Transitions to work for persons with serious mental illness in northeastern Ontario, Canada: Examining barriers to employment
Bibliographic record
Abstract
This paper considers the importance of place in the conceptualization of transitions to work for persons with serious mental illness (SMI). A qualitative case study was conducted to explore the influence of place on access to employment for persons with SMI. In-depth interviews, focus groups, and demographic data collected from urban and rural residing individuals who experience SMI, mental health and vocational service providers, and decision makers across northeastern Ontario inform this paper. The results highlight the primary theme, stuck in the mud, which explains how people with SMI, service providers and decision makers are stuck regarding employment. Ultimately, their being stuck creates a variety of place-related tensions and a tendency to settle for less in the area of employment for persons with SMI. The condition of being stuck in the mud is expressed as a metaphor depicting the existing tensions between ideas which govern provincial employment policy for persons with SMI and the mainstream or dominant discourse governing local organizations, programs and practices in the case communities and supports the need to consider place in policy implementation.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.018 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".