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Record W2980446189

Examining the Risk for Sexual Violence Protocol (RSVP) and its Association with Recidivism Risk

2019· article· en· W2980446189 on OpenAlexaff
Justin Haack

Bibliographic record

VenueStudent Research Proceedings · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsMacEwan University
Fundersnot available
KeywordsRecidivismPsychologySex offenseClinical psychologySexual violenceAssociation (psychology)Human factors and ergonomicsInjury preventionPoison controlSocial psychologyPsychiatryComputer securitySexual abuseCriminologyMedical emergencyMedicineComputer science
DOInot available

Abstract

fetched live from OpenAlex

The present study serves to examine association between items from the Risk for Sexual Violence Protocol (RSVP) and general, violent, and sexual recidivism risk. Police-reported sexual assaults were reviewed and retroactively coded, and the resulting sample included 201 male sex-offenders. Given the sparseness of the available information from police files, a modified 5-item version of the RSVP was used and the items were summed. We found significant results for all three outcomes (i.e., charges for any new offense, any new violent offense, and any new sexually violent offense). We also examined the individual 5 items, and significant results were found across all three recidivism outcomes, with only one item demonstrating significance in general, violent, and sexually violent recidivism. Furthermore, items related to Sexual Violence History significantly predicted new sexually violent charges. The study validates only a portion of the measure, and caution should remain regarding overall utility. Further research is required in this area due to the lack of published data regarding the instrument’s predictive validity.   Faculty Mentor: Sandy Jung Department: Psychology

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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.439
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.136
GPT teacher head0.458
Teacher spread0.322 · 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.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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