
Abstract
His Brilliant Legacy: A Conference in Honour of Peter W. Hogg was held on January 10, 2024 at Osgoode Professional Development and co-hosted by Osgoode Hall Law School and Blake, Cassels & Graydon LLP.\nThis session includes: "Supreme Recollections: Peter Hogg and the Supreme Court of Canada"\nFour current justices of the Supreme Court of Canada share their professional reflections on Peter Hogg and their relationship with him as counsel, scholar, and colleague.\nChair: The Hon. Justice Lorne Sossin, Ontario Court of Appeal, former Dean, Osgoode Hall Law School\nPanelists: The Hon. Justice Karakatsanis, Supreme Court of Canada, The Hon. Justice Martin, Supreme Court of Canada, The Hon. Justice Kasirer, Supreme Court of Canada , The Hon. Justice Jamal, Supreme Court of Canada
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.058 | 0.019 |
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".