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Influências da Intervenção Psicomotora em uma Criança com Deficiência Auditiva e Hiperatividade

2020· article· pt· W1552176194 on OpenAlexaff
Janaína Becari Moreira, Elizângela Fernandes Ferreira, Dallila Tâmara Benfica, Thaynara Rodrigues da Silva, Eveline Torres Pereira

Bibliographic record

VenueREVISTA DA ASSOCIAÇÃO BRASILEIRA DE ATIVIDADE MOTORA ADAPTADA · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicAcademic Research in Diverse Fields
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSpeech therapyPsychologyHearing lossMedicineAudiologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

This article aimed to analyze the influence of psychomotor intervention in a child diagnosed with hearing disabilities (AD) and attention deficit disorder and hyperactivity disorder (ADHD). Therefore, we analyzed thirty-two reports on intervention sessions conducted at the Laboratory of Psychomotor Stimulation of the Federal University of Viosa. Each week one of the foundations were worked psychomotor: gross and fine motor coordination, laterality, gait, balance, body scheme, spatial sense and tactile perception. We observed a significant improvement in fundamentals in which there were many gaps, for example, body scheme and substantial improvement in the balance, gross motor coordination and laterality. It was concluded that the objectives of psychomotor intervention, were effective in motor development, social relationships and improving attention and concentration fulfilling the objectives of the study.

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.130
GPT teacher head0.361
Teacher spread0.232 · 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 designCase report
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

Citations1
Published2020
Admission routes1
Has abstractyes

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