Activity budgets and behavioural synchrony in a wild equid living in a fission-fusion social system
Bibliographic record
Abstract
Variation in activity budgets among individuals of different age-sex classes and reproductive status may lead to decreases in behavioural synchrony (i.e., individuals performing the same behaviour at the same time in the same group) in social species. Here, we assessed the costs of behavioural synchrony in terms of time allocated to feeding behaviour among individuals of different age-sex classes and reproductive status in the kiang (Equus kiang), a poorly known wild equid that inhabits the Tibetan Plateau. Our study was conducted in Eastern Ladakh (India), during summer and fall. Our results showed that groups were highly synchronized, and that individuals in groups were particularly synchronized when feeding. Despite a slight sexual dimorphism, males and females had similar activity budgets. Males in groups, however, spent less time feeding than solitary males, and females in groups with foals spent less time feeding and more time standing than females in groups without foals. We suggest that group formation in males and the presence of foals for females incur behavioural costs by lowering their time spent feeding. Because these costs occur at a predictable time of the year, it could be profitable for adult kiangs not to form permanent groups year-round. Individuals with divergent needs might benefit from the loose social system observed in kiangs, which could be a key feature of their adaptation to a highly seasonal environment.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".