Competition and Labour Law in Canada: The Contestable Margins of Legal Toleration
Bibliographic record
Abstract
In Canada, as elsewhere, the norms of capitalist legality include an aversion to permitting collective action by sellers of commodities to increase their price. Labour law, however, is built on the norm of freedom of association and the right of commodified workers to combine for the purpose of improving the terms of their labour contracts. This gives rise to a recurring regulatory dilemma. In Canada, this conflict has been resolved by granting workers a legal immunity from liability under competition law for engaging in approved collective action to improve or defend their terms and conditions of work. However, the zone of toleration is contestable at three margins, explored in this chapter. First, is the margin between those workers who are covered by the exemption and those who are not; second between the sale of labour power and the sale of the commodities it produces; and the third is between the means that covered workers can lawfully use to make their combinations effective and those that take them out of the zone of toleration. The chapter explores the history of the construction of the zone of toleration and the conflicts over its margins, which are currently stable.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.031 | 0.042 |
| Scholarly communication | 0.017 | 0.004 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.005 | 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".