Canadian workplace experiences of systemic lupus erythematosus (SLE)
Bibliographic record
Abstract
SLE impacts the individual’s ability to engage in meaningful employment. Disease-related un(der)employment has substantial direct and indirect costs,1 as well as psychosocial and relationship impacts.2 These costs disproportionately affect already disadvantaged populations. With the demonstrated adverse economic and psychosocial impacts related to ceasing work prematurely, maintaining employment is recognised as both a positive health intervention and societally beneficial. Workplace policies and labour laws in many jurisdictions, including Canada, mean that individuals with disabilities should be reasonably accommodated to maintain participation in the workforce. Yet the specific challenges of SLE for employment (eg, fatigue, invisibility to others, periodic flares) are not captured by current legislation3 despite one-fifth of those with SLE being unable to work.4 5 The limited research on job accommodations in SLE focuses primarily on rheumatoid and osteoarthritis.6 One notable exception is a Canadian cross-sectional study indicating those who maintained employment and those who left equally reported having attempted at least one form of job accommodation (70% and 72%, respectively), but those who remained employed had more opportunities to access a variety of accommodations including altering their own work schedules.7 However, the study could not speak to the decision to disclose, experiences of accommodations offered/used, whether they were perceived as beneficial or the contextual factors influencing those who ultimately left the workforce. This is essential information to support meaningful employment for those with SLE. We investigated the challenges of maintaining employment and the potential for job accommodations to meet these challenges using a qualitative integrated knowledge translation approach.2 We sought to understand the context for when SLE diagnoses are disclosed to the employer as the first step towards receiving accommodations, job accommodations experienced as …
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.027 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".