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Record W4412479846 · doi:10.12957/teias.2025.82832

Uma didática para o ensino da luta marajoara no ensino médio

2025· article· pt· W4412479846 on OpenAlexaff
Renan Santos Furtado, Carlos Afonso Ferreira dos Santos, Rogério Gonçalves de Freitas

Bibliographic record

VenueRevista TEIAS · 2025
Typearticle
Languagept
FieldSocial Sciences
TopicMartial Arts: Techniques, Psychology, and Education
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPhilosophyHumanities

Abstract

fetched live from OpenAlex

O presente trabalho discute aspectos didático-metodológicos para o ensino da luta marajoara no ensino médio a partir da apresentação de uma sequência pedagógica de quatro aulas desenvolvidas no ano de 2023, com cerca de 136 estudantes do 1º ano. Partindo da ideia de que o ensino médio deve aprofundar conhecimentos com base em reflexões conceituais interdisciplinares e vivência técnica aprimorada, tivemos como objetivo deste estudo apresentar e discutir uma experiência pedagógica com a luta marajoara realizada no Estado do Pará, no contexto de uma escola pública federal da capital Belém. A pergunta que norteou a construção e o desenvolvimento da experiência foi: como ensinar a luta marajoara no ensino médio? Por meio da experiência vivenciada, foi possível inferir que a luta marajoara, quando mediada pedagogicamente, apresenta um amplo potencial educativo, pois, em virtude do seu aspecto de novidade e pertencimento regional, possibilita que os estudantes compreendam dimensões de conhecimento fundamentais do campo das lutas corporais em geral, ao mesmo tempo em que conhecem alguns elementos constitutivos da identidade cultural marajoara.

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)0.004
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0060.006
Scholarly communication0.0090.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.065
GPT teacher head0.395
Teacher spread0.330 · 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 designQualitative
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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueRevista TEIASSame topicMartial Arts: Techniques, Psychology, and EducationFrench-language works237,207