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Record W2015627625 · doi:10.1080/10640260290081830

Personality Characteristics and Intention to Self-Harm: A Study of Eating Disordered Patients

2002· article· en· W2015627625 on OpenAlexaff
Caroline Davis, Kristina H. Karvinen

Bibliographic record

VenueEating Disorders · 2002
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsYork University
Fundersnot available
KeywordsImpulsivityPsychologyHarmAddictionPersonalityHarm avoidanceImpulse (physics)Eating disordersCompulsive behaviorClinical psychologyPsychiatryBig Five personality traitsSocial psychology

Abstract

fetched live from OpenAlex

The purpose of this study was to examine certain psychological and behavioral differences between anorexic (AN) and bulimic (BN) patients (n = 78 and 75, respectively) who either had or had not reported an urge to self-harm. The debate concerning whether self-injurious behaviors are more appropriately viewed as obsessive-compulsive behaviors or more closely connected to impulse control disorders like alcohol and drug addiction gave rise to the questions examined in this study. We found no frequency differences between the two patient groups in intention to self-harm. We also found that obsessive-compulsive symptoms and addictive personality characteristics were greater in those with an urge to self-harm. These findings support the view that impulsivity and compulsivity are independent dimensions that can both co-exist in the same individual, and that both are more prominent in those with an intention to self-harm.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.295
Teacher spread0.271 · 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

Citations15
Published2002
Admission routes1
Has abstractyes

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