The Roles of Affect Dysregulation and Deficient Affect in Youth Violence
Bibliographic record
Abstract
Children with high dysregulated affect experience a range of emotional and behavioral problems, including aggression, delinquency, and low levels of prosocial behavior. Alongside this research, the psychopathy literature suggests that abnormally low levels of affect and emotional reactivity are associated with aggression and violence. The current study builds on prior research in the fields of affect regulation and psychopathy by testing the effects of affect dysregulation and deficient affect in predicting aggression and antisociality in 179 high-risk youth. Using structural equation modeling, results suggest that affect dysregulation and deficient affect are separate risk factors for aggression, as both constructs contributed independently to aggression while showing marginal relations with one another. Features of deficient affect, but not dysregulation, were robust predictors of violent and nonviolent offending. We discuss the importance of recognizing that diverse risk factors may lead to similar outcomes and highlight the heterogeneity in risk factors underlying aggressive behaviors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".