After 10–7: trauma, resilience and satisfaction with life among retired police officers
Bibliographic record
Abstract
Purpose Most research on trauma, resilience and well-being among police officers focusses on those still on active duty. Comparatively speaking, and despite an aging workforce and established negative health outcomes, similar inquiries involving police retirees are not as common. The purpose of this paper is to examine the effects of on- and off-the-job trauma and resilience on satisfaction with life among a sample of retired police officers. Design/methodology/approach Data were collected via a cross-sectional nonprobability electronic survey of police retirees in Ontario, Canada. While controlling for employment-related variables and demographic characteristics, a series of hierarchical multiple regression models were used to examine the effects of on- and off-the-job trauma and resilience on satisfaction with life among a sample of 932 participants. Findings The analysis indicates that off-the-job trauma and both personal and social dimensions of resilience contribute uniquely to satisfaction with life among police retirees. Moreover, this full model explains nearly 37% of the variance in satisfaction with life. Originality/value This study's findings offer further direction to those working to support the health and well-being of officers currently on the job and those well into their retirement years.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".