Children’s autonomic nervous system activity while transgressing: Relations to guilt feelings and aggression.
Bibliographic record
Abstract
Despite the well-established protective functions of guilt across childhood, its underlying physiological mechanisms have received little attention. We used latent difference scores (LDS) to model changes in children's (N = 267; 4- and 8-year-olds, 51% girls) skin conductance (SC) and respiratory sinus arrhythmia (RSA) while they imagined themselves committing antisocial acts. We then tested if their later reports of guilt, caregiver-reported aggressive behavior, and age were associated with these physiological changes. For 8-year-olds, changes in RSA leading up to and during transgressions were uniquely associated with the intensity of guilt feelings after transgressions. Eight-year-olds with higher guilt were rated lower in aggression, although children's physiology and aggression were not directly related. We discuss how fluctuations in physiology while transgressing may prepare children to mount adaptive guilt responses afterward and-more broadly-implications for understanding the mechanisms behind guilt and related behavior in early and middle childhood. (PsycINFO Database Record
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".