The Spousal Assault Risk Assessment (SARA) Guide: Reliability and validity in adult male offenders.
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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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 | 0.008 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".