‘How can you worry about employment and survival at the same time?’: employment and mental health among precariously employed cisgender and transgender sexual minority adult men in Toronto, Canada
Bibliographic record
Abstract
This study addresses a gap in the labour market and occupational health literatures among sexual and gender minority workers by exploring the relationship between precarious employment and mental health through a political economy framework. Narratives from 20 cisgender and transgender sexual minority men were analysed to uncover the production of employment and mental health inequities. Results are presented temporally, including employment readiness, looking for work, and on the job, illuminating the social and structural processes that underly participants' stories of precarious employment and mental health. A cyclical pattern was identified whereby participants' mental ill-health resulted in separation from the labour market and increased employment precarity that subsequently further impacted their mental health. Interventions and programmes must consider multipronged approaches that address all aspects of this syndemic, including social stigma and discrimination towards sexual and gender minority people and improved access to stable employment, mental healthcare, and adequate social welfare systems.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".