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Record W2006804682 · doi:10.1348/147608304322874254

Personality disorder clusters and the Defence Style Questionnaire

2004· article· en· W2006804682 on OpenAlexaff
Birendra K. Sinha, David Watson

Bibliographic record

VenuePsychology and Psychotherapy Theory Research and Practice · 2004
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsMacEwan UniversityUniversity of Alberta
Fundersnot available
KeywordsPsychologyMillon Clinical Multiaxial InventoryAmbivalencePersonalityDiscriminant function analysisCluster (spacecraft)TypologyClinical psychologyPersonality Assessment InventoryPersonality disordersSocial psychologyStatistics

Abstract

fetched live from OpenAlex

This research examined the relative contribution of 20 defence mechanisms assessed by the 40-item Defence Style Questionnaire (DSQ-40) as discriminating variables in predicting membership in personality disorder (PD) clusters. The odd, dramatic and anxious clusters of DSM-III-R and the detached, dependent, independent and ambivalent groups of Millon were used as PD types. PDs were assessed by the Coolidge Axis II Inventory and the Millon Clinical Multiaxial Inventory-II in a non-clinical sample. Results of discriminant function analysis provide empirical support for the usefulness of both DSM and Millon classification schemes. The DSM's odd cluster and Millon's ambivalent types are classified most accurately with the CATI. The MCMI-II classifies most accurately the DSM's odd and dramatic, and Millon's independent and ambivalent, personality types.

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)0.012
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.006
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.063
GPT teacher head0.452
Teacher spread0.388 · 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 designTheoretical or conceptual
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
Published2004
Admission routes1
Has abstractyes

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