Social ageing varies within a population of bottlenose whales
Bibliographic record
Abstract
How social behaviour changes as individuals age has important consequences for the health and function of both human and non-human societies. However, the extent of inter-individual variation in social ageing has been underappreciated, especially in natural populations of animals. Here, we leverage a photo-identification dataset spanning 35 years to examine social ageing in an Endangered population of northern bottlenose whales (Hyperoodon ampullatus), an oceanic beaked whale that exhibits fission-fusion social dynamics. Patterns of social ageing were sex-specific: males experienced a decline in social behaviour with age, shedding direct social connections and holding less central social roles. Conversely, female social traits were generally stable throughout adulthood, while the average strength of their relationships increased with age. Beyond sex, additional inter-individual variation played a large role in how animals responded socially to age. This study shows that inter-individual variation can play a key role in how animals experience behavioural senescence.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".