Law enforcement officers and Employee Assistance Programs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose – The toll of the stresses of policing on officers’ physical and mental health and on their individual work and family functioning has been well documented in the literature. Given the well-established consequences of work-related stress on law enforcement, it becomes important to understand how officers are utilizing institutional support systems. Specifically, the purpose of this paper is to elucidate the relationship between officers and Employee Assistant Programs (EAPs). Design/methodology/approach – Data were collected from surveys attached to an online officer training targeting domestic violence in law enforcement families in a large southern state. Findings – A total of n =934 participants were retained for analyses. Few respondents (16.2 percent) reported accessing their EAPs. Totally, 56.4 percent reported knowing enough about their EAP and how to access it; 33 percent of participants would not use their EAPs for domestic violence concerns. No significant differences among officers who did and did not access their EAPs for workplace stress, posttraumatic stress, alcohol use, or domestic violence were identified. Significant differences in alcohol use, posttraumatic stress, and operational stress were identified in those who reported not knowing enough about how to access their EAP. Practical implications – Concrete suggestions are offered to help increase officers’ knowledge and understanding of the importance of mental health and EAPs. Agencies should consider a more comprehensive approach to mental health to ensure that officers get the help they need. Originality/value – Very little is known about the relationship that law enforcement officers have with EAP services. This study sheds light on some important differences in work-related stress, stress reactions, and knowledge and familiarity with EAP services.
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.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 it