Specialized and versatile antisocial behavioral profiles in preschoolers: Associations with persistent behavioral problems
Bibliographic record
Abstract
This study investigated specialized and versatile antisocial patterns in preschoolers and examined the link between these patterns and the risk of developing chronic antisocial behaviors throughout childhood. A total of 556 children (50.6% boys, 88% White) participated in this three-wave longitudinal study at 3-5, 6-8, and 10-12 years old. A latent transition analysis revealed that most preschoolers (89.5%) who adopt several subtypes of antisocial behaviors simultaneously exhibit stable and severe antisocial behaviors throughout childhood. In contrast, most preschoolers (60%) who favor one specific subtype of antisocial behaviors desist from such behaviors between preschool and preadolescence. Importantly, aggression accompanied by other subtypes of antisocial behaviors predicted chronicity better than aggression alone, casting doubt on the notion that aggression is the strongest predictor of chronicity.
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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 | 0.001 |
| 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".