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Record W2793048782 · doi:10.1093/pch/pxx128

Screening for disruptive behaviour problems in preschool children in primary health care settings

2017· article· en· W2793048782 on OpenAlexaff
Alice Charach, Stacey A Bélanger, John D. McLennan, Mary K. Nixon

Bibliographic record

VenuePaediatrics & Child Health · 2017
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsReferralMental healthMedicinePsychological interventionDistressIntervention (counseling)Diagnostic Classification of Mental Health and Developmental Disorders of Infancy and Early ChildhoodSpecialtyPsychiatryClinical psychologyPsychologyPediatricsFamily medicinePrevalence of mental disorders

Abstract

fetched live from OpenAlex

Disruptive behaviour problems in preschool children are significant risk factors for, and potential components of, neurodevelopmental and mental health disorders. Some noncompliance, temper tantrums and aggression between 2 and 5 years of age are normal and transient. However, problematic levels of disruptive behaviour, specifically when accompanied by functional impairment and/or significant distress, should be identified because early intervention can improve outcome trajectories. This position statement provides an approach to early identification using clinical screening at periodic health examinations, followed by a systematic mental health examination that includes standardized measures. The practitioner should consider a range of environmental, developmental, family and parent-child relationship factors to evaluate the clinical significance of disruptive behaviours. Options within a management plan include regular monitoring, accompanied by health guidance and parenting advice, referral to parent behaviour training as a core evidence-based intervention, and referral to specialty care for preschool children with significant disruptive behaviours, developmental or mental health comorbidities, or who are not responding to first-line interventions.

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)0.001
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 score0.261
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.318
Teacher spread0.298 · 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

Citations25
Published2017
Admission routes1
Has abstractyes

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