Wrongful Termination Claims in the Supreme Court\nof Canada: Coming Up Short
Bibliographic record
Abstract
The author concludes that the Supreme Court of Canada's narrow interpretations in Wal-Mart and Honda undermine the purposes of collective bargaining and human rights legislation, respectively Wal-Mart involves an unfair labour practice complaint following the closing of a store in Jonquibre, Quebec. The author contests the analysis of the Supreme Court of Canada, as being far removed from the context of the real difficulties in dealing with determined anti-union employers, instead facilitating statutory evasion. Honda involves a claim for wrongful dismissal, where the issue at the Supreme Court of Canada level is one of remedy, premised on the dismissal amounting to disability discrimination in breach of human rights legislation. The author criticizes the majority holding that the case did not involve such a breach, as flying in the face of well-established human rights 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 | 0.009 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.046 | 0.017 |
| Scholarly communication | 0.025 | 0.005 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.033 | 0.024 |
| Insufficient payload (model declined to judge) | 0.005 | 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".