Background, Offence Characteristics, and Criminal Outcomes of Aboriginal Youth Who Sexually Offend: A Closer Look at Aboriginal Youth Intervention Needs
Bibliographic record
Abstract
Canada's Aboriginal peoples face a number of social and health issues. Research shows that Aboriginal youths are over-represented in the criminal justice system and youth forensic psychiatric programmes. Within the literature on sex offending youth, there appears to be no published data available to inform clinicians working with adjudicated Aboriginal youth. Therefore, the present study examines the background, offence characteristics, and criminal outcomes of Aboriginal (n= 102) and non-Aboriginal (n=257) youths who engaged in sexual offending behaviour and were ordered to attend a sexual offender treatment programme in British Columbia between 1985 and 2004. Overall, Aboriginal youths were more likely than non-Aboriginal youths to have background histories of fetal alcohol spectrum disorders (FASD), substance abuse, childhood victimization, academic difficulties, and instability in the living environment. Both Aboriginal and non-Aboriginal youths had a tendency to target children under 12-years-old, females, and non-strangers. Aboriginal youths were more likely than non-Aboriginal youths to use substances at the time of their sexual index offence. Outcome data revealed that Aboriginal youths were more likely than their non-Aboriginal counterparts to recidivate sexually, violently, and non-violently during the 10-year follow-up period. Furthermore, the time between discharge and commission of all types of re-offences was significantly shorter for Aboriginal youths than for non-Aboriginal youths. Implications of these findings are discussed with regards to the needs of Aboriginal youth and intervention.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".