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Record W2810108555 · doi:10.1080/10615806.2018.1483021

Theory of mind ability in high socially anxious individuals

2018· article· en· W2810108555 on OpenAlexaff
Ariella P. Lenton‐Brym, David A. Moscovitch, Vanja Vidovic, Elizabeth S. Nilsen, Ori Friedman

Bibliographic record

VenueAnxiety Stress & Coping · 2018
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsToronto Metropolitan UniversityUniversity of Waterloo
Fundersnot available
KeywordsPsychologySocial anxietyDistressTheory of mindAnxietyDevelopmental psychologyCognitionTask (project management)Cognitive psychologyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND/OBJECTIVES: Research has demonstrated an association between social anxiety and impaired Theory of Mind (ToM). We assess whether ToM deficits occur even at a subclinical level of social anxiety and whether group differences in ToM performance are consistent with interpretation bias. We also explore potential reasons as to why socially anxious individuals may perform differently on ToM tasks. METHODS/DESIGN: Undergraduate participants high (HSA; n = 78) and low (LSA; n = 35) in social anxiety completed a task of ToM decoding, the Reading the Mind in the Eyes (MIE), a task of ToM reasoning, the Movie for the Assessment of Social Cognition (MASC), and a post-task questionnaire about their experience completing the MASC. RESULTS: HSAs performed marginally worse than LSAs on the MIE on neutrally valenced trials, and their pattern of errors may be consistent with a negative interpretation bias. HSAs and LSAs did not differ overall in performance on the MASC, though HSAs reported experiencing more confusion and distress than LSAs during the task, and this distress was associated with more MASC errors for HSA participants only. These results provide insight into the nature of ToM ability in socially anxious individuals and highlight important avenues for future research.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0000.000
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 head0.034
GPT teacher head0.342
Teacher spread0.309 · 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

Citations37
Published2018
Admission routes1
Has abstractyes

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