Bibliographic record
Abstract
The absence of a knowledge requirement is a novel and astonishing feature of unconscionability in Canada, and one that calls for scholarly reflection. In other jurisdictions and formerly in Canada, unconscionability required that the benefiting party knew or at least should have known that its counterpart was impaired in the making of the contract. Such knowledge established a minimum level of wrongdoing, so that even without more active exploitation, it was unconscionable as an “unconscientious abuse of power.” But following the Supreme Court decision in Uber Technologies Inc. v. Heller (2020), Canadian contract law rejects this conventional approach. It does not require exploitation to relieve improvidence by the vulnerable. It is argued here that this does not reflect the notion of unconscionability, and is better understood rather as a novel doctrine of contractual absolution. This article analyzes the important implications of this maverick doctrine for the law, the market, and fundamental assumptions about the nature of contractual obligation.
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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.071 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.007 | 0.011 |
| 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".