Prevalence of PTSD symptoms in Canadian 911 operators
Bibliographic record
Abstract
By answering the 911 telephone line, ascertaining what type of help is needed (police, ambulance, or fire) and how fast they are to respond, the 911 communications operator is the “first” of first responders. If 911 operators were not able to extract vital information from panic stricken people and make split second decisions to send the required help, members of the public would not receive the assistance they need and many could perish. Yet, 911 operators are forgotten when it comes to prevention, education, and treatment for stress-related injuries resulting from their work. This study examines whether 911 operators suffer from post-traumatic stress symptoms than could amount to a diagnosis of PTSD, which of these symptoms are most prevalent, and what other factors such as workplace stressors may contribute to their stress levels. This study is the first one in Canada focusing specifically on post-traumatic stress disorder within the profession of 911 communications operators.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".