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Record W3156210475 · doi:10.1111/cdev.13564

Temperamental Shyness, Frontal EEG Theta/Beta Ratio, and Social Anxiety in Children

2021· article· en· W3156210475 on OpenAlexafffund
Kristie L. Poole, Raha Hassan, Louis A. Schmidt

Bibliographic record

VenueChild Development · 2021
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsMcMaster University
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchAmerican Psychological Foundation
KeywordsShynessPsychologyAnticipation (artificial intelligence)TemperamentAnxietyElectroencephalographySocial anxietyNeurocognitiveDevelopmental psychologyStressorChild Behavior ChecklistPersonalityClinical psychologyCognitionPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Abstract The authors examined how children’s frontal electroencephalogram (EEG) theta/beta ratio—an index of neurocognitive control—changed from baseline to a social stressor, and whether these EEG changes moderated the relation between temperament and anxiety. Children (N = 152; Mage = 7.82 years, 52% male, 81% White) had their EEG recorded during a baseline and speech anticipation condition. Children’s frontal theta/beta ratio decreased from baseline to speech anticipation, and this baseline-to-task change moderated the relation between temperamental shyness and social anxiety. Temperamental shyness was related to higher state and trait social anxiety only among children with large baseline-to-task decreases in theta/beta ratio. Findings are consistent with theoretical models hypothesizing that temperamentally shy children with heightened neurocognitive control may be at greater risk for anxiety.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.047
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.010
GPT teacher head0.247
Teacher spread0.236 · 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

Citations23
Published2021
Admission routes2
Has abstractyes

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