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Record W2009023742 · doi:10.1177/0093854807301559

Directions for Violence and Sexual Risk Assessment in Correctional Psychology

2007· article· en· W2009023742 on OpenAlexaff
Daryl G. Kroner, Jeremy F. Mills, Lorraine R. Reitzel, Edward Dow, Dean Aufderheide, Michael G. Railey

Bibliographic record

VenueCriminal Justice and Behavior · 2007
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsCarleton University
Fundersnot available
KeywordsRisk assessmentPsychologyHuman factors and ergonomicsPoison controlApplied psychologySuicide preventionSexual violenceRisk managementOccupational safety and healthInjury preventionRisk management toolsRisk analysis (engineering)CriminologyMedicineMedical emergencyComputer securityComputer scienceBusiness

Abstract

fetched live from OpenAlex

This review covers the current contributions to risk assessment. The fields of static and dynamic variables are covered for both violent and sexual offenders. The research on risk management strategies and how risk assessment is communicated to decision makers is also reviewed. Methodological considerations in risk-assessment research focus on incorporating time until failure, multiple failures, and severity of failure as outcomes. For each of the areas covered, future research directions are formulated.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0050.004
Science and technology studies0.0020.010
Scholarly communication0.0080.012
Open science0.0030.003
Research integrity0.0080.010
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.054
GPT teacher head0.419
Teacher spread0.364 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations20
Published2007
Admission routes1
Has abstractyes

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