Future Directions for Research on Early Intervention for Young Children at Risk for Social Anxiety
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.038 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.025 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".