Predictive validity of the Structured Assessment of Violence Risk in Youth (SAVRY) with Indigenous and Caucasian female and male adolescents on probation.
Bibliographic record
Abstract
Indigenous people and the courts have emphasized that it is important to examine whether scores from violence risk assessment tools are valid and appropriate for Indigenous youth. However, studies are scarce. Therefore, we examined the predictive validity of youth probation officers' Structured Assessment of Violence Risk in Youth (SAVRY) ratings for 744 Canadian youth, including 299 Indigenous youth (219 male, 80 female), and 445 Caucasian youth (357 male, 88 female) in a prospective field study. The SAVRY summary risk ratings and risk total scores significantly predicted violent and any reoffending for Indigenous female and male youth with medium effect sizes. Relatively few significant differences in the predictive validity emerged for Indigenous and Caucasian youth. However, Historical, Protective, and Risk Total scores predicted any recidivism better for Caucasian males than Indigenous males. Also, Indigenous youth scored significantly higher on all risk domains than Caucasian youth. Opposite to predictions, the rates of false positives were higher for Caucasian youth than for Indigenous youth. Based on the results, the SAVRY appears to be a reasonable tool to use for assessing risk in Indigenous youth. However, assessors should take steps to ensure that they use the SAVRY in a culturally appropriate manner, such as considering cultural factors in case formulations and treatment planning as the SAVRY does not ground assessments in an understanding of factors such as colonialism. In addition, future research should examine culturally salient risk factors (e.g., discrimination) and examine potential causes of higher risk scores in Indigenous youth, particularly the role of both past and present-day colonialism. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".