The New York State Bird Conservation Area (BCA) Program: A Model for the United States
Bibliographic record
Abstract
The New York State Bird Conservation Area (BCA) Program, modeled after the National Audubon Society?s Important Bird Areas Program, is based on legislation signed by Governor Pataki in 1997. New York is the first state in the nation to enact such a program. The BCA Program seeks to provide a comprehensive, ecosystem approach to conserving birds and their habitats on state lands and waters, by integrating bird conservation interests in agency planning, management, and research projects, within the context of agency missions. Several state agencies and conservation organizations are involved in the BCA Program through representation on the Advisory Committee. Since 1998, 25 BCAs have been designated, totaling nearly 73,000 ha (more than 180,000 acres). These sites cover a diversity of habitats across the state, including wetlands along the Niagara River, Lake Ontario, and Long Island Sound; forests in Central New York and along the Hudson River where Cerulean Warbler (Dendroica cerula) nest; and high elevation forests in the Adirondack and Catskill Mountains that are home to Bicknell?s Thrush (Catharus bicknelli). The BCA program employs 4 full-time biologists who work with local site managers to complete management guidance summaries and plan research, management, and interpretive projects for the sites. Management, research, and interpretive projects initiated to date include kiosks and trailside panels containing interpretive materials; invasive plant management; surveys for marsh birds, Cerulean Warblers, and Prothonotary Warblers (Protonotaria citrea); and a handicap accessible plank walkway and viewing platform. See http://www.dec.state.ny.us/website/dfwmr/wildlife/bca/ for more information.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.059 | 0.010 |
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".