Nape Coloration Varies with Sex, not Age, Among Great Shearwaters <i>Ardenna gravis</i>
Bibliographic record
Abstract
Most petrels (family Procellariidae) exhibit little or no obvious variation in plumage with age or sex, either because plumage performs no sexual function or does so in a way poorly perceptible to humans. This limits the inferences that can be made from visual observations of petrels at sea. However, it has been suggested that nape coloration of Great Shearwaters Ardenna gravis whitens with age. Here we test this supposition using observations of known-age-class individuals. We necropsied birds bycaught around Gough Island, a major breeding colony in the South Atlantic Ocean, and in Massachusetts Bay, a wintering area off the northeastern coast of the USA, to determine sex and classify nape coloration. In addition, we classified the nape coloration of adults and fledglings photographed in colonies on Gough Island and Inaccessible Island in the South Atlantic. Across birds (n = 328), ratios of light:intermediate:dark napes did not differ significantly between age classes, and the accuracy of age classification based on putative nape variation was only 52%. Nape coloration did, however, vary systematically with sex and location: in Massachusetts Bay, light napes were more prevalent in adult females. Off Gough Island, where only adults were sampled, this disparity did not occur. We conclude that while nape coloration may vary due to feather wear, it is not a reliable indicator of age. Rather, it may perform a sexual function, possibly mediating mate choice. Further study of plumage variation and behavior at the colony would be required to test this hypothesis.
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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) | 0.002 | 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".