Psychosocial factors predictive of occupational low back disability: towards development of a return-to-work model
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
This paper focuses on the identification and testing of potential psychosocial factors contributing to an integrated multivariate predictive model of occupational low back disability. Psychosocial predictors originate from five traditions of psychosocial research: psychopathological, cognitive, diathesis-stress, human adaptation and organizational psychology. The psychosocial variables chosen for this study reflect a full range of research findings. They were investigated using 253 subacute and chronic pain injured workers. Three outcome measures were utilized: return-to-work status, duration of disability and disability costs. The key psychosocial predictors identified were expectations of recovery and perception of health change. Also implicated, but to a lesser degree, were occupational stability, skill discretion at work, co-worker support, and the response of the workers' compensation system and employer to the disability. All psychosocial models were better at predicting who will return than who will not return to work.
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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 | 0.002 |
| 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