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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".