Afternoon cortisol provides a link between self‐regulated anger and peer‐reported aggression in typically developing children in the school context
Bibliographic record
Abstract
Aggression jeopardizes positive development in children and predicts social and academic maladjustment in school. The present study determined the relationships among anger dysregulation (a marker of emotion regulation), cortisol activity (a biomarker of stress), and peer-nominated aggression in typically developing children in their everyday classroom setting (N = 151, Mean age = 10.86, SD =.74). Salivary cortisol was collected at 09:15, 11:45, and 14:45 hr across 4 consecutive days. Children provided self-reports of anger regulation; peers reported proactive and reactive aggressive behaviors. Hierarchical linear regression analyses, followed by a bootstrapping analysis identified basal afternoon cortisol as a significant mediator between anger regulation and peer-reported aggression. More dysregulated anger significantly predicted lower afternoon cortisol, which in turn predicted increased peer-reported aggression. These results align with previous research on links among hypocortisolism, emotional regulation, and behavior, and suggest a possible meditational pathway between emotion and behavior regulation via decreased afternoon cortisol levels.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".