Exploring the Lived Experiences of 911 Dispatchers: A Phenomenological Study
Bibliographic record
Abstract
911 dispatchers are considered the first of the first responders. Despite existing literature concluding 911 dispatchers experience rates of traumatic exposure similarly to other emergency service personnel, there is limited research regarding this population’s specific experiences. The purpose of this study was to explore the lived experiences of 911 dispatchers to determine the consistency of their experiences with the limited existing literature regarding trauma-related disorders among dispatchers. In this international study, a transcendental phenomenological research approach was utilized to describe the lived experiences and commonalities of the participants. Participants were primarily recruited through social media groups specifically for 911 dispatchers. Based on the findings from this study, six prominent themes emerged: (a) health issues, (b) juxtaposed positive and negative work environment, (c) passion and pride about work, (d) cumulative stress, (e) vicarious traumatization, and (f) strained interpersonal relationships. Limitations, recommendations for future research, and implications are discussed. Keywords: 911 dispatchers, traumatic calls, posttraumatic symptoms, lived experiences
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".