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Record W2799741343 · doi:10.1037/abn0000341

Working memory capacity in social anxiety disorder: Revisiting prior conclusions.

2018· article· en· W2799741343 on OpenAlexaff
Stephanie Waechter, David A. Moscovitch, Vanja Vidovic, Tatiana Bielak, Karen Rowa, Randi E. McCabe

Bibliographic record

VenueJournal of Abnormal Psychology · 2018
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsUniversity of WaterlooSt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsPsychologyWorking memorySocial anxietyAnxietyPsycINFOClinical psychologyDevelopmental psychologyCognitive psychologyCognitionPsychiatryMEDLINE

Abstract

fetched live from OpenAlex

In one of the few studies examining working memory processes in social anxiety disorder (SAD), Amir and Bomyea (2011) recruited participants with and without SAD to complete a working memory span task with neutral and social threat words. Those with SAD showed better working memory performance for social threat words compared to neutral words, suggesting an enhancement in processing efficiency for socially threatening information in SAD. The current study sought to replicate and extend these findings. In this study, 25 participants with a principal diagnosis of SAD, 24 anxious control (AC) participants with anxiety disorders other than SAD, and 27 healthy control (HC) participants with no anxiety disorder completed a working memory task with social threat, general threat, and neutral stimuli. The groups in the current study demonstrated similar working memory performance within each of the word type conditions, thus failing to replicate the principal findings of Amir and Bomyea (2011). Post hoc analyses revealed a significant association between higher levels of anxiety symptomatology and poorer overall WM performance. These results inform our understanding of working memory in the anxiety disorders and support the importance of replication in psychological research. (PsycINFO Database Record

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.070
GPT teacher head0.374
Teacher spread0.304 · 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

Citations18
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Abnormal PsychologySame topicAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesFrench-language works237,207