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<scp>O</scp>ddity, Schizotypy/Dissociation, and Personality

2011· article· en· W1902199626 on OpenAlexaff
Michael C. Ashton, Kibeom Lee

Bibliographic record

VenueJournal of Personality · 2011
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsUniversity of CalgaryBrock University
Fundersnot available
KeywordsSchizotypyPsychologyPersonalityDissociation (chemistry)Openness to experienceOperationalizationSchizotypal personality disorderDevelopmental psychologySocial psychologyChemistryEpistemology

Abstract

fetched live from OpenAlex

The construct of Oddity was examined in relation to the dimensions of normal personality variation and a dimension of schizotypy and dissociation. In 2 studies involving samples of community adults (N = 409) and college students (N = 378), Oddity-as operationalized in terms of perceived strangeness or eccentricity-was found to be moderately related to a Schizotypy/Dissociation factor and also to factors of normal personality variation, particularly Openness to Experience. The modest loading of Oddity on the Schizotypy/Dissociation factor, along with the somewhat stronger projection of Oddity within the space of normal personality dimensions, indicates that the Schizotypy/Dissociation factor should not be interpreted as a dimension of Oddity. The interpretation of the Schizotypy/Dissociation factor is discussed, as are the implications of these results for proposed dimensional models of personality disorders.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.054
GPT teacher head0.319
Teacher spread0.265 · 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.

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

Citations49
Published2011
Admission routes1
Has abstractyes

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