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Dos saberes para ensinar aos saberes didatizados: uma análise da concepção de sequência didática segundo o isd e sua reconcepção na revista Nova Escola

2011· article· pt· W2042982137 on OpenAlexaff
Lucas Moreira dos Anjos‐Santos, Priscila A. F. Lanferdini, Vera Lúcia Lopes Cristóvão

Bibliographic record

VenueLinguagem em (Dis)curso · 2011
Typearticle
Languagept
FieldArts and Humanities
TopicLinguistics and Education Research
Canadian institutionsCanadian Linguistic Association
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Considerando a abrangência nacional de uma das maiores revistas especializadas em educação do Brasil e seu possível papel nas representações construídas por professores a partir dos conteúdos por ela veiculados, este artigo tem como objetivo analisar o conceito de sequência didática segundo o ISD e sua transposição didática pela revista Nova Escola. Para análise, partimos dos conceitos defendidos pela didática de línguas de Genebra da linha Interacionista Sociodiscursiva (ISD) (SCHNEUWLY; DOLZ, 2004) e sua (re)interpretação no quadro de didáticas de línguas estrangeiras no Brasil (CRISTOVÃO 2005, 2007, 2009; PETRECHE, 2008; BEATO-CANATO, 2009). Os resultados revelam divergências entre o conceito de SD defendido pelo ISD e as SDs publicadas pela Revista.

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)0.022
metaresearch head score (Gemma)0.064
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.064
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.013
Science and technology studies0.0070.018
Scholarly communication0.0150.013
Open science0.0020.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.153
GPT teacher head0.348
Teacher spread0.195 · 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

Citations2
Published2011
Admission routes1
Has abstractyes

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