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Record W7125824685 · doi:10.56346/ijsa.v8i1.573

PRÁTICAS PEDAGÓGICAS INTERDISCIPLINARES E SABERES LOCAIS NO ENSINO: O SEMIÁRIDO NORDESTINO NO CURRÍCULO ESCOLAR DO CEARÁ

2025· article· W7125824685 on OpenAlexaff
Ana Cristina Azevedo Lima, Francisco Elder De Castro Lima

Bibliographic record

VenueInternational Journal Semiarid · 2025
Typearticle
Language
FieldSocial Sciences
TopicRural and Ethnic Education
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsUniversity educationField (mathematics)Context (archaeology)

Abstract

fetched live from OpenAlex

Este artigo discute práticas pedagógicas interdisciplinares voltadas para o estudo do semiárido brasileiro, com ênfase na região Noroeste do Ceará, a partir da experiência desenvolvida na Escola Estadual de Ensino Médio Raimundo da Cunha Brito, em Graça-CE. Incluiu-se também pesquisa realizada com professores de Geografia e Biologia da Rede Estadual de Educação do Ceará, a fim de verificar a importância atribuída ao conteúdo e quais metodologias são mais adequadas para as aulas relacionadas ao semiárido. Para tanto, realizou-se o estudo e a análise de documentos de referência curricular, incluindo a BNCC (Base Nacional Comum Curricular) e o DCRC (Documento de Referência Curricular do Ceará). Nesse contexto, considera-se que, em muitos casos, o currículo das disciplinas se limita ao conteúdo pronto disponível nosli vros didáticos, o que acaba gerando uma lacuna no conhecimento local dos alunos. Portanto, é necessário repensar o currículo e as metodologias aplicadas ao ensino, colocando as visitas de campo como uma proposta crucial para a compreensão da realidade local.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.253
Threshold uncertainty score0.503

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0070.007
Scholarly communication0.0090.003
Open science0.0010.005
Research integrity0.0010.001
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 head0.015
GPT teacher head0.380
Teacher spread0.365 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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