Stability and change in gartersnake social networks across ontogeny
Bibliographic record
Abstract
Abstract Developmental studies of sociality in non‐human animals can offer important insights into the evolution, function, and plasticity of social behavior, especially in understudied species. We examined the development of social behavior in gartersnakes. We hypothesized that social interactions change as snakes age, but are relatively stable in the short term. To assess developmental changes in social patterns, we examined the social tendencies of a group of 6 eastern gartersnakes over the first year and a half of their lives. We placed the snakes in an arena for 8 days and recorded the time that they spent in physical proximity to each other. We repeated this 8‐day process 7 times across the snakes’ development. We looked at changes in association patterns and individual differences in sociality (i.e., network position), and examined the effect of group size reduction on social behavior. We found that individuals tended to show repeatable network position across time, but there was a behavioral divide between younger snakes and mature snakes. When male snakes reached sexual maturity, they began initiating most social interactions. Additionally, group member attrition caused the networks to tighten, and the population reduction in combination with sexual maturity created stable social networks. This research shows that social context can have important effects on sociability, and that even a species without permanent social groups will be influenced by its social 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 | 0.000 |
| Scholarly communication | 0.001 | 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".