Bog Turtle Habitat on the Lake Ontario Coastal Plain of New York State
Bibliographic record
Abstract
We develop a concept of suitable habitat for Glyptemys (Clemmys) muhlenbergii (Bog Turtle) on the Lake Ontario Coastal Plain of central and western New York State and compare it to habitat for this species in other parts of its distribution. At the outset of our studies in 1987, only a single Bog Turtle population was known to survive on the Lake Ontario Plain. We located and visited nine of the 10 historically recorded Bog Turtle sites in northern, central and western New York and completed a survey of 84 selected wetlands in Oswego County, at the eastern end of the Lake Plain. In the course of the study, we confirmed the presence of the Bog Turtle at a site where it was last documented in 1916 and discovered populations at three previously undocumented sites, one of which is now the northernmost recorded site for the species. Bog Turtle habitat on the Lake Ontario Coastal Plain is open-canopy, sedge-dominated medium to rich fens contained within larger wetlands that often include an open pond and extensive Acer rubrum (Red Maple) or Red Maple-Larix laricina (Tamarack) swamp. We discuss events that may have led to the current distribution of Bog Turtle populations in central and northern New York and in western Pennsylvania and implications of this distribution pattern for the conservation of the species.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".