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Adaptação da Bateria Montreal de Avaliação da Comunicação para o Português Europeu

2015· article· pt· W2280813785 on OpenAlexaffabout
Mônica de Souza Kerr, Karina Carlesso Pagliarin, Fabíola Schwengber Casarin, Ana Mineiro, Perrine Ferré, Yves Joanette, Róchele Paz Fonseca

Bibliographic record

VenueAudiology - Communication Research · 2015
Typearticle
Languagept
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Objetivo Realizar a adaptação neuropsicolinguística da Bateria Montreal de Avaliação da Comunicação - versão brasileira (Bateria MAC-BR) - à realidade sociocultural portuguesa – Bateria MAC versão Portugal (Bateria MAC-PT).Métodos O processo de adaptação envolveu seis etapas: 1) análise comparativa da Bateria MAC-BR com sua versão original canadense; 2) adaptação e desenvolvimento de novos estímulos por especialistas; 3) análise de juízes não especialistas; 4) análise de juízes especialistas; 5) estudo piloto 1 (n=10); 6) estudo piloto 2 (n=30) e concordância entre avaliadores.Resultados O cumprimento das etapas levou a mudanças importantes na Bateria MAC, que permitiram a adaptação adequada para realidade sociocultural e linguística portuguesa.Conclusão A bateria MAC-PT é uma ferramenta clínica útil para a avaliação da comunicação de pacientes com lesão neurológica.

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)0.006
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.251
Threshold uncertainty score0.499

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.449
GPT teacher head0.472
Teacher spread0.023 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations4
Published2015
Admission routes2
Has abstractyes

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