The Sky Is Not Falling: Unionization, Wal-Mart and First-Contract Arbitration in Canada
Bibliographic record
Abstract
The conflict between property rights and the right of association creates the case for various policy avenues to ensure that employees have effective access to the right to associate for the purposes of collective bargaining. One such labour policy in Canada is first-contract arbitration. The experience of this policy in Quebec over the last three decades has achieved key objectives: ensuring first agreements for newly unionized workers, developing constructive bargaining relationships and overcoming what can be a major obstacle to an effective right to associate. After reviewing this experience, this article provides an overview of the unionization campaigns resulting in union certifications for the United Food and Commercial Workers Canada in six Wal-Mart facilities in Quebec province over the last six years. It then examines two recent cases of first-contract arbitration for these certifications. In one case, the company summarily closed the department concerned after the first contract was awarded. In the second case, the store remains open, with an operative collective agreement. Absent a policy of first-contract arbitration, it appears unlikely that this would be the case. The evolution of the bargaining relationship beyond the first-contract will provide a key test of the relative efficacy of Canadian policy approaches to ensure the freedom of association.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.032 | 0.010 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".