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Record W4247125843 · doi:10.1002/9780470061589.fsa304

Psychopathy

2009· other· en· W4247125843 on OpenAlexaff
Stephen D. Hart

Bibliographic record

VenueWiley Encyclopedia of Forensic Science · 2009
Typeother
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPsychopathyAntisocial personality disorderPsychologyPersonalityClinical psychologyPsychiatryPersonality disordersPopulationPoison controlInjury preventionMedicineSocial psychologyEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Psychopathy is also known as psychopathic, antisocial, dissocial , and sociopathic personality disorder . It is a specific form of personality disorder that comprises a broad range of symptoms. The general course is characterized by onset in childhood and persistence into late adulthood. It can be diagnosed according to criteria in standard nosologies, although specialized psychometric procedures are often preferred by forensic mental health professionals. Using broad diagnostic criteria, estimates of lifetime prevalence in the United States were found to range from ∼1.5 to 3.5% in the general population and 50–75% in forensic populations; estimates based on more stringent diagnostic criteria are about one‐third of these rates. Psychopathy appears to be more prevalent in males, in younger generations, and in individualistic cultures; this may be due to symptom expression being facilitated by norms that promote strong individualism or, alternatively, to bias in the existing diagnostic criteria. Psychopathy is frequently comorbid with substance use disorders and some other personality disorders. The etiology of psychopathy is unknown. No reliably effective treatment for psychopathy has been identified. Psychopathy is associated with serious crime, including violence, and is often considered in psycholegal evaluations related to risk assessment.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.160
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.014
GPT teacher head0.301
Teacher spread0.287 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2009
Admission routes1
Has abstractyes

Explore more

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