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Record W2907837200

Influência das relações familiares no desenvolvimento da linguagem do estudante com surdez na Educação de Jovens de Adultos

2018· article· pt· W2907837200 on OpenAlexvenueno aff
Elifas Trindade de Paula, Maria Cândida Soares Del-Masso

Bibliographic record

VenueINFOR Information Systems and Operational Research · 2018
Typearticle
Languagept
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyArt
DOInot available

Abstract

fetched live from OpenAlex

Esta pesquisa teve o objetivo de investigar como o estudante surdo da Educacao de Jovens e Adultos (EJA) avalia o uso de Lingua Brasileira de Sinais - LIBRAS pelos membros de sua familia como suporte do seu processo de aprendizagem. Participaram da pesquisa cinco (5) estudantes com idade entre 21 e 60 anos que responderam questoes abertas sobre a comunicacao no contexto familiar e extrafamiliar. Os dados obtidos demonstram que o desconhecimento da lingua de sinais limita a comunicacao e, consequentemente, o desenvolvimento do estudante surdo. Constatou-se que a escola, ainda que de modo incipiente, oferece oportunidades aos familiares para a aprendizagem da lingua de sinais, o que ja pode ser considerado um efeito das politicas publicas implementadas a partir do reconhecimento legal da lingua de sinais como natural dos surdos, em 2002. Observou-se ainda que, apesar da baixa adesao aos projetos das familias envolvidas, notou-se o protagonismo dos surdos na busca de outros espacos para as trocas e comunicacoes, em especial nas escolas e nas igrejas. Considerando que todos os entrevistados nasceram antes do reconhecimento da LIBRAS como lingua natural dos surdos e da implementacao de um conjunto de politicas publicas, a pesquisa sugere estudos complementares para avaliar os efeitos dessas politicas e como elas contribuem para o desenvolvimento do estudante surdo.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.485
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0020.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.003

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 head0.088
GPT teacher head0.444
Teacher spread0.356 · 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.

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
Published2018
Admission routes1
Has abstractyes

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