Introduction to Volume I [of the Canadian Law of Obligations III Conference]: The Power and Limits of Private Law
Bibliographic record
Abstract
Private law issues touch the everyday experiences of individuals and businesses. Contracts, torts, trusts and other areas of private law and the law of obligations evolve with jurisprudential and statutory changes. The Power and Limits of Private Law is a timely compilation of papers developed from a conference on the subject at the University of British Columbia’s Green College in June of 2022. The contributors are eminent scholars in their respective fields and their commentaries and observations on developments in private law provide a useful reference for lawyers, judges, academics and students who confront private law issues in their work. The material in this collection covers a wide spectrum of issues, including Indigenous perspectives in contract law, the deterrent function of medical negligence law, exclusion of liability clauses, the doctrine of frustration, joint and several liability, good faith in the performance of contracts, justifications for judicial innovations in private law, and adaptations of the law of fiduciary obligations to problems from the age of technology. These topics which appear in this volume are just a sampling of the important issues of private law addressed by the conference and by its theme of The Power and Limits of Private Law. I enthusiastically recommend this volume to anyone interested in private law or the law of obligations. I commend Professors Marcus Moore and Samuel Beswick for organizing the conference that led to the publication of this volume. Their work in putting together this compilation will enable The Power and Limits of Private Law to make an enduring contribution to our understanding of these areas of law.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.062 | 0.014 |
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".