Using the ICF as a conceptual framework to guide ergonomic intervention in occupational rehabilitation
Bibliographic record
Abstract
Traditional treatment of work-related musculoskeletal disorders focuses on the body functions and body structures aspects of the injury, with little or no attention paid to ergonomics as a form of treatment. The use of ergonomics in preventing disability in injured workers is a relatively new area of study. There are a number of factors that may contribute to the lack of emphasis on ergonomic interventions in the prevention of disability following musculoskeletal injury. For instance, a review of the knowledge base suggests that there is a lack of a formal conceptualization or standardized approach to ergonomics in the return to work process. In part, this lack of consistency may be due to the varied disciplinary backgrounds of ergonomists, leading individuals to view ergonomics from a specific perspective, rather than utilizing a transdisciplinary approach. The purpose of this paper is to introduce a new practice model of occupational rehabilitation ergonomics. The model draws upon the International Classification of Functioning, Disability, and Health (ICF) and merges this with basic ergonomic and rehabilitation principles.
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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 | 0.021 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.012 | 0.006 |
| Science and technology studies | 0.005 | 0.025 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".