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 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 | 0.000 |
| Science and technology studies | 0.000 | 0.005 |
| 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".