Examining Factors Associated With the Length of Short-Term Disability-Free Days Among Workers With Previous Short-Term Disability Episodes
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study is to examine the timing of short-term disability recurrence among workers who have previously experienced a short-term disability episode. METHODS: The dataset comes from a Canadian resource sector company's 2003 to 2006 short-term disability leave and human resource datasets. The multi-year dataset consists of the records of 3593 employees who experienced at least on short-term disability episode between 2003 and 2006. RESULTS: The overall 1-year disability-free rate was 72.1% ± 1.6%. About half of workers with previous disability episodes for mental/behavioral disorders were disability free for more than 800 days. In contrast, about 50% of workers with previous disability episodes for physical disorders were disability free for more than 1300 days. CONCLUSIONS: These findings suggest the majority of workers with previous short-term disability episodes for mental/behavioral disorders remain disability free for more than 2 years. However, the duration of disability free days for these workers is half that of other workers with previous episodes.
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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 | 0.006 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".