On the economics of post-traumatic stress disorder among first responders in Canada
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
There is an increasing awareness of the tragic consequences of post-traumatic stress disorder (PTSD) among first responders in Canada. There is also an increasing awareness of the lack of understanding about the economic and social costs of PTSD in Canada. This article aims to briefly review the current evidence on the prevalence rates of PTSD, the economic costs associated with PTSD, and the costs and efficacy of various treatment strategies, to provide a framework for future research on the economic analysis of PTSD. Estimates suggest that as many as 2.5 million adult Canadians and 70,000 Canadian first responders have suffered from PTSD in their lifetimes. While we could not find any evidence on the economic cost of PTSD specifically, a recent estimate suggests that mental illness in the Canadian labour force results in productivity losses of $21 billion each year. Research from Australia suggests that expanded mental health care may improve the benefits of treatment over traditional care, and more cost-effectively. Given the methodological challenges in the existing studies and the paucity of evidence on Canada, more Canadian studies on prevalence, on the economic and social costs of PTSD, and on the costs and effectiveness of various treatment options are encouraged.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it