Entry Controls in Taxi Regulation: Lessons from North American Experience
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
This paper assesses the effects of entry regulation on cab availability and service quality in 43 cities and counties in the United States and Canada. Particular attention is given to the interaction between entry controls, entry qualifications and customer markets in shaping the effects of entry policy. The analysis shows that the effects of entry controls are quite different in cities and counties in which the preponderance of trips are initiated through telephone orders (dispatch) than in localities with significant cab stand and street hail markets. Entry restrictions are most applicable in walk-up cab stand and street hail markets while more flexible forms of entry control are most applicable in dispatch markets. A major challenge for officials charged with regulating taxi entry is to address the disparate needs of dispatch and walk-up markets in cities with substantial trip volumes in both markets. Approaches to this challenge and implications for regulation are discussed.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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