Convergent and Predictive Validity of the Jesness Inventory in a Sample of Juvenile Offenders
Bibliographic record
Abstract
The present study examined the convergent and predictive validity of the Jesness Inventories (JI) in a sample of 138 juvenile offenders, completed in the course of routine service delivery. JI profiles were compared with ratings on three standardized forensic clinical scales: the Youth Level of Service/Case Management Inventory, Psychopathy Checklist: Youth Version, and Violence Risk Scale-Youth Version. The JI Asocial Index and the Undersocialized Active and Group-Oriented Conformist Interpersonal Maturity Level (I-level) subtypes demonstrated the strongest pattern of convergence and most consistently predicted recidivism. The Asocial Index did not incrementally predict recidivism after controlling for scores on the standardized forensic clinical scales; however, meaningful differences among broad I-Level groups (I-3 and I-4) remained after controlling for risk. Risk-need-responsivity applications of the JI (i.e., in terms of treatment dosage, identifying treatment targets, and adaptation of services) are discussed within the context of a comprehensive forensic assessment framework to inform case formulation, service delivery, and decision making with justice involved youth.
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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 | 0.001 | 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 | 0.000 | 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 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".