The reinvention of Canadian tort law, 1945–95: <i>Jordan House</i> as case study
Bibliographic record
Abstract
This article employs the case study method to investigate the social history of Canadian tort law and litigation after 1945. Its focus is Menow v Jordan House, the stem precedent of the Canadian common law of tavern-keeper liability for intoxicated patrons. The article examines the historical genesis, pleading, and adjudication of this litigation, probing why – in Canada in the late 1960s and early 1970s – the novel tort claim of an ejected intoxicant against a vendor of alcohol not only was imagined, discussed, and commenced but also was won by the plaintiff at three levels of court. The authors argue that the Jordan House lawsuit exemplified a pivotal moment of socio-legal discontinuity in Canada, portending a quarter century of change in three major facets of its tort law system: in the perceptions of lay persons with respect to their private legal rights and obligations; in the personal convictions, social geography, and litigation strategies of Canadian lawyers; and in the formulation of tort doctrine by Canada’s trial and appellate judges. The article is a sub-study of a larger project on the reinvention of tort law and litigation in Canada in the half-century after World War II.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.037 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".