Union Responses to Workplace COVID-19 Vaccine Mandates in Canada
Bibliographic record
Abstract
This article explores union responses to workplace-based covid-19 vaccine mandates in Canada. Specifically, the authors examine the complex interplay of factors that drove unions to adopt their respective positions on vaccine mandates and to frame those positions in particular ways for the benefit of their members and the wider public. Interviews with key informants, along with analysis of documents and arbitration decisions, reveal a disjuncture between the discursive quality of certain unions’ positions and their actual positions. In particular, media framing of unions as either “for” or “against” vaccine mandates oversimplified or misrepresented the actual positions adopted. In response, the article introduces a typology of union positions that distinguishes between support for mandatory-vaccination policies and support for voluntary-vaccination policies and reveals that the vast majority of unions favoured the latter. The authors further reveal that workplace vaccine mandates were both internally divisive and disorienting for unions, given the central role labour organizations play in managing workplace disputes and representing the interests of workers, both individually and collectively.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.023 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".