MétaCan
Menu
Back to cohort
Record W3186433198 · doi:10.51891/rease.v7i6.1507

DESENVOLVIMENTO MOTOR NA EDUCAÇÃO INFANTIL ATRAVÉS DA LUDICIDADE

2021· article· pt· W3186433198 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.001
metaresearch head score (Gemma)0.003
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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.004
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.002

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