Bibliographic record
Abstract
This project was initiated and conducted by the Wildlife Conservation Society Adirondack Program beginning in 2004. We have monitored a suite of boreal target species in low elevation boreal habitats in the Adirondacks, conducting 10 minute point counts along transects of 5 points and occurring annually at approximately 60 locations. This work has been more robust in some years than others due to available funding; highest numbers of sites visited are associated primarily with 2007 and later. Official target species are American three-toed toodpecker, black-backed woodpecker, olive-sided flycatcher, yellow-bellied flycatcher, Canada jay, boreal chickadee, Tennessee warbler, Cape May warbler, bay-breasted warbler, palm warbler, Lincoln’s sparrow, and rusty blackbird, though this dataset includes information for other songbird and woodpecker species also. We have never had high enough detections of three-toed woodpeckers, nor Tennessee, Cape May, and bay-breasted warblers to conduct population analyses. Occupancy patterns and trends for these and other species are described in Glennon (2014) and Glennon et al. (In Review). These data also contributed to the findings described in Ralston et al. (2015) and McNulty et al. (2016). WCS closed its Adirondack Program in 2018; this work will continue through the Adirondack Watershed Institute of Paul Smith's College.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.940 | 0.864 |
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".