Meeting the Public’s Need for Transit Options: Characteristics of Socially Equitable Transit Networks
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 outlines how key characteristics of the transit network affect social equity and provides insight on how equity concerns can be meaningfully incorporated into transit project analysis. The United States has several legislatively-required equity considerations built into project funding and planning, including the Federal Transit Authority (FTA) “New Starts and Small Starts” requirement to double-weight lower-income riders when scoring projects and to consider housing affordability near transit projects, as well as the Civil Rights Act Title IV requirement to consider the impacts of fare or service changes on minority populations. Canada does not have similar federally mandated legal requirements, but social equity is an important consideration for transit network planning regardless, as transit is essential for enabling and improving social equity in metropolitan regions.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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