The Offending Trajectories of Youthful Aboriginal Offenders
Bibliographic record
Abstract
The current study examine the offending trajectories of Aboriginal youths under a probation sentence in Manitoba, Canada, and compared them to those of non-Aboriginal juvenile probationers. The results from growth-mixture analyses indicated that, for both sub-samples, a two-group latent trajectory model best represented the shape of the developmental progression in criminal behaviour from early adolescence to middle adulthood. While a small proportion of the offenders showed serious and persistent offending behaviour over their life-course, the majority of the juvenile probationers engaged in relatively less frequent and/or serious criminal activity over time. The size of the chronic high-offending trajectory group was slightly larger among the Aboriginal offenders (18.7%) than among the non-Aboriginal offenders (12.3%). Additional analyses revealed that the Aboriginal offenders were more likely to come from an impoverished background, characterized by an unstable familial environment, substance use, and negative peer associations. These criminogenic risk/needs contributed to their serious and persistent pattern of criminality. In contrast, accommodation problems predicted increased odds of membership in the chronic high group of the non-Aboriginal offenders. The article concludes with a discussion of potential implications and suggestions for future research.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".