Penalty Clauses through the Lens of Unconscionability Doctrine: Birch v. Union of Taxation Employees, Local 70030
Bibliographic record
Abstract
The author reviews the recent case of Birch v. Union of Taxation Employees, Local 70030, in which the Ontario Court of Appeal evaluated—in terms of the doctrine of unconscionability—the enforceability of a clause fining union members who cross picket lines during legal strikes. He applauds the decision as an important step toward jettisoning the traditional common law penalty doctrine, according to which stipulated remedy clauses designed to have an in terrorem effect upon a contracting party are per se unenforceable. The author criticizes the decision, however, for its failure to examine features of the case that would have been ignored under the penalty doctrine but that should have been prominent under the unconscionability doctrine. These features include: other provisions of the contract, the relative difficulty of arriving at “a genuine pre-estimate of the loss” as opposed to a “reasonable penalty”, and the process by which the contract was formed. The author concludes that, in failing to examine these features, the court missed an opportunity to clarify the changing law on the enforceability of stipulated remedy clauses.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".