Sustainable Coping Among Experienced 911 Operators
Bibliographic record
Abstract
Research has identified 911 operators to be at great risk for developing post-traumatic stress disorder, depression, anxiety, and burnout. In light of this finding, there is a need for preventive practices as well as and interventions for this population of emergency personnel. In the present study, the focus is on individual coping strategies of those with on-the-job experience.\nTo explore the coping strategies used by 911 operators, this study focused on a sample population of experienced workers. Data was gathered through qualitative semi-structured interviews conducted with a diverse sample of 911 operators from a Canadian police service. The interview data was analyzed using a qualitative content procedure. The resulting themes included personal traits and perspectives, support in the workplace, communication of feelings and needs, cultivating a work-life balance, taking time away from the problem, and addressing thoughts and feelings that arise in response to the problem. These themes are compared and contrasted with the available literature.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".