Postnatal maternal care predicts divergent weaning strategies and the development of social behavior
Bibliographic record
Abstract
Maternal care experienced during postnatal development predicts long-term neurobiological and behavioral outcomes. However, the cascade of behavioral changes that emerge in response to maternal care has not been elucidated. In the current study, we examine naturally occurring variation in postnatal licking/grooming (LG) in C57BL/6J mice to determine its impact on preweaning maternal and pup behavior, the weaning process, the pace of developmental change, the emergence of social behavior, and indices of anxiety-like behavior in adulthood. Our analyses indicate that lower postnatal LG is associated with truncated and more infrequent maternal behavior during the preweaning period. Moreover, compared to High LG dams, Low LG dams are observed to actively wean their offspring sooner and have offspring that play more frequently. The heightened pace of developmental change observed in offspring of Low LG dams suggests a more rapid transition to behavioral and nutritional independence, which could have implications for future reproductive strategies.
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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 | 0.000 | 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 | 0.001 |
| 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".