Symposium: It's All in the Game: A Nonfoundationalist Account of Law and Adjudication, by Allan Hutchinson
Bibliographic record
Abstract
In this issue, the Osgoode Hall Law Journal presents a special symposium of review-essays on Allan Hutchinson's book, It's All in the Game: A Non-foundationalist Account of Law and Adjudication. A member of the faculty of Osgoode Hall Law School since 1978, Professor Hutchinson is well known internationally for his rich and provocative contributions to the literature of Critical Legal Studies. In numerous books, articles, and essays, he has challenged us to think harder about a wide span of issues in tort, constitutional law, jurisprudence,professional responsibility, judicial independence, law and post-modernism, and other fields. The review-essays that follow are written by three leading legal theorists from Canada (Richard Devlin), Australia (David Fraser), and the United States (Frank Michelman). They reconfirm Hutchinson's reputation for generating powerful theoretical insight, engaging wordplay, and lively intellectual controversy. They also mark a significant evolution in his work toward a more complex view of law's indeterminacy and the practice and politics of judging.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".