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Record W2774199625 · doi:10.4025/arqmudi.v21i3.40948

O JORNAL ESCOLAR COMO POSSIBILIDADE DE INTERDISCIPLINARIDADE NO ENSINO BÁSICO

2017· article· pt· W2774199625 on OpenAlexaff
I Sipec

Bibliographic record

VenueArquivos do Mudi · 2017
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsImpact
Fundersnot available
KeywordsHumanitiesArtPsychologySociology

Abstract

fetched live from OpenAlex

Este artigo tem como finalidade apresentar o jornal escolar como forma de envolver asdisciplinas de Ciências, Arte e Língua Portuguesa em uma perspectiva interdisciplinar e, assim,possibilitar um ensino menos fragmentado e mais contextualizado. Esse propósito se desdobraem outros, como incentivar os alunos à leitura e à produção de textos e proporcionar aos alunoso contato com diferentes ferramentas de aprendizagem, neste caso, o jornal escolar. Para issoserá utilizada a metodologia de revisão bibliográfica, buscando autores que apoiem a práticainterdisciplinar e o uso do jornal escolar. O objetivo do artigo é propor o jornal escolar comoum produto educacional que pode auxiliar no desenvolvimento de práticas interdisciplinaresentre as disciplinas já mencionadas. A elaboração e a produção de um jornal escolar como oponto de partida para um projeto pode impactar de forma positiva no aprendizado dos alunos.

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)0.005
metaresearch head score (Gemma)0.010
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: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0080.010
Scholarly communication0.0220.014
Open science0.0020.009
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0210.004

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 head0.060
GPT teacher head0.392
Teacher spread0.332 · 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
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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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