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Record W4390106948 · doi:10.1590/2317-6431-2023-2824pt

Perfil de atos comunicativos de crianças com transtorno do desenvolvimento de linguagem

2023· article· pt· W4390106948 on OpenAlexaff
Débora Maria Befi‐Lopes, João Vitor Ribeiro de Oliveira, Aparecido José Couto Soares

Bibliographic record

VenueAudiology - Communication Research · 2023
Typearticle
Languagept
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsCamosun College
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

RESUMO Objetivo Caracterizar os atos comunicativos de crianças com transtorno do desenvolvimento da linguagem, verificando a quantidade de atos comunicativos, atos comunicativos interativos e sua relação com a idade cronológica. Métodos Foram participantes 40 crianças de ambos os gêneros com diagnóstico de transtorno do desenvolvimento da linguagem com idades entre 3 anos e 2 meses e 7 anos e 11 meses. Todos os sujeitos foram avaliados com a Prova de Pragmática ABFW - Teste de Linguagem Infantil, em sua avaliação inicial. Especificamente para este estudo, focou-se na verificação da quantidade de atos comunicativos, atos comunicativos por minuto, atos comunicativos interativos e número de iniciativas comunicativas. Resultados Os dados indicaram que crianças com transtorno do desenvolvimento da linguagem apresentam alterações importantes em relação aos atos comunicativos e interações comunicativas e há correlação dessas variáveis com a idade cronológica. Conclusão Crianças com transtorno do desenvolvimento da linguagem apresentam diminuição no número de atos comunicativos, atos comunicativos interativos e interações comunicativas, quando comparadas aos valores de referência de crianças típicas, independentemente da idade.

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)0.013
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0040.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.004

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 head0.155
GPT teacher head0.483
Teacher spread0.328 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2023
Admission routes1
Has abstractyes

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