The Freedom of Association Mess: How We Got into It and How We Can Get out of It
Bibliographic record
Abstract
Canadian constitutional law regarding freedom of association for workers is a mess. The jurisprudence to date has taken an approach to state action and positive obligations to legislate which is inconsistent with section 15, and has failed to articulate the relationship between the abstract statement of basic rights or freedoms and the detailed statutes and regulations that instantiate and enforce them. This paper focuses on the impact of the recent decision of the Supreme Court of Canada in BC Health. The author argues that this case misunderstood Canada’s labour law history, international labour law obligations, “Charter values”, and the distinction between “freedoms” and “rights”. This paper argues that by using labour relations statutes as a starting point and applying the constitutional idea of equality, courts can protect freedom of association for workers and find a way out of the mess we are in.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.025 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.031 | 0.196 |
| Scholarly communication | 0.031 | 0.034 |
| Open science | 0.004 | 0.015 |
| Research integrity | 0.012 | 0.025 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".