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Record W2794217146 · doi:10.1080/15374416.2018.1426006

Future Directions for Research on Early Intervention for Young Children at Risk for Social Anxiety

2018· article· en· W2794217146 on OpenAlexaff
Andrea Chronis‐Tuscano, Christina M. Danko, Kenneth H. Rubin, Robert J. Coplan, Danielle R. Novick

Bibliographic record

VenueJournal of Clinical Child & Adolescent Psychology · 2018
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsCarleton University
FundersNational Institute of Mental Health
KeywordsShynessAnxietyPsychologySocial anxietyPsychological interventionIntervention (counseling)TemperamentDevelopmental psychologyClinical psychologyPsychiatryPersonalitySocial psychology

Abstract

fetched live from OpenAlex

Anxiety disorders are common among young children, with earlier onset typically associated with greater severity and persistence. A stable behaviorally inhibited (BI) temperament and subsequent shyness and social withdrawal (SW) place children at increased risk of developing anxiety disorders, particularly social anxiety. In this Future Directions article, we briefly review developmental and clinical research and theory that point to parenting and peer interactions as key moderators of both the stability of BI/SW and risk for later anxiety, and we describe existing interventions that address early BI/SW and/or anxiety disorders in young children. We recommend that future research on early intervention to disrupt the trajectory of anxiety in children at risk (a) be informed by both developmental science and clinical research, (b) incorporate multiple levels of analysis (including both individual and contextual factors), (c) examine mediators that move us closer to understanding how and why treatments work, (d) be developed with the end goal of dissemination, (e) examine moderators of outcome toward the goal of treatment efficiency, (f) consider transdiagnostic or modular approaches, (g) integrate technology, and (h) consider cultural norms regarding BI/SW/anxiety and parenting.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.124
GPT teacher head0.488
Teacher spread0.364 · 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 designNot applicable
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

Citations63
Published2018
Admission routes1
Has abstractyes

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