Employee disability disclosure and managerial prejudices in the return-to-work context
Bibliographic record
Abstract
Purpose This paper investigates the extent to which disability type contributes to differential evaluation of employees by managers. In particular, the authors examined managerial prejudice against 3 disability diagnoses (i.e. psychiatric, physical disability and pending diagnosis) compared to a control group in a return-to-work scenario. Design/methodology/approach Working managers (N = 238) were randomly assigned to 1 of 3 scenarios containing medical documentation for a fictional employee that disclosed either the employee's psychiatric disability, physical disability, or a pending diagnosis. The authors also collected a separate sample (N = 42) as a control group that received a version of the medical documentation but contained no information about the disability diagnosis. Findings Compared with employees without stated disabilities, employees with a psychiatric disability were evaluated as more aggressive toward other employees, less trustworthy and less committed to the organization. Compared to employees with either physical disabilities or pending diagnoses, employees with psychiatric disabilities were rated as less committed to the organization. The authors discuss implications for future research and the trade-offs inherent in disability labeling and disclosure. Originality/value The current study extends prior research by examining a broader range of outcomes (i.e. perceived aggressiveness, trustworthiness and commitment) and moving beyond performance evaluations of employees with disabilities. The authors also assess the relative status of a “pending diagnosis” category—a type of disclosure often encountered by managers in many jurisdictions as part of accommodating employees returning to work from medical-related absence.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".