Habitat Analysis and Survey of the Yellow-Bellied Sapsucker, <em>Sphyrapicus varius</em>, in the Southern Appalachians.
Bibliographic record
Abstract
The purpose of this study is to provide a habitat analysis of the Yellow-bellied Sapsucker, Sphyrapicus varius, in the Southern Appalachians. This population of S. varius is unique because it breeds in the high elevations of the Southern Appalachians, while the northern population breeds from Pennsylvania to Alberta Canada. Albert Ganier described this population in 1954 (Ganier 1954). Using the Relevee method of habitat analysis I have described the territories of several breeding pairs in the Southern Appalachians. This analysis suggests that these birds require an open canopy of northern hardwood forest with some type of open area as a part of their territory. I have measured several other factors of the habitat as well. The information obtained in this study will be used to guide management practices to maintain and increase the population size of S. varius ssp. appalachiensis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.010 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".