Response perseveration in adolescent boys with stable and unstable histories of physical aggression: the role of underlying processes
Bibliographic record
Abstract
BACKGROUND: It was unclear whether response perseveration and underlying processes, often related to antisocial externalizing disorders, were also related to histories of physical aggression. METHOD: Boys of age 13 years were selected on the basis of childhood histories of physical aggression: stable, unstable, and non-aggressive. Performance on a Card Playing Task provided a perseveration index. RESULTS: Physical aggression, regardless of history, predicted perseveration in adolescence. However, qualitative differences revealed that Neuroticism increased the risk for perseveration only in the unstable aggressive group relative to the other groups. Perseveration in the stable aggressive group maybe related to a more fundamental information-processing deficit. CONCLUSION: The identification of these processes has implications for developmental theories of physical aggression; they may help discriminate those children who show early physical aggression and who will remain aggressive from those who will only show occasional physical aggression during later childhood.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".