MétaCan
Menu
Back to cohort
Record W4386910699 · doi:10.1080/13546805.2023.2259021

Contrasting social knowledge and theory of mind patterns in adults with personality disorders, schizophrenia spectrum disorders, and healthy controls

2023· article· en· W4386910699 on OpenAlexafffund
Mireille Lampron, Claudia Savard, Allyson Bernier, Maude Payant, Stéphane Sabourin, Amélie M. Achim

Bibliographic record

VenueCognitive Neuropsychiatry · 2023
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsUniversité du Québec à MontréalUniversité Laval
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyTheory of mindSchizophrenia (object-oriented programming)Social cognitionCognitionSocial cognitive theoryPersonalityTest (biology)Clinical psychologyDevelopmental psychologyPsychiatryCognitive psychologySocial psychology

Abstract

fetched live from OpenAlex

INTRODUCTION: Personality disorders (PD) and schizophrenia spectrum disorders (SSD) are distinct conditions displaying common symptoms, like impairments in social cognition, that make them hard to distinguish, especially in severe cases. To date, few studies have compared theory of mind skills in these two disorders, and none have compared social knowledge skills. This study aims to compare the social cognitive abilities of patients with these conditions. METHOD: = 49) on the Social Knowledge Test and two measures of theory of mind: the Reading the Mind in the Eyes Test and the Combined Stories Test, which incorporates items from various widely used tests. RESULTS: While no significant group differences were found on the Social Knowledge Test, SSD patients performed lower than the HC group on both theory of mind tests. PD patients only had lower performance than the HC group on specific items from the Combined Stories Test. CONCLUSIONS: PD and SSD patients demonstrated distinctive patterns of social cognitive impairments, with items of greater complexity or with an affective orientation being the most discriminant for PD.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.291
Teacher spread0.277 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueCognitive NeuropsychiatrySame topicPersonality Disorders and PsychopathologyFrench-language works237,207