Divorce and breeding dispersal in the dunlin Calidris alpina: support for the better option hypothesis?
Bibliographic record
Abstract
Abstract Social monogamy is a rare mating system among animals, occurring commonly only in birds. In long-lived birds, pair bonds may persist for several seasons in some species, while in others mate change occurs even when both partners are still alive. Here, we test predictions from the adaptive hypotheses for divorce, using long-term data (15 years) on mate change and reproductive success in a long-lived shorebird, the dunlinCalidris alpina. We found that about one quarter of the pairs divorced (23% of 126 breeding attempts). Among the divorcing females, six changed partner more than once (one female changed partner three times). Following divorce, females dispersed longer than males. Start of egg-laying (presumably reflecting arrival time to the breeding ground), previous breeding success, and male age or size did not seem to influence the occurrence of divorce. However, females that changed mate between consecutive breeding attempts achieved higher reproductive success. Moreover, this improvement appeared independent of breeding experience. Since we were unable to detect any effect of divorce on male reproductive success, our results suggest that divorce in the dunlin is best explained by the better option 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 | 0.001 | 0.003 |
| 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 | 0.001 |
| 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".