Opportunities Abound to Improve Mental Health and Psychological Safety in the Workplace
Bibliographic record
Abstract
This commentary provides a brief synopsis of the views expressed by the authors of the invited essay "The Business Case," Sari Sairanen, Deanna Matzanke and Doug Smeall. It then discusses the authors' views in light of the Mental Health Commission's framework for a Mental Health Strategy for Canada, titled Toward Recovery and Well-Being, and Dr. Martin Shain's two reports to the Mental Health Commission of Canada - Stress at Work, Mental Injury and the Law in Canada and Tracking the Perfect Legal Storm. The initiatives discussed in the lead paper are then compared with a 2009 consensus statement generated at a forum co-hosted by the Mental Health Commission and the Great-West Life Centre for Mental Health in the Workplace. The consensus statement reflects the recommendation of the forum's 40 participants that a Canadian national standard for psychological health and safety in the workplace should be developed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.015 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.021 |
| Scholarly communication | 0.016 | 0.011 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.024 | 0.020 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".