Risk profiles and serious antisocial behaviors of incarcerated children in care
Bibliographic record
Abstract
Children in care (CIC) are at a heightened risk of engaging in serious and violent offending. This has been explained in relation to cumulative risk, whereby CIC are more likely to be exposed to traditional criminogenic risk factors, in addition to those specific to placement in care (e.g. removal from parental custody, placement shifts among caregivers). Limited research has been conducted on CIC engaging in serious and violent offenses, and thus it remains unclear whether these youth are at an increased risk of engaging in antisocial behavior when compared to other young offenders who are also exposed to a multitude of risk factors. Using a sample of 417 male-incarcerated youth in British Columbia, CIC and non-CIC were compared across a range of risk factors and antisocial behaviors to ascertain whether CIC represent a distinct population with unique risks and needs compared to their non-CIC counterparts. Though several risk factors were observed at a high frequency among CIC participants, few significant differences were observed in bivariate or multivariate analyses.
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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".