STABLE-2007 Demonstrates Predictive and Incremental Validity in Assessing Risk-Relevant Propensities for Sexual Offending: A Meta-Analysis
Bibliographic record
Abstract
STABLE-2007 is a measure of risk-relevant propensities for adult males convicted of a sexual offense. This meta-analysis evaluated the ability of STABLE-2007 and its items to discriminate between recidivists and nonrecidivists, and the extent to which STABLE-2007 improves prediction over and above Static-99R. Based on 21 studies (12 unique samples, N = 6,955), we found that STABLE-2007 was significantly and incrementally related to sexual recidivism, violent (nonsexual) recidivism, violent (including sexual) recidivism, and any crime. Scores on STABLE-2007 items and the three STABLE-2000 attitude items also discriminated between individuals who sexually reoffended and those who did not sexually reoffend. These findings support the use of STABLE-2007 in applied risk assessment practice and the interpretation of STABLE-2007 items as indicators of treatment and supervision targets.
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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 | 0.017 | 0.051 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.026 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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".