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Record W4365511730 · doi:10.54254/2753-7048/3/2022417

The Correlation Between Psychopathy and ASPD: Factors, Development and Treatment

2023· article· en· W4365511730 on OpenAlexaff
Fangyi Chen

Bibliographic record

VenueLecture Notes in Education Psychology and Public Media · 2023
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsPsychopathyAntisocial personality disorderPsychologyTraitPersonalityClinical psychologyDevelopmental psychologyPsychiatryPoison controlInjury preventionSocial psychologyMedicineEnvironmental health

Abstract

fetched live from OpenAlex

This review article attempts to find the relationship between psychopathy and ASPD and their symptoms, causes, continuity of development from childhood to adulthood, and treatments. The available study findings have not comprehensively covered the subject, especially how the behaviours in ASPD and psychopathy relate to violence and crime. Psychopathy has a close relationship with ASPD. People suffering from ASPD cannot easily co-exist with others due to amoral behaviour. On the other, Psychopathy differs from Psychosis in various ways because the former is a trait while the latter is a condition. The research also indicates that not all ASPD patients can test positive for psychopathy. In addition, criminals should not necessarily have psychopathic personality traits. The available studies have addressed psychopaths in adolescents and adulthood. The studies provided empirical evidence as researchers have conducted investigations using different samples and sampling techniques. For example, a study in 1999 involved 463 children alongside their parents. They observed the results when trying to link alcoholism to psychopathy.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.532
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.048
GPT teacher head0.350
Teacher spread0.302 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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