Consistency and Construct Validity of the Five-Level System for Risk Communication Using Static and Dynamic Tools: An Investigation Using the Static-99R and VRS-SO
Bibliographic record
Abstract
This study examined the Council of State Governments’ five-level system for risk communication, as applied to the Static-99R and Violence Risk Scale–Sexual Offense Version (VRS-SO). Aims of the system include increasing consistency in risk communication and linking risk categories to psychologically meaningful constructs. We investigated concordance between risk levels assigned by the instruments, and distributions of VRS-SO dynamic needs associated with Static-99R risk levels, among a multisite sample ( n = 1,404) of persons who have sexually offended. Concordant categorical risk ratings were assigned in just over a third of cases, suggesting that consistency remains a concern with the system, particularly when conceptually disparate tools are applied. Densities of criminogenic needs varied widely among persons assigned the same risk level by the Static-99R and diverged from the descriptions ascribed by the system. These findings can inform clinical assessments and further refinement of the system.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".