Mental health at work: From defining to solving the problem. Solving the problem: Preventing stress in the workplace
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cet ouvrage est issu des travaux effectués sur la prévention des problèmes de santé psychologique au travail (Brun, J.-P. et al. 2002), et s'adresse à celles et ceux qui souhaitent comprendre cette problématique et s'outiller afin de mieux la prévenir. L'itinéraire proposé comporte trois étapes: l'ampleur du problème, les causes et la prévention. Ces documents permettront aux travailleurs et aux organisations de mieux faire face à ce problème qui est la cause principale de l'augmentation de l'absentéisme au travail. De la même sérieScope of the problem: How workplace stress is shown What causes the problem? The sources of workplace stress Version française disponibleL'ampleur du problème : l'expression du stress au travailLes causes du problème : les sources de stress au travailFaire cesser le problème : la prévention du stress au travail Abstract The series entitled “Mental Health at Work... From Defining to Solving the Problem” is published by the Chair in Occupational Health and Safety Management at Université Laval, Québec, Canada. This series is intended for persons who are involved in occupational health and safety (OHS) and especially mental health at work. From the same seriesScope of the problem: How workplace stress is shown What causes the problem? The sources of workplace stress French version available>L'ampleur du problème : l'expression du stress au travailLes causes du problème : les sources de stress au travailFaire cesser le problème : la prévention du stress au travail
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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 it