A Measure and Model of Psychological Health and Safety in the Workplace that Reflects Canada's National Standard
Bibliographic record
Abstract
Abstract To monitor workplace factors associated with well‐being and performance in the Department of National Defence, and embodying departmental efforts to create and maintain a healthy workplace, we assembled a comprehensive and psychometrically sound survey battery that reflects Canada's national standard for psychological health and safety. Moreover, for testing and understanding the relationships among the survey variables and national standard factors, we applied an evidence‐based framework to build a conceptual psychological health and safety model. In this article, we introduce our survey and model to other organizations and the wider academic community, we provide some preliminary support for the pattern of results illustrated in our climate profiles, and we discuss our future research agenda to address current limitations. © 2018 Her Majesty the Queen in Right of Canada. Canadian Journal of Administrative Sciences © 2018 ASAC. Published by John Wiley & Sons, Ltd. Reproduced with the permission of the Minister of National Defence.
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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 | 0.009 | 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 | 0.003 | 0.004 |
| 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; both teacher heads agree on what is shown here.
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".