November 2019: What areas will benefit from increased coverage of transit in Danville, IL?
Bibliographic record
Abstract
Dajoin Williams created this map in Spring Quarter 2019 in GIS III: Spatial Analysis for Sustainability. This map shows the 0.2 mile service area around the bus stops in pink, and block groups that might most benefit from increased coverage of the service area. The service area is constrained to a roadway network. We first selected block groups, shown as brown dots, that had more than 100 in population and were located outside of the 0.2 mile service area and within the 0.5 mile buffer of bus stops. From these, we selected suitable block groups, shown as green dots, that were classified as having low income, low transit ridership, and high number of workers. Suitable sites are concentrated in census tract 106, east of Westville in Vermilion County. This methodology might be used for transit studies to promote ridership in areas where it is most needed.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".