Well Enough to Work? Social Enterprise Employment and the Geographies of Mental Health Recovery
Bibliographic record
Abstract
This article examines the significance of paid work and workplaces for people living with mental ill health. Employment and workplaces have been largely absent in the mental health geography literature in part because of the persistent problems that people with mental ill health face in finding and retaining paid work; yet paid work and questions of productivity remain central to the very meaning of mental illness in capitalist society. To address this gap, we report on research involving social enterprises in Canada that reduce barriers to participation in paid work. Through the provision of accommodations and supports, these enterprise sites challenge the disabling division of labor characteristic of mainstream workplaces. In so doing, they provide a context in which people, understanding themselves as “well enough to work,” can enact new forms of economic subjectivity. The meaning of paid work in these alternative sites remains defined in relation to the norms of the capitalist economy, however. Thinking beyond these narrowly defined conceptions of wellness and productivity offers an important avenue for future mental health geographies.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.017 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".