Public Safety Personnel’s interpretations of potentially traumatic events
Bibliographic record
Abstract
BACKGROUND: Many public safety personnel (PSP) experience trauma directly or indirectly in their occupational role, yet there remain barriers to accessing care or seeking help. AIMS: To understand how PSP interpret different potentially traumatic events and how perceived eligibility for being traumatized is determined among PSP. METHODS: We analysed open-ended comments provided by over 800 PSP in a survey designed to assess the prevalence of post-traumatic stress injuries and other mental disorders. RESULTS: We found evidence that a trauma hierarchy may exist among PSP. Certain experiences may be interpreted as more traumatic, based on both the event and the PSP role in the actual event. For example, involvement in a shooting may be interpreted as more traumatic than arriving on the scene later. Similarly, a single event may be deemed more traumatic than an accumulation of events. The role of the individual and social context in shaping experiences and interpretations of trauma may be largely ignored in line with confirmation biases. CONCLUSIONS: The role that individuals and social contexts play in shaping experiences and interpretations of trauma appear suppressed by perceptions of a trauma hierarchy, facilitating systematic discrediting or valuation of some experiences, therein evidencing that trauma is subjective and reinforcing barriers to care seeking. A trauma hierarchy may also propagate stigma and legitimize discrimination regarding mental health. We argue that recognizing, engaging with, and dismantling the perception of a trauma hierarchy may help create a respectful and open occupational culture supportive of mental health needs.
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 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 | 0.007 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".