La télésurveillance policière dans les lieux publics : l'apprentissage d'une technologie
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
Few studies have investigated law enforcement agencies' motivation and capacity to integrate video surveillance of public places into patrol- and criminal-investigation practices or the extent to which that motivation and capacity are constrained by independent regulatory agencies. In this paper, we assess the impact of a law-enforcement experiments in video surveillance in Montreal during a five-year period (2004 to 2008). Two strategies are compared. The first strategy made use of CCTV as a proactive and integrated element of a problem-solving initiative targeting an open-air drug-dealing market. The second strategy was essentially passive and CCTV cameras were spread along a street known for its nightlife, bars scene, and clubs. Findings show that video surveillance is, in fact, effective when closely linked to traditional police strategies and focused on a specific, recurrent, and localized problem. CCTV did manage to have an impact on the incidence of drug-dealing transactions as well as a collateral impact on the incidence of other offences, especially violent crimes. The second and more common approach, however, had no impact on crime.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| 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