Show me a man or a woman alone and I'll show you a saint: Changes in the frequency of criminal incidents during the COVID-19 pandemic
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
OBJECTIVES: To investigate the effect of the COVID-19 pandemic on the frequency of various crime types (property, violent, and mischief) in Vancouver, Canada. METHODS: Crime data representing residential burglary, commercial burglary, theft of vehicle, theft from vehicle, theft, violence, and mischief are analysed at the city level using interrupted time series techniques. RESULTS: While COVID-19 has not had an impact on all crime types, statistically significant change has been identified in a number of cases. Depending on the crime type, the magnitude and direction of the change in frequency varies. It is argued that (mandated) social restrictions, shifted activity patterns and opportunity structures which are responsible for these findings. CONCLUSIONS: We find support for changes in the frequency of particular crime types during the COVID-19 pandemic. This is important for criminal justice and social service practitioners when operating within an extraordinary event.
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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 | 0.002 | 0.001 |
| 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 | 0.000 |
| Open science | 0.001 | 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