Genetically‐based behavioural morph affects stopover refuelling performance in white‐throated sparrows <i>Zonotrichia albicollis</i>
Bibliographic record
Abstract
Intraspecific competition can influence refuelling at migration stopover sites. White‐throated sparrows Zonotrichia albicollis have genetically‐determined plumage morphs that differ in dominance behaviour and competitive abilities. This study examines the effects of plumage morph, sex and age, three likely indicators of competitive ability, on fall migration timing, body composition, and refuelling rates during stopover at Long Point, Ontario. We used quantitative magnetic resonance analysis and plasma metabolite profiling to determine body composition and refuelling rates, respectively. We determined sex and plumage morph genetically. Competitive ability did not influence migration timing. Controlling for structural size, males had larger lean mass than females, but we found no differences in body fat or lean mass between plumage morphs. Plasma metabolite concentrations indicated that the aggressive white‐stripe morph refuelled faster than the less aggressive tan‐stripe morph, though there were no differences among sex and age groups. We suggest that increased refuelling rates did not result in increased fat or lean mass because 1) individuals categorised as less competitive had longer stopover durations to compensate for slower refuelling rates; or 2) costs of behaving more competitively offset gains from faster refuelling rates.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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; a candidate call from one teacher head, 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".