“It's frustrating … I didn’t join to sit behind a desk”: Police paperwork as a source of organizational stress
Bibliographic record
Abstract
Police officers are responsible for both proactive and reactive policing; however, every call for service, at a minimum, equates to an administrative process that is time-consuming and appears to distract from the ability of police officers to do their investigative and community-oriented police work. In this article, we explore the administrative processes that are paperwork as a source of organizational stress. Specifically, we draw on researcher observational field notes, focus groups, as well as interview data discussing the paperwork processes as a part of and contributing to the organizational and operational stressors experienced by, and the psychological burden and its effects on, police officers in a provincial policing agency in Canada. Results indicate not only the sheer volume of paperwork that police are responsible for, but also the extended time being spent “catching up” administratively and the psychological implications of such processes on their well-being, including, for example, decreased morale, frustration, and feeling overwhelmed.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".