Individual and environmental factors related to job satisfaction in people with severe mental illness employed in social enterprises
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to enhance understanding of the impact of individual and environmental variables on job satisfaction among people with severe mental illness employed in social enterprises. PARTICIPANTS: A total of 248 individuals with severe mental illness employed by social enterprises agreed to take part in the study. METHODS: We used logistic regression to analyse job satisfaction. A model with job satisfaction as the dependent variable, and both individual (occupational self-efficacy and severity of symptoms perceived) and environmental (workplace) factors (provision of workplace accommodations, social support from co-workers, organizational constraints) as well as external factors (family support) as predictors, was tested on the entire sample. RESULTS: All findings across the study suggest a significant positive impact of both individual and environmental factors on job satisfaction. People with higher occupational self-efficacy who were provided with workplace accommodations and received greater social support were more likely to experience greater job satisfaction. CONCLUSIONS: These results suggest that certain features of social enterprises, such as workplace accommodations, are important in promoting job satisfaction in people with severe mental illness. Further studies are warranted to expand knowledge of the workplace features that support employees with severe mental illness in their work integration process.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it