Emotion-related Processes in Children: Links to Aggression and Prosociality
Bibliographic record
Abstract
Emotion-related processes are considered important for how children respond to social situations. This dissertation focuses on two key emotion-related processes: emotion recognition and physiological regulation. The goal of this dissertation is to gain a better understanding of when, how, and in what contexts these processes relate to children’s socio-emotional development. Studies 1 and 2 assess emotion recognition and physiological regulation to further understand how they individually relate to children’s socio-emotional development. Study 1 focuses on relations between physiological regulation—measured via resting respiratory sinus arrhythmia (RSA)—and prosociality in children. Specifically, this study addresses whether a “Goldilocks” (i.e., curvilinear) model more appropriately matches how physiological regulation is related to prosociality in children, as opposed to a linear relation. Study 2 focuses on how negative emotion (NE) recognition is linked to aggression, as opposed to externalizing problems more generally, in children within and across time. Emotion recognition and physiological regulation are closely anatomically and theoretically related, thus study 3 assesses their potential independent and interacting contributions to overt aggression. The findings suggest that NE recognition is important for understanding overt aggression, as opposed to non-aggressive externalizing problems, in early and middle childhood. Further, NE recognition subcomponents (insensitivity and misspecifications) were differentially related to distinct forms (reactive and proactive) of children’s overt aggression within and across time. Many of these relations were buffered in children with higher resting RSA. Lastly, moderate resting RSA was associated with increased prosociality in middle, but not early, childhood. Together, these findings suggest that (1) poor NE recognition is linked to increased overt aggression in children, (2) lower resting RSA is related to difficulties with prosociality and aggression, especially when combined with other emotion processing challenges (i.e., poor NE recognition), (3) relations differed based on whether relations were assessed concurrently versus longitudinally, and (4) some relations depended on the developmental period of the child. This research suggests that the importance of emotion recognition and physiological regulation depends on the age of the child and the time span assessed. Additionally, these processes interact with one another and may differentially affect prosociality versus aggression in children.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".