Do Female Zebra Finches, Taeniopygia guttata, Choose Their Mates Based on Their ‘Personality’?
Bibliographic record
Abstract
A major challenge in behavioural and evolutionary ecology is to understand the evolution and maintenance of consistent behavioural differences among individuals within populations, often referred to as animal ‘personalities’. Here, we present evidence suggesting that sexual selection may act on such personality differences in zebra finches (Taeniopygia guttata), as females seem to choose males on the basis of their exploratory behaviour per se, while taking into account their own personality. After observing a pair of males, whose apparent levels of exploration were experimentally manipulated, females that exhibited low-exploratory tendencies showed no preference during mate choice for males that had appeared to be either ‘exploratory’ or ‘unexploratory’. In contrast, intermediate and highly exploratory females preferred apparently exploratory males over apparently unexploratory ones. Our results suggest that behavioural or genetic compatibility for personality traits might be important for mate choice, at least for exploratory individuals.
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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 | 0.000 | 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 | 0.000 |
| 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".