Why are tactical officers responding to ‘routine’ calls? Using police data to examine the presence of risk factors during seemingly low risk incidents
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
Previous research has suggested that tactical officers across North America commonly respond to calls characterized as ‘routine,’ which has raised significant concerns. However, most of this research relies on de-contextualized data, such as the broad call category (e.g., domestic), to ascertain the nature of the incidents that receive a response from tactical officers. To provide a more nuanced understanding of these incidents, we were provided access to one year’s worth of operational data from the Winnipeg Police Service and conducted a content analysis on incidents that received a response from tactical officers (n = 1652). Overall, we found that the primary role of tactical officers was responding to high-risk calls in which violence (n = 599) and weapons (n = 820) were reported. Furthermore, our findings highlight that the initial call type is not a reliable indicator of the risk posed to public or officer safety.
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 | 0.012 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 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 it