Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The current investigation is a meta-analysis of the predictive accuracy of three well-known forensic instruments used to appraise risk with young offenders: youth adaptations of the Level of Service Inventory and Psychopathy Checklist and the Structured Assessment of Violence Risk for Youth. Through several avenues, 49 potentially suitable published and unpublished studies (across 44 samples representing 8,746 youth) were identified and evaluated for inclusion. Predictive accuracy for general, nonviolent, violent, and sexual recidivism was examined for the three sets of measures. Mean weighted correlations for each of the three measures were significant in the prediction of general, nonviolent, and violent recidivism, with no single instrument demonstrating superior prediction. Separate analyses of specific young offender groups further supported the predictive accuracy of youth adaptations of the Level of Service Inventory among male, female, Aboriginal, and non-Aboriginal youth. Implications regarding the utility of young offender risk measures for enhancing clinical service provision with youth clientele are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 it