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Orientação espacial em adultos com deficiência visual: efeitos de um treinamento de navegação

2004· article· pt· W2163081264 on OpenAlexaff
Eliane Mauerberg-deCastro, Adriana Inês de Paula, Carolina Paioli Tavares, Renato Moraes

Bibliographic record

VenuePsicologia Reflexão e Crítica · 2004
Typearticle
Languagept
FieldEngineering
TopicSpatial Cognition and Navigation
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsHumanitiesPhysicsPsychologyArt

Abstract

fetched live from OpenAlex

O objetivo deste estudo foi demonstrar se um programa de navegação pode ajudar indivíduos com deficiência visual a melhorar a acurácia na orientação dinâmica. Nove participantes com deficiência visual retornaram a um ponto de partida após percorrer rotas em linha reta e triangular. Pré e pós-avaliações foram feitas entre um período de 4 meses, durante o qual o treinamento com navegação foi realizado. Entre pré e pós-teste, erros relativos de desvios angulares (ERDA) foram diferentes apenas na tarefa em linha reta. O valor de ERDA foi maior na tarefa em linha reta possivelmente por causa da magnitude do giro inicial antes de retornar ao ponto de partida (i.e., 180º) em contraste com a tarefa triângulo (i.e., 45º). Conclui-se que, em tarefas de orientação, os erros no desvio angular dependem da amplitude do giro inicial ao retornar para o ponto de partida. Ainda, a acurácia na manutenção da direção é influenciada por um treinamento específico com navegação.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0040.001

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 head0.021
GPT teacher head0.305
Teacher spread0.284 · 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 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

Citations11
Published2004
Admission routes1
Has abstractyes

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