MétaCan
Menu
Back to cohort
Record W4283161039 · doi:10.35819/linguatec.v7.n1.5929

Mato Escritores do Sul: uma sequência didática para a produção do gênero artigo de opinião no Ensino Médio Técnico Integrado

2022· article· pt· W4283161039 on OpenAlexfundno aff
Andréia Dias de Souza

Bibliographic record

VenueLínguaTec · 2022
Typearticle
Languagept
FieldArts and Humanities
TopicLinguistics and Education Research
Canadian institutionsnot available
FundersYork UniversityU.S. Department of AgricultureNational Science Foundation
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

O objetivo deste artigo é apresentar uma sequência didática desenvolvida e validada para a produção do gênero textual artigo de opinião no contexto da Educação Profissional e Técnica. A elaboração desta sequência justifica-se pela necessidade de atendermos a solicitações específicas de nosso público no que se refere à produção desse gênero: estimular os discentes no processo de produção textual e elaborar atividades que foquem na prática de escrita e reescrita textual. Assumimos como aparato teórico os trabalhos do grupo de Pesquisa de Didática da Língua da Universidade de Genebra no que se refere ao procedimento sequência didática (SCHNEUWLY; DOLZ, 2004). Por meio da validação de nossa sequência, que ocorreu no fim de 2020, obtivemos dois textos de discentes publicados em um jornal de circulação estadual de Mato Grosso do Sul.

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)0.011
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: none
Teacher disagreement score0.019
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.005
Science and technology studies0.0040.012
Scholarly communication0.0070.006
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.002

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 head0.064
GPT teacher head0.321
Teacher spread0.257 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueLínguaTecSame topicLinguistics and Education ResearchFrench-language works237,207