The Behavioral Response to Increased Pedestrian and Staying Activity in Public Space: A Field Experiment
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
William Whyte originally hypothesized that the presence of people in a public space would attract more people. Contemporary planners now refer to “sticky streets” as places where pedestrians are compelled to linger and enjoy vibrant public life. We test the hypothesis that adding users to a public space will attract more people using an experimental design with confederates to add pedestrian movement and staying activity in a residential street for 45 randomly selected hours. We observed staying behavior by gender with and without our intervention. We find that the addition of public users reduced the total number of people staying in our study area, especially among women. We find that women’s right to the city may be constrained by the mere presence of other individuals, even in safe spaces and during daylight hours. Our findings suggest that Whyte’s claim is not universal, but depends on the conditions of a particular site.
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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 | 0.000 | 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 it