Incidents of assault in the night time economy: the influence of supervision, training and culture upon officer decision
Bibliographic record
Abstract
This dissertation investigates the underpinnings of the arrest-decisions by front-line police officers at incidents of assault in the Night Time Economy. A qualitative approach was utilized, drawing primary data from field-work at three eastern Canadian services; an extensive search of previous literature provided relevant secondary data. The study sought to provide some understanding of why such arguably common occurrences may be handled by officers in a wide variety of ways – the results add another perspective to the literature relevant to NTE violence, and may be of use by administrators, supervisors and trainers towards improvements in policing practice and public safety. Specific scrutiny was given to the influences of training, supervision and culture. The study found that the majority of officers can recall little, if any, formal training in the theory, application or implications of discretion; most importantly, including the theorization that front-line police decisions define street-level policy. Further, due to a dearth of organizational and supervisory direction, officers learn how they might administer a bar-assault from others in their work-group; illustrated by the predominance of personal and shared perceptions towards the victim including a subjective determination of the seriousness of the assault. The implications of officer work-load, along with suggestions of avoidance and misconduct were also identified. The research provides recommendations toward improving practice through training and organizational direction specific to bar-assault, which would include input from all actors participating in the NTE.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".