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Record W1886992378

Childhood anxiety disorders. Approach to intervention.

2004· article· en· W1886992378 on OpenAlexaff
Katharina Manassis

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsSickKids Foundation
Fundersnot available
KeywordsAnxietyPsychological interventionIntervention (counseling)MedicinePsychiatryClinical psychologyReferralCognitionMEDLINEPsychologyFamily medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To present an approach to intervention in childhood anxiety disorders. SOURCES OF INFORMATION: This paper is based on selected findings from a MEDLINE search for recent literature on childhood anxiety disorders and on my experience as a child psychiatrist and researcher in a specialized anxiety disorders clinic. MAIN MESSAGE: Children with symptoms of high sympathetic arousal; persistent worries or intrusive thoughts; and extreme clinging, avoidance, or repetitive behaviours that interfere with daily functioning should be investigated for anxiety disorders. Counseling parents, relaxation techniques, and incentives for "brave" behaviour can often return children with mild disorders to age-appropriate functioning. Children who are severely impaired or fail to respond to these simple interventions might require medication or referral for cognitive-behavioural therapy. CONCLUSION: Family physicians can play an important role in recognizing and intervening early in childhood anxiety disorders.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0200.002

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.

Opus teacher head0.015
GPT teacher head0.235
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations7
Published2004
Admission routes1
Has abstractyes

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