Data from: Delineating connectivity and quality of peer–peer prepubescent rhesus macaque (<em>Macaca mulatta</em>) relationships, by examining coupled social behaviors
Bibliographic record
Abstract
Infant development is relatively extended in primates, with early life experiences having lifetime implications for individuals’ social competence and circumstances. Therefore, lifelong trajectories can be informed by a nuanced understanding of who individuals connect with (i.e., connectivity) and how invested they are in those connections (i.e., quality) during development. Though a simple premise, in principle, the practice of examining social connectivity and quality relies on a nuanced understanding of how prepubescent monkeys shift their behavioral repertoire over time. Such shifts involve the same putative partners that may recur over time. We focused on measuring peer-peer relationships through the first three years of life for two birth cohorts of 49 rhesus macaques (Macaca mulatta), while in their large outdoor housed mixed-sex home group. We recorded five social behaviors, allocated into monthly bins, and then built multiplex temporal networks to concatenate these bins into four temporal partitions. We then examined the auto- and cross-correlations of five social behaviors using a multivariate multiple response time series model to understand the behavioral dynamics of relationship connectivity and quality. We reinforced known principles of relationship formation by examining the effect of ego and alter traits, including demographics and assortativity. Coupled dynamics suggest that proximity broadly subsumes social dynamics (i.e., inclusive of aggression), while contact subsumes prosocial dynamics (i.e., exclusive of aggression). Directed behaviors did not show evidence of concordance with each other across time. Overall, these results highlight the dynamic nature of social development across multiple behaviors, underscoring how early social choices shape the formation, stability, flexibility, and long-term maintenance of relationships.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".