Variations in Mental Health Act calls to police: an analysis of hourly and intra-week patterns
Bibliographic record
Abstract
Purpose Investigating the day of week and hour of day temporal patterns of crime typically show that (late) nights and weekends are the prime time for criminal activity. Though instructive, mental-health-related calls for service are a significant component of police service to the community that have not been a part of this research. The purpose of this paper is to analyze calls for police service that relate to mental health, using intimate partner/domestic related calls for police service for context. Design/methodology/approach Approximately 20,000 mental health related and 20,000 intimate partner/domestic related calls for police service are analyzed. Intra-week and intra-day temporal patterns are analyzed using circular statistics. Findings Mental-health-related calls for police service have a distinct temporal pattern for both days of the week and hours of the day. Specifically, these calls for police service peak during the middle of the week and in the mid-afternoon. Originality/value This is the first analysis regarding the temporal patterns of police calls for service for mental health-related calls. The results have implications for police resourcing and scheduling, especially in the context of special teams for addressing mental health-related calls for police service.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".