Burnout, job stress and attitudes towards the use of force by Norwegian police officers
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 Although many studies have considered burnout in the human services, little research on burnout has focused on police officers. This study aims to examine the relationship between burnout and police officers' attitudes towards the use of force and attitudes towards the use of social skills to solve problems. Design/methodology/approach Data were collected from 766 police officers in Norway using anonymously completed questionnaires. Findings Police officers reporting higher levels of cynicism also held more favorable attitudes towards the use of force; police officers reporting higher levels of professional efficacy also held more favorable attitudes towards the use of social skills to solve problems. Research limitations/implications Future research needs to examine these findings in other countries and using longitudinal research designs. Practical implications Organizations are advised to monitor burnout levels of front‐line service workers and introduce structures and processes to reduce burnout levels. Originality/value This study has value for senior police management and employment counselors.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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