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Record W2144351374 · doi:10.1177/0886260502017001001

The Effectiveness of the Self-Appraisal Questionnaire as an Offenders' Classification Measure

2002· article· en· W2144351374 on OpenAlexaff
Wagdy Loza, Amel Loza-Fanous

Bibliographic record

VenueJournal of Interpersonal Violence · 2002
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsCarleton UniversityQueen's University
Fundersnot available
KeywordsRecidivismPsychologyCriminal justiceApplied psychologySuicide preventionHuman factors and ergonomicsInjury preventionPoison controlClinical psychologyMeasure (data warehouse)Medical emergencyCriminologyMedicineComputer scienceData mining

Abstract

fetched live from OpenAlex

This study was conducted to investigate whether the Self-Appraisal Questionnaire (SAQ), which has been demonstrated to be reliable and valid for the prediction of violent and nonviolent recidivism, could also be effective as a classification tool for offenders. The results demonstrated that the SAQ could be a useful tool for classifying offenders to different levels of security, assigning to appropriate programs, and assisting with the prediction of offenders' institutional adjustment. These results have broadened the utility of the SAQ within the criminal justice system

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.703
Threshold uncertainty score0.530

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.320
Teacher spread0.295 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations22
Published2002
Admission routes1
Has abstractyes

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