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Record W4404612162 · doi:10.1590/1984-0411.84470

Entre a prescrição curricular e as práticas docentes: o currículo de Ciências Humanas da escola do Quebec e o seu ensino no primário

2024· article· pt· W4404612162 on OpenAlexaffabout
Guilherme Moerbeck, Anderson Araújo‐Oliveira

Bibliographic record

VenueEducar em Revista · 2024
Typearticle
Languagept
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

RESUMO Os debates em torno da concepção da disciplina História no Programme de Formation de l’École Québécoise (PFEQ) para o primeiro segmento do ensino fundamental (primaire) começaram muito antes de sua publicação em 2001 (Québec, 2006). Passados 20 anos, o que dizer da relação entre as concepções de história e do pensamento histórico veiculadas no PFEQ e aquelas expressas por professores do primário? Essa é a pergunta que anima nossa reflexão, que oferece uma análise comparativa a partir de fontes de diferentes naturezas. Utilizando-se de dados provenientes de entrevistas semidirigidas realizadas com 13 professores do ensino básico, relativas a uma atividade de ensino-aprendizagem planejada e implementada, este artigo tem como objetivo conhecer a articulação do pensamento histórico mobilizado pelos professores em suas aulas e, em que medida, ela é complementar ou divergente no que diz respeito às concepções de História veiculadas no PFEQ.

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)0.009
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 score0.934
Threshold uncertainty score0.475

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0080.007
Scholarly communication0.0070.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.062
GPT teacher head0.381
Teacher spread0.320 · 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
Published2024
Admission routes2
Has abstractyes

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