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Record W1975357100 · doi:10.5406/amerjpsyc.128.1.0031

The Relation of Alexithymic Traits to Affective Theory of Mind

2015· article· en· W1975357100 on OpenAlexaboutno aff
Lauren A. Demers, Nancy S. Koven

Bibliographic record

VenueThe American Journal of Psychology · 2015
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaPsychologyTheory of mindEmpathyToronto Alexithymia ScaleNeurotypicalCognitionInterpersonal Reactivity IndexDevelopmental psychologyConstruct (python library)Affect (linguistics)Cognitive psychologySocial cognitionAutism spectrum disorderSocial psychologyAutismPerspective-taking

Abstract

fetched live from OpenAlex

Little research has focused on the contributors to adult theory of mind (ToM) even though there is reason to suspect individual differences in performance in neurotypical samples. Alexithymia, a term that references an impaired ability to attend to and verbally label emotions via ongoing introspection, is a useful construct through which to explore how socially relevant dimensions of emotion processing enable ToM. As 1 study has explored alexithymia vis-à-vis cognitive ToM, this study examined the relationships between facets of alexithymia and affective ToM while controlling for the potential confounds of empathy, verbal ability, and negative affect. A nonclinical sample of adults (N = 86) completed the Toronto Alexithymia Scale, the Reading the Mind in the Eyes Test, the Mehrabian and Epstein Scale of Emotional Empathy, the Profile of Mood States, and the Wechsler Abbreviated Scale of Intelligence. Hierarchical regression analysis showed that externally oriented thinking contributed unique variance to affective ToM, confirming an inverse relationship between alexithymia and affective ToM but highlighting the need to parse alexithymia into discrete facets when exploring its relevance to social cognition.

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 score0.888
Threshold uncertainty score0.167

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.351
Teacher spread0.321 · 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

Citations73
Published2015
Admission routes1
Has abstractyes

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