Canadian workers at risk: Removing barriers to treatment for public safety professionals (PSP)
Bibliographic record
Abstract
Canadian workers at risk: Removing barriers to treatment for public safety professionals (PSP) Gregory S Anderson, from Thompson Rivers University and Helen Dragatsi, from Government of Canada speak to us about removing barriers to treatment for Canadian workers at risk. It has long been recognized that public safety personnel (PSP) experience a high risk of psychological impacts caused by traumatic events within their occupations. Such exposures have been linked to increased incidence of posttraumatic stress injuries (PTSI), including anxiety, posttraumatic stress disorder (PTSD), depressive disorders, suicide ideation, and substance abuse. In response, most Canadian jurisdictions (provinces and territories) have adopted new workers’ compensation legislative amendments that create a presumption in favor of PSP who suffer from trauma-induced mental disorders. In these situations, the mental disorder is presumed to have been caused by the responder’s employment. These presumptive clauses facilitate access to workers’ compensation for public safety professionals (PSP) who previously had the onus of proving that their psychological impairments resulted from their work.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".