Saving New York's North Coast: Conference Executive Summary
Bibliographic record
Abstract
Conference Executive Summary May 5 & 6, 2005 Rochester, NY Sponsored and Organized by the Center for Environmental Information, Inc. Funding Cosponsors The Center for Environmental Information gratefully acknowledges financial support from the following co-sponsors:Canadian Consulate GeneralCornell University, Center for the Environment Eastman Kodak Company Ecology and Environment, Inc. NYS Department of State, Division of Coastal Resources NYS Department of Environmental Conservation NYS Energy Research and Development Authority US Environmental Protection Agency Cooperating Cosponsors Environmental Advocates of New York Finger Lakes-Lake Ontario Watershed Protection AllianceGenesee-Finger Lakes Regional Planning BoardGreat Lakes Research ConsortiumLake Plains Resource Conservation and DevelopmentMonroe County Fishery Advisory BoardNiagara County Center for Economic DevelopmentNY Sea GrantSave of SodusSave the RiverSodus Bay Improvement AssociationSUNY Brockport, Department of Environmental Sciences and BiologyThe Nature Conservancy, Central-Western NY ChapterTug Hill CommissionVillage of Fair HavenWater Education CollaborativeWayne County Soil and Water Conservation District
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.268 | 0.089 |
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".