Western New York Stormwater Coalition: Compliance through Collaboration
Bibliographic record
Abstract
The Erie County Department of Environment and Planning initiated a regional strategy to assist the local municipal governments from Erie and Niagara Counties in understanding and complying with the U.S. Environmental Protection Agency's (EPA) Phase II Stormwater regulations.This strategy included formation of the Western New York Stormwater Coalition (WNYSC), a group consisting of representatives of Erie County, Niagara County, several local and state government agencies, 41 regulated municipalities and environmental consultants.For the past six years, the members of the Coalition have met on a monthly basis to collaborate on the development and implementation of a comprehensive Stormwater Management Plan.The Coalition utilizes a workgroup format to address the six minimum controls that the regulations require.Each workgroup is responsible for their respective components of the Stormwater Management Plan.To date, development and implementation of the Stormwater Management Plan is an unfunded mandate.The formation of the Western New York Stormwater Coalition provides an opportunity for the regulated communities to share resources and work in partnership toward compliance with the Phase II Stormwater requirements.The Coalition recently partnered with Buffalo State, State University of New York, in obtaining funding from
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.060 | 0.060 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.022 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".