Perceived need for workplace accommodation and labour force participation in Canadian adults with arthritis disability
Bibliographic record
Abstract
Data from the Canadian Health and Activity Limitation Survey were used. Working-age participants (25–64 years) with arthritis disability were included. Employment status was dichotomized into 0 = in labour force (employed and unemployed), 1 = not in labour force. Two latent constructs (lower body and upper body disability) were used to represent 12 categorical physical disability indicators (e.g. difficulty in walking) and one latent construct was derived for eight workplace accommodation indicators (e.g. lack of accessible workstation, elevator or flexible hours if needed). Personal variables (age, sex, education, and occupation) were also incorporated into the model. MPLUS was used to perform the categorical factor analysis and standard error of the mean analyses. Physical activity limitations affected labour force participation both directly and indirectly through perceived need for workplace accommodation. As people's activity limitations became severe they were more likely to perceive the need for workplace accommodation, and in turn, this lead to reduced labour force participation. Lower body activity limitations had more impact on labour force than upper body activity limitation. Older age, female gender, and low education were also associated with reduced labour force participation. Most of the effect of arthritis-associated physical activity limitations and all on labour force participation is mediated by perceived workplace accommodation, which underscores the importance of workplace accommodation provision.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".