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Record W3205656810

A Methodological Appraisal of the Application of the Hare Psychopathy Checklists in Forensic Setting

2021· article· en· W3205656810 on OpenAlexaboutno aff
Ibrahim Ignatius Felix Ruwan, Andrew Zamani

Bibliographic record

VenueKIU Journal of Social Sciences · 2021
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsnot available
Fundersnot available
KeywordsPsychopathyPsychologyRemorseGrandiosityEmpathyCriminologyCriminal justiceSocial psychologyPersonalityNarcissism
DOInot available

Abstract

fetched live from OpenAlex

Psychopathy is seen as a personality disorder defined by a cluster of interpersonal affective lifestyle and antisocial traits and behavior including grandiosity, egocentricity, deceptiveness, shallow emotion, lack of empathy or remorse, irresponsibility and impulsivity and tendency to violate social norms. The paper examined the use of the PCL-R in other climes. Investigation revealed that 90% of cases in the United States were decided using the PCL-R both at the state and federal courts. The PCL-R is also used in expert witnessing and testimony and also used to deal with charges of kidnapping, attempted murder, sexual assault, rape, robbery, long term offenders and dangerous offenders. Investigation also revealed that the PCL-R is used in sentence cases, parole hearing and death penalty sentencing in Canada. The paper therefore recommends that the Hare psychopathic checklist (PCL-R) should be validated and adapted in Nigeria and be used in the criminal justice system as a research instrument for research purposes, and a psycho diagnostic tool for assessment of psychopathy among forensic and clinical patients and measurement of deviant, irresponsible and impulsive behavior among new entrant into the Nigerian police force during selection processes. Keywords: Hare Psychopathy, Checklist, Forensic Setting, Criminal, Nigeria.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.356

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.114
GPT teacher head0.439
Teacher spread0.325 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueKIU Journal of Social SciencesSame topicPsychopathy, Forensic Psychiatry, Sexual OffendingFrench-language works237,207