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Record W3110676965 · doi:10.36941/jicd-2020-0013

The Impact of Cognitive Impairment in Children with Intellectual Disabilities

2020· article· en· W3110676965 on OpenAlexaboutno aff
Hazir Elshani, Eglantina Dervishi, Silva Ibrahımı, Altin Nika, Mimoza Maloku Kuqi

Bibliographic record

VenueJournal of International Cooperation and Development · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsnot available
Fundersnot available
KeywordsIntellectual disabilityPsychologyCognitionBorderline intellectual functioningRaven's Progressive MatricesIntelligence quotientMontreal Cognitive AssessmentDevelopmental psychologyExecutive functionsCognitive impairmentClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

The focus of the present study is to identify the most compromised aspects of cognitive impairment and how children with intellectual disabilities cope with them. A sample of 53 school aged children with intellectual disabilities (N = 24) female and (N = 29) male from 5 to 11 years old. Montreal Cognitive Assessment scale (MoCA) and Raven’s Standard Progressive Matrices (IQ) to children with intellectual disabilities were used for conducting research. Generally, children with intellectual disabilities experience high and moderate levels of cognitive impairments and a low IQ. There is a significant positive relationship between age and IQ among girls and boys. In addition to cognitive impairment, a positive relation between impaired cognitive function, a high level of global disability in children with intellectual disabilities and a poor executive and memory functions were associated with difficulties in daily life activities. IQ is also a significant index of cognitive impairment and how children interact with others. Cognitive impairment is a major cause of low adoption with the environment and a significant factor that affects rehabilitation outcomes. Yet, there have been a limited number of studies that have evaluated the psychometric MoCA in children with severe intellectual disabilities, but it is necessary to identify possible difficulties in children with ID related to cognitive functions in young patients with mild to moderate impairment.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.137
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.032
GPT teacher head0.338
Teacher spread0.306 · 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.

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

Citations6
Published2020
Admission routes1
Has abstractyes

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