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

2021· article· es· W3162205496 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.825
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.012
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