Risk Assessment and Clinical Risk Management for Young Antisocial Children: The Forgotten Group
Bibliographic record
Abstract
Centre for Children Committing Offences (CCCO), at Child Development Institute (CDI) in Toronto, Canada, developed Early Assessment Risk Lists (EARL-20B for boys; EARL-21G for girls), for young children at-risk for future criminality. In this first EARL prospective longitudinal study, 573 boys and 294 girls who participated in SNAP®, a gender-specific evidencebased model for at-risk children (6-11 years), 8.2% of boys and 3.1% of girls had registered criminal offences at follow up (mean age 14.9 and 14.6 respectively). EARL Total, Family, Child, and Responsivity domain scores, including two gender-specific risk items and Overall Clinical Judgment predicted early onset of criminal activity. Findings suggest that gender-sensitive clinical risk assessment and management tools are important for effectively identifying and potentially reducing criminal outcomes.
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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 | 0.001 | 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 | 0.001 | 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".