MétaCan
Menu
Back to cohort
Record W2792226240 · doi:10.1111/cdev.13060

Longitudinal Associations Among Child Maltreatment, Resting Frontal Electroencephalogram Asymmetry, and Adolescent Shyness

2018· article· en· W2792226240 on OpenAlexafffund
Ayelet Lahat, Alva Tang, Masako Tanaka, Ryan J. Van Lieshout, Harriet L. MacMillan, Louis A. Schmidt

Bibliographic record

VenueChild Development · 2018
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsMcMaster UniversityUniversity of Toronto
FundersCanadian Institutes of Health ResearchNational Alliance for Research on Schizophrenia and DepressionSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of CanadaWilliam T. Grant Foundation
KeywordsShynessPsychologyNeuroticismDevelopmental psychologyPsychopathologyPoison controlExtraversion and introversionVulnerability (computing)Social anxietyAnxietyChild abuseInjury preventionClinical psychologyPersonalityBig Five personality traitsPsychiatrySocial psychologyMedicine

Abstract

fetched live from OpenAlex

Child maltreatment is linked to distinct neurophysiological patterns and social-emotional vulnerability. Relations among maltreatment, relative resting frontal alpha asymmetry, shyness, and psychopathology were examined prospectively. Adolescent girls (age 14-16) who experienced child maltreatment (N = 55) were compared to nonmaltreated controls (N = 25), and returned for 6- and 12-month follow-ups. Among participants exhibiting relative right frontal asymmetry, maltreated adolescents reported higher shyness than controls at Time 1. Low-stable and high-stable shyness trajectories were observed for maltreated participants. Compared to low shy, participants in high-shy trajectory reported at Time 3: higher neuroticism and generalized anxiety; and lower extraversion if they also exhibited relative right frontal asymmetry. Thus, right frontal brain activity and shyness are involved in social-emotional vulnerability of adolescents who experienced child maltreatment.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
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 studies0.0010.000
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 head0.023
GPT teacher head0.284
Teacher spread0.262 · 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

Citations30
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueChild DevelopmentSame topicChild Abuse and TraumaFrench-language works237,207