Graduated Freedom of Association: Worker Voice Beyond the Wagner Model
Bibliographic record
Abstract
The guarantee of freedom of association in section 2(d) of the Canadian Charter of Rights and Freedoms has been held to protect the right of workers to make collective representations to their employers without fear of reprisals, and to require employers to engage in meaningful dialogue about those representations. Wagner-style statutes such as the Ontario Labour Relations Act condition the right to collective bargaining on majority employee support for a trade union. Because that condition is impossible to meet in practice in a great many workplaces, large numbers of employees are left with no effective means of exercising their right of association. In response to growing worker demand for new forms of collective voice, this paper puts forward a modest proposal called Graduated Freedom of Association. Under that proposal, a new “thin” model of freedom of association would serve as an alternative to the “thicker” Wagner model for workers who do not have collective representation under the latter model. The thin model, which would have some parallels to the provisions of the much-criticized Ontario Agricultural Employees Protection Act, would enable all workers to exercise at least the minimum bundle of rights and freedoms protected by the Charter without having to opt for a majority union as bargaining agent. Graduated Freedom of Association would impose few new substantive obligations on employers, but would help to address the large representation gap for employees who want a collective voice at work but cannot realistically acquire it under today’s labour relations statutes.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.031 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".