Case History of the FTQ's Social Stewards Network: A Unique Experiment in Union Peer Support for Mental Health in Workplaces in Quebec, Canada
Bibliographic record
Abstract
This article summarizes 10 years of research on an alternative actor providing peer support in Quebec workplaces since 1983: the Quebec Federation of Labor's Union Social Stewards Peer Support Network. Such work fills the gap in research on unions’ capacity to act with respect to workplace mental health and take collective control of preventing its injuries. Data were collated through 12 discussions (120-min) groups and some 60 semi-structured individual (90-min) interviews. Our findings highlight the importance of local unionism in maintaining workplace mental health. They also reiterate unions’ need to consider mental health injuries in the workplace as opportunities for reconstructing their strategies so as to rethink work and help institute a truly preventive strategy involving all stakeholders.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.047 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.005 |
| 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".