Evaluating the support needs of injured workers in managing occupational transitions after injury
Bibliographic record
Abstract
BACKGROUND: Historically the supports available to help injured workers transition back to pre-injury jobs focused primarily on the medical treatment of the injury and modifications in the workplace. However, for many injured workers, with chronic disabilities, the need for support extends to learning to live with newly exposed disabilities, managing changes within family and social life as well as meeting new expectations in claims and health management. Supports that many injured workers require to resume employment are not adequately addressed. OBJECTIVE: A critical social perspective was used to engage a partnership with injured worker group members in the design, implementation and evaluation of injured worker needs to promote social change. This paper reflects a program of research established in partnership with the Canadian Injured Worker Alliance to develop and examine a conceptual framework of supports for use in meeting the transitional needs of injured workers with chronic disabilities. Occupational and educational perspectives were used to develop a conceptual framework comprised of 8 dimensions of support. METHOD: A regional needs assessment using multi-methods, including surveys, interviews and focus groups, was conducted in British Columbia (BC). Priorities of three stakeholder groups were mapped to the 8 dimensions of support. This conceptual framework was also tested nationally to evaluate the distribution of supports that exist and identify further needs for support to help injured workers manage multiple transitions. FINDINGS: Access to the range of supports that injured workers need in transitioning to and from work is inconsistent and inequitable across Canada. CONCLUSION: Collaborative approaches and a broader spectrum of resources and supports are needed to help injured workers and their families in resuming meaningful participation in daily, social and productive occupations.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".