Promotive, Mixed, and Risk Effects of Individual Items Comprising the SAPROF Assessment Tool With Justice-Involved Youth
Bibliographic record
Abstract
The Structured Assessment of PROtective Factors for violence risk (SAPROF) is a widely used structured professional judgment (SPJ) tool. Its indices have predictive validity regarding desistance from future violence in adult correctional/forensic psychiatric populations. Although not intended for applied use with youth, SAPROF items lend themselves to an investigation of whether their operationalizations capture only strengths or also risks. With 229 justice-involved male adolescents followed for a fixed 3-year period, promotive, risk, and mixed effects were found. Most SAPROF items exerted a mixed effect, being associated with higher and lower likelihoods of violent and any reoffending at opposite ends of their trichotomous ratings. Summing items weighted using their promotive and risk odds ratios produced statistically significant improvements in predictive accuracy, improvements found also with a cross-validation sample of 171 justice-involved youth. The nature of strengths and implications for the development of SPJ tools and training in their use were discussed.
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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 | 0.027 | 0.077 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".