Introduction: The McLachlin Court's First Decade - A Dynamic Time for Public Law
Bibliographic record
Abstract
This is the Table of Contents and Introduction for the edited collection of essays on the first decade of Public Law jurisprudence under Chief Justice Beverley McLachlin of the Supreme Court of Canada. Chief Justice McLachlin assumed the chief justice's mantle in January 2000 and has now served in that role for over a decade. In this book, leading Canadian public law scholars reflect upon the court's contributions to various areas of the law. The book includes contributions by David Mullan, Lorne Sossin, Peter Oliver, Nathalie Des Rosiers, Thomson Irvine, Marie-Claire Belleau, Anik Lamontagne, Rebecca Johnson, Susan Gratton, Freya Kristjanson, Constance Macinstosh, Lori Sterling, Peter Landmann, Nathalie Des Rosiers, Daniel Proulx, Thomas Kuttner, Don Stuart and John H. Currie. La plupart des chapitres sont en anglais, mais plusieurs sont en francais. Most of the chapters are in English but several are in French. English chapters have french abstracts and French chapters have English abstracts.The book also includes an address given by Chief Justice McLachlin on the occasion of a conference to mark the 10th anniversary of her chief justiceship held in June 2009 in Ottawa.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.049 | 0.009 |
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".