Evaluation of self-esteem as a worker for people with severe mental disorders
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Self-esteem plays an important role in the recovery, particularly the work integration, of people with severe mental disorders. The Rosenberg Self-Esteem Scale, a widely used instrument that taps into global self-esteem, has been adapted to specifically assess self-esteem as a worker. The present study aimed at validating the Rosenberg Self-Esteem as a Worker Scale and determining its sensitivity to change in people with severe mental disorders registered in Supported Employment programs. An exploratory factor analysis showed two emerging factors later supported by a confirmatory factor analyses. The first subscale was named "Individual Self-Esteem as a Worker", and the second subscale, was entitled "Social Self-Esteem as a Worker". A subsequent MANCOVA further showed that the past work experience has a significant main effect on the Individual Self-Esteem as a Worker subscale. Furthermore, results revealed that only the Individual Self-Esteem as a Worker subscale changes significantly when people obtain employment. Finally, work satisfaction and particularly items related to satisfaction regarding the supervisor were significantly related to the Individual Self-Esteem as a Worker subscale. Avenues of research are discussed concerning the crucial role of the supervisor in improving the self-esteem as a worker and the work integration of people with severe mental disorders.
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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 | 0.002 | 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