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Record W3127187729

Risk Factors in Reports for People found Not Criminally Responsible: Has Clinical Practice Kept Up with Evidence-Based Practice?

2020· article· en· W3127187729 on OpenAlexaboutno aff
Jennifer Krentz

Bibliographic record

VenueSFU Undergraduate Research Symposium Journal · 2020
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyQuality (philosophy)Risk managementDispositionPsychiatrySocial psychologyBusiness
DOInot available

Abstract

fetched live from OpenAlex

If someone cannot appreciate the nature/quality of their actions or know they were wrong, the Canadian Criminal Code requires they are found Not Criminally Responsible on Account of Mental Disorder (NCRMD). In Canada, Review Boards (RBs) determine whether individuals found NCRMD receive an absolute discharge (released without conditions), conditional discharge (released with conditions), or custodial disposition (custody in hospital) based on their risk to public safety. To determine risk, RBs use reports written by the patient’s treatment team that should consider empirically-supported risk factors, including Historical-Clinical-Risk Management-20 items (Webster et al., 1997). Previous research concluded few HCR-20 items were mentioned in reports; however, report audience (RB vs. court) may have influenced findings. This study examines how often HCR-20 items were mentioned in reports sent to courts versus RBs for patients found NCRMD residing at a secure forensic facility. The necessity of maintaining public safety and the patient’s rights is discussed.

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)0.059
metaresearch head score (Gemma)0.360
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.941
Threshold uncertainty score0.313

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0590.360
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0020.003
Scholarly communication0.0050.006
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.266
GPT teacher head0.486
Teacher spread0.220 · 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.

Study designObservational
DomainMethods
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
Published2020
Admission routes1
Has abstractyes

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Same venueSFU Undergraduate Research Symposium JournalSame topicPsychopathy, Forensic Psychiatry, Sexual OffendingFrench-language works237,207