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 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".