Estimating urban sprawl standards by means of the Urban Metric System
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 article emphasizes the radically original character of the Urban Metric System: use of vector fields, a single parameter, several types of urban areas, a single input (the distribution of populations and jobs), no political boundaries taken into account and no density as input, abandonment of urban-rural distinctions and of the "commuting" criterion to distinguish the central city and its metropolitan area, and estimation of the centers, boundaries and densities of urban areas as outputs. The genesis of this approach is presented here for the first time. It leads not only to the calculation of a synthetic urban sprawl criterion (average distance to the center), but also to the estimation of four functions for calculating urban sprawl standards for central Canada, which was the authors’ ultimate research objective in terms of policy and planning.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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