Bridging the Gap Between Dreams and Realities Related to Employment and Mental Health: Implications for Policy and Practice
Bibliographic record
Abstract
Access to valued resources, especially to employment and income, is a critical issue in community mental health. Appropriate public policy and services are needed to bridge the gap between dreams and realities related to employment for people with a serious mental health illness. This article reviews current literature in the area of employment and mental health, and describes the findings of a research study focusing on these issues in one community in Southern Ontario. This study used a participatory, action-oriented approach to understand the ideal employment situation for people with a serious mental health illness, and to explore the barriers preventing them from finding, getting, and keeping work. Concrete areas for action (generated by people with a serious mental health illness working with service providers in this field) are suggested in order to respond to employment barriers at various levels and to make employment a reality for people experiencing a serious mental health illness.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.046 | 0.071 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.020 | 0.050 |
| Scholarly communication | 0.020 | 0.020 |
| Open science | 0.005 | 0.020 |
| Research integrity | 0.013 | 0.012 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".