Work Productivity Among Employed Canadians With Arthritis
Bibliographic record
Abstract
OBJECTIVE: To compare work productivity among employed people with arthritis to healthy controls. METHODS: The data source was the 2005 Canadian Community Health Survey. The outcomes were work absence (absenteeism) in the last week and reducing activities at work (presenteeism). The key explanatory variable was chronic condition status: 1) no chronic conditions; 2) arthritis only; 3) any chronic condition but arthritis; and 4) arthritis with other chronic conditions. Logistic regressions were used to measure the association between chronic conditions status and absenteeism and presenteeism. RESULTS: The odds of presenteeism among people with arthritis only were 8-fold greater than the odds among people without any chronic conditions. However, arthritis only was not found to increase the odds of absenteeism. CONCLUSIONS: Employed people with arthritis are able to continue working but at reduced capacity.
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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 | 0.000 |
| Scholarly communication | 0.000 | 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 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".