Do Risk and Protective Factors for Chronic Offending Vary Across Indigenous and White Youth Followed Prospectively Through Full Adulthood?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Although Indigenous youth are overrepresented in justice systems across North America, Australia, and New Zealand, explanations for this overrepresentation are principally theoretical as data at the individual level are lacking. Risk for offending among Indigenous youth may be overestimated because of their typically more negative socioeconomic outcomes tied to historical injustices perpetrated by governments across different nations. Data on 403 adolescent offenders followed from ages 12 to 29 were used to examine offending trajectories and associated risk and protective factors across Indigenous and White participants. A greater number of social adversities characterized Indigenous youth, yet they did not differ from White youth in their likelihood of assignment to the highest rate offending trajectory. Culturally sensitive assessment of risk for offending is recommended.
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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 | 0.002 | 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 it