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Record W2025747209 · doi:10.1177/0829573507301398

Patterns of Cognitive Functioning in a Clinic-Referred Sample of Preschool Children

2007· article· en· W2025747209 on OpenAlexaff
Nikhil S. Koushik, Cory D. Saunders, Byron P. Rourke

Bibliographic record

VenueCanadian Journal of School Psychology · 2007
Typearticle
Languageen
FieldPsychology
TopicCognitive Abilities and Testing
Canadian institutionsWindsor Regional HospitalUniversity of Windsor
Fundersnot available
KeywordsWechsler Preschool and Primary Scale of IntelligencePsychologyWechsler Adult Intelligence ScaleMedical diagnosisWechsler Intelligence Scale for ChildrenDevelopmental psychologyNonverbal communicationIntelligence quotientCognitionClinical psychologyCluster (spacecraft)PsychiatryMedicine

Abstract

fetched live from OpenAlex

This study examined patterns of performance on the Wechsler Preschool and Primary Scale of Intelligence—Revised (WPPSI-R) and the relationship of these patterns to diagnoses of behavioural problems. The sample consisted of 108 children between age 3 and 7 years inclusive who had been referred to a day-treatment program for a wide variety of psychological difficulties. All children had Full Scale IQ scores between 50 and 130. Two-stage cluster analysis identified five reliable subtypes. Three of these were differentiated primarily by level of performance (low, average, and high). The other two were differentiated primarily by pattern of performance: one characterized by nonverbal deficits and the other by verbal deficits. Findings also revealed that the children's previous diagnoses were relatively consistent with their patterns of performance on the WPPSI-R. The significance of these findings in relation to previous research in this area is discussed, and suggestions for future investigations are formulated.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.362
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2007
Admission routes1
Has abstractyes

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