Supported-Employment Program Processes and Outcomes: Experiences of People With Schizophrenia
Bibliographic record
Abstract
OBJECTIVE: This qualitative study explored participants' experiences of a supported-employment program. Understanding participants' opinions of a supported-employment program may provide insights into what processes and outcomes are meaningful and important for participants and may enable an evaluation of such processes and outcomes for their congruence with occupational therapy practice. METHOD: Supported-employment program participants with schizophrenia (N= 7) were recruited from an agency and interviewed individually with open-ended questions. Data were analyzed using a grounded-theory approach. RESULTS: We developed a tentative grounded theory with three themes of supported-employment program outcomes: (a) removing barriers to job seeking, (b) improving psychological well-being, and (c) participating in work. CONCLUSION: Supported-employment program participants can achieve meaningful personal outcomes even though they do not obtain competitive employment. These programs removed barriers to job seeking, but personal readiness and efforts in job seeking contributed most to obtaining employment.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| 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".