A study of factors influencing return to work after wrist or ankle fractures
Bibliographic record
Abstract
BACKGROUND: Factors associated with time to return to work are poorly understood for occupational injuries, other than those to the back. METHODS: Anonymized data on claims for work-related wrist or ankle fracture between 1/1/1998 and 12/31/2002 were identified in administrative data held by the Workers Compensation Board in Alberta, Canada. Bivariate and Cox regression analyses were used to identify factors associated with return to work. RESULTS: Increased duration of temporary disability (TD) was associated with older age, female gender, work in construction and construction trade services, smaller company size, higher industry claim rates, a fall/jump from a height, ankle fracture, and greater medical aid costs in the 30 days following injury (used as a proxy for severity). CONCLUSIONS: Factors associated with longer time off work were largely consistent with those reported following back injury. Median time to return to work was longer following ankle than wrist fracture. Although Workers' Compensation Board (WCB) administrative data provided information that could be used to identify factors affecting return to work, better information on injury severity would considerably enhance their research potential.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".