Field validity of Static-99R and STABLE-2007 with 4,433 men serving sentences for sexual offences in British Columbia: New findings and meta-analysis.
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
Many forensic assessment measures are developed and validated under research conditions but applied in the field, where professionals or paraprofessionals have varied training, unknown fidelity to administration procedures, and contextual pressures related to their institutions or legal system. Yet few studies examine the generalizability of psychometric properties of these scales as actually applied in field settings. This study examined 4,433 individuals assessed by probation officers on the Static-99R or STABLE-2007 sexual recidivism risk scales in British Columbia, Canada. Sexual, violent, and any recidivism were examined. Static-99R and STABLE-2007 had moderate accuracy in discriminating recidivists from non-recidivists, and both scales added incrementally in predicting all three outcomes (with Static-99R demonstrating higher accuracy). Organizing the items into constructs, sexual criminality, general criminality, and youthful stranger aggression incrementally predicted all three outcomes. For violent and any recidivism, the incremental effect of sexual criminality was in the negative direction (i.e., high sexual criminality was associated with relatively lower rates of violent and any recidivism). Calibration analyses indicated that recidivism rates were lower than what would be predicted by the norms for the scales. The current study also presented a meta-analysis of 15 field validity studies of Static-99R and 4 field validity studies of STABLE-2007. Results of the current study and meta-analysis support the field application of Static-99R and STABLE-2007, while emphasizing the importance of training and proper implementation. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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