The Spousal Assault Risk Assessment (SARA) Guide: Reliability and validity in adult male offenders.
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
We evaluated the reliability and validity of judgments concerning risk for violence made using the Spousal Assault Risk Assessment Guide (SARA; Kropp, Hart, Webster, & Eaves, 1994, 1995, 1998). We analyzed SARA ratings in six samples of adult male offenders (total N = 2681). The distribution of ratings indicated that offenders were quite heterogeneous with respect to the presence of individual risk factors and to overall perceived risk. Structural analyses of the risk factors indicated moderate levels of internal consistency and item homogeneity. Interrater reliability was high for judgments concerning the presence of individual risk factors and for overall perceived risk. SARA ratings significantly discriminated between offenders with and without a history of spousal violence in one sample, and between recidivistic and nonrecidivistic spousal assaulters in another. Finally, SARA ratings showed good convergent and discriminant validity with respect to other measures related to risk for general and violent criminality.
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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 | 0.002 | 0.001 |
| 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