The relationship between leadership and gregariousness in mixed‐species bird flocks
Bibliographic record
Abstract
Among the various species that form mixed‐species bird flocks, “nuclear species” are thought to be important in flock formation and maintaining flock cohesion. Such nuclear species have been noted to occur in large groups on their own and to lead flocks, but the relationship between leadership and intraspecific group size has not been quantitatively tested at a large scale. Using a dataset of descriptive studies of terrestrial flock systems collected over 75 y, we found that intraspecific group size was significantly larger in flock leaders than in species that attend the same flocks but do not lead. The relationship held in a reduced dataset with phylogenetically‐independent flock systems. We discuss a framework for explaining the connection between leadership and intraspecific group size, contrasting between those hypotheses that emphasize that gregariousness serves to attract the attention of other species, and those hypotheses that suggest that gregariousness leads to kin‐selected behavior from which other species can also benefit.
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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 | 0.005 |
| 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 | 0.001 |
| 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".