Validity of the youth assessment and screening instrument: A juvenile justice tool incorporating risks, needs, and strengths.
Bibliographic record
Abstract
The primary purpose of this study is to introduce the Youth Assessment and Screening Instrument (YASI; Orbis Partners, 2000), which is a comprehensive assessment protocol gauging a range of risks, needs, and strengths associated with criminal conduct in juvenile populations. Applied to a sample of 464 juvenile offenders bound by community supervision in Alberta, Canada, the Pre-Screen version of the instrument achieved a high level of accuracy in predicting both general and violent offenses over an 18-month follow-up period (Area Under the Curve [AUC] = .79). No significant differences in overall predictive validity were found across demographic groups, save for the relatively lower level of accuracy achieved in predicting general reoffending across the subsample of girls (AUC = .68). With regard to strengths, a buffering effect was identified whereby high-risk cases with higher levels of strength had superior outcomes compared to their lower strength counterparts. Results suggest that it is advisable to consider the quantitative inclusion of strength-based items in the assessment of juvenile risk.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".