Effects of breeding density and plumage coloration on mate guarding and cuckoldry in blue grosbeaks (<i>Passerina caerulea</i>)
Bibliographic record
Abstract
For species in which females mate outside of the pair bond, selection should favor male mate-guarding behaviors that minimize investment in genetically unrelated offspring. Mate guarding may impose costs by diverting time and energy from activities such as foraging and seeking extra-pair copulations, so males should adjust their mate-guarding behavior according to the risk of cuckoldry. In this study, we investigated cuckoldry and mate guarding in the blue grosbeak (Passerina caerulea L., 1758), a socially monogamous, territorial songbird. Fifty-three percent of nestlings were extra-pair, and 70% of nests had at least one extra-pair fertilization. Males with dull plumage coloration were more likely to be cuckolded than males with more brightly colored plumage, but duller males did not guard their mates more. Instead, males appeared to adjust mate-guarding behavior according to the attractiveness of neighbors. Males with more brightly colored neighbors guarded their mates more intensely than males with fewer colorful neighbors. These observations suggest that in the blue grosbeak, mate guarding is a context-dependent strategy that is adjusted according to the density and ornamentation of neighboring males.
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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".