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Estructura Factorial del Funcionamiento Neuropsicológico en la Discapacidad Intelectual Leve en Niños

2021· article· es· W3162205496 on OpenAlexaff
Jorge Emiro Restrepo, Mónica Gómez-Botero, David Molina-González, Tatiana Castañeda Quirama

Bibliographic record

VenueRevista Ecuatoriana de Neurologia · 2021
Typearticle
Languagees
FieldSocial Sciences
TopicEducational Outcomes and Influences
Canadian institutionsNatural Sciences and Engineering Research Council of Canada
Fundersnot available
KeywordsHumanitiesFactorial analysisPsychologyArtMathematicsStatistics

Abstract

fetched live from OpenAlex

Se realizó un análisis factorial exploratorio para establecer la estructura factorial del funcionamiento neuropsicológico en la discapacidad intelectual leve en niños. Fue un estudio cuantitativo, descriptivo y transversal. Se incluyeron 80 niños con diagnóstico de discapacidad intelectual leve. Se aplicó una extensa batería de pruebas neuropsicológicas. Se realizó un Análisis Factorial Exploratorio para identificar los factores principales. Los resultados mostraron que la discapacidad intelectual leve en niños tienen una estructura en la que las funciones neuropsicológicas asociadas con el funcionamiento ejecutivo explican un 56 % de la varianza y tienen una prioridad factorial sobre un 13 % que explican las variables asociadas con dos tests tradicionales para evaluar la inteligencia. Se analiza y discute cada factor desde la neuropsicología clínica y experimental. Los hallazgos del estudio tienen implicaciones teóricas y clínicas para el diagnóstico diferencial. Palabras clave: discapacidad intelectual leve, Funciones Ejecutivas, inteligencia, neuropsicología, Niños

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)0.008
metaresearch head score (Gemma)0.017
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 score0.008
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.012
GPT teacher head0.309
Teacher spread0.296 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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