History of foster care as a risk factor for recidivism in justice involved youth
Bibliographic record
Abstract
Although prior research suggests that history of foster care is linked to an increased risk for recidivism, few studies have examined this relationship. The current study examined the association between foster care and reoffending at a 3.94-year follow-up in a sample of Canadian juvenile offenders on probation (n = 156). Findings indicate that among youth with a history of foster care, number of placements and age of first placement did not predict any or violent recidivism. Hierarchical logistic regression models revealed that over and above gender, Aboriginal ethnicity, well-established risk factors and abuse, having a history of foster care significantly increased risk for any recidivism, but not for violent recidivism. Also, survival analysis revealed that youth with a history of foster care reoffend faster. Thus, although many believe that removing children from unsafe environments will reduce recidivism, this assumption appears incorrect. Implications for future research, policy, and practice are discussed.
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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 | 0.001 | 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".