The Common Law of Obligations : Divergence and Unity
Bibliographic record
Abstract
Unity, divergence and convergence in the common law of obligations / Andrew Robertson and Michael Tilbury -- The influence of comparative law on the English law of obligations / Andrew Burrows -- Unity, then divergence : the Privy Council, the common law of England and the common law of Canada, Australia and New Zealand / Paul Finn -- A conscious effort to develop a "different" common law of obligations : a possible endeavour? / Goh Yihan -- A common law of tort : is there a European rift in the common law family? / Paula Giliker -- A judicial perspective on the development of common law doctrine in the light of statute law / Anthony Mason -- Public actors and private obligations : a judicial perspective / Sian Elias -- The tort liability of public authorities : a comparative analysis / Peter Cane -- We'll meet again : convergence in the private law treatment of public bodies / Niamh Connolly -- How to have a common private law : the presuppositions of legal conversation / Allan Beever -- The philosophies of the common law and their implications : common law divergences, public authority liability and the future of a common law world / Dan Priel -- Obligations, governance and society : bringing the state back in / TT Arvind -- Divergent evolution in the law of torts : jurisdictional isolation, jurisprudential divergence and explanatory theories / James Gouldkamp and John Murphy -- Common law values : the role of party autonomy in private law / Sarah Worthington
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.026 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.011 | 0.136 |
| Scholarly communication | 0.024 | 0.051 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.007 | 0.013 |
| 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".