Bibliographic record
Abstract
BACKGROUND: There is a significant proportion of workers with mental disorders who either are struggling at work or who are trying to return to work from a disability leave. OBJECTIVE: Using a population-based survey of working adults in Ontario, Canada, this paper examines the perceptions of workers towards mental disorders in the workplace. METHODS: Data are from a sample of 2219 working adults identified through random digit dialing who either completed a telephone questionnaire administered by professional interviewers or a web-based survey. RESULTS: A third of workers would not tell their managers if they experienced mental health problems. Rather than a single factor, workers more often identified a combination of factors that would encourage disclosure to their managers. One of the most identified disincentives was the fear of damaging their careers. The most pervasive reasons for concerns about a colleague with a mental health problem included safety and the colleague's reliability. CONCLUSION: Although critical for workers who experience a mental disorder and who find work challenging, a significant proportion do not seek support. One barrier is fear of negative repercussions. Organizations' policies can create safe environments and the provision of resources and training to managers that enable them to implement them. By making disclosure safe, stigma and the burden of mental disorders in the workplace can be decreased.
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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 | 0.003 | 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 | 0.001 | 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) | 0.000 | 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".