A Revision to the Distribution of Plumage Polymorphism in the Red‐Tailed Hawk (<i>Buteo jamaicensis</i>)
Bibliographic record
Abstract
ABSTRACT Aim The high proportion of plumage polymorphism in raptor species presents exciting research potential. Unfortunately, fundamental knowledge gaps remain that limit our ability to fully understand the development and role of plumage polymorphism in this group and extend those insights to vertebrates as a whole. We report data that fills one such knowledge gap in the red‐tailed hawk (Buteo jamaicensis) that will enable investigations to uncover factors that influence the biogeography of plumage polymorphism in the species and raptors more generally. Location North America. Taxon Buteo jamaicensis (red‐tailed hawk). Methods We captured and outfitted four dark and 22 light morphs with GPS/GSM satellite transmitters during the non‐breeding season in the Great Lakes region of North America to assess their breeding provenance and behaviours. We calculated 95% AKDE nesting home ranges during an 80‐day period meant to capture the incubation and brood‐rearing periods and compared home ranges by age and sex to contextualise movements. Results Our results indicate that dark types nest in eastern Canada and belong to the same breeding population as the light individuals tagged in our study, extending the known distribution of plumage polymorphism in the species approximately 1500 km eastward into eastern Canada. Main Conclusions This revised distribution of plumage polymorphism is a critical first step for understanding the biogeography of plumage polymorphism and assessing drivers of within‐population trait diversity in this species, and predatory vertebrates more generally.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".