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Record W3186433198 · doi:10.51891/rease.v7i6.1507

DESENVOLVIMENTO MOTOR NA EDUCAÇÃO INFANTIL ATRAVÉS DA LUDICIDADE

2021· article· pt· W3186433198 on OpenAlexaff
Evanildes Chiminacio Delvalle, Leda Elaine Silveira Hortêncio Mesquita, Maria Aparecida dos Santos Oliveira, Patrícia Abigail Borges Amorim, Tânia Rosa Machado

Bibliographic record

VenueRevista Ibero-Americana de Humanidades, Ciências e Educação · 2021
Typearticle
Languagept
FieldSocial Sciences
TopicPhysical Education and Gymnastics
Canadian institutionsImpact
Fundersnot available
KeywordsHumanitiesPhilosophySciELOPsychologyPolitical scienceMEDLINE

Abstract

fetched live from OpenAlex

O presente estudo busca discutir sobre o desenvolvimento motor na educação infantil, apresentando como vertente e objetivo a ludicidade. Na Metodologia, foram utilizadas pesquisas bibliográficas conforme Lakatos & Marconi (2008), além de fonte de buscas virtuais como Scielo, Revistas Eletrônicas, além do Google Acadêmico. As aulas devem levar atrair os alunos, fazendo com que eles tenham gosto e o costume pela prática de alguma modalidade de exercício para o corpo. É através dos jogos lúdicos que os alunos aprendem e conhecem os fundamentos e as regras do esporte. Introduzindo a ludicidade se permite à criança desenvolver aspectos cognitivos, emocionais, sociais que promovem uma vivência diferenciada do seu cotidiano, aumentando suas experiências motoras. Através do recurso lúdico, é possível esse despertar no processo de aprendizagem e considerou-se esta uma etapa importante na obtenção de habilidades motoras para o desenvolvimento físico futuro em crianças.

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)0.002
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.002

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 head0.053
GPT teacher head0.353
Teacher spread0.299 · 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

Citations5
Published2021
Admission routes1
Has abstractyes

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Same venueRevista Ibero-Americana de Humanidades, Ciências e EducaçãoSame topicPhysical Education and GymnasticsFrench-language works237,207