Physical condition of Black-capped Chickadees (<i>Poecile atricapillus</i>) in relation to road disturbance
Bibliographic record
Abstract
Roads and their associated low-frequency noise have been linked with a reduction in abundance and density for many songbird species. However, a handful of species remain equally abundant in roadside habitats and nondisturbed areas. Abundance is a valuable baseline indicator of a species’ ability to adapt to habitats altered by roads, but does not directly ascertain whether health is affected in these species. Here we examine whether Black-capped Chickadees (Poecile atricapillus (L., 1766)), a species that remains abundant near roads, exhibit higher levels of chronic stress or reduced physical condition when residing near roads. Neither hematological measures of chronic stress, nor any of our measures of physical condition, differed significantly between Black-capped Chickadees inhabiting areas near or far from roads. Our results suggest that health and physical condition, like abundance, are not significantly affected by roads in the Black-capped Chickadee. This species may be an ideal model for understanding how some songbird species adapt to roads and the noise that they produce.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; 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".