Reducing speeding via inanimate police presence
Bibliographic record
Abstract
Research Summary The present research uses data from a police‐directed field study to explore the effects of police presence on speeding in two large cities in British Columbia, Canada. As part of the study, an inanimate but realistic‐appearing police cut‐out (“Constable Scarecrow”) was strategically positioned along roadways while motorist speed was measured using a radar‐recording device. The analyses of the multisite evaluation reveal that the presence of the cut‐out can reduce speeding when deployed along arterial roadways. Policy Implications Traffic collisions are a leading cause of death and nonfatal injuries for people worldwide. A well‐documented contributor to traffic collisions is speed. Controlling speed has thus become a priority for government, police, and community groups across the world. The findings from the present research demonstrate that police can reduce speeding via their inanimate presence. This is the first known study to evaluate the effects of an inanimate but realistic‐appearing police cut‐out on motorist behavior: a sustainable, low‐cost, and easily implementable intervention for communities of all sizes in all places.
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.
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 | 0.000 | 0.000 |
| 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 | 0.000 | 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 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".