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Modelo didático do gênero artigo científico: um contributo para o ensino do Português como Língua Adicional

2019· article· en· W2963438406 on OpenAlexaff
Rute Rosa

Bibliographic record

VenueBELT – Brazilian English Language Teaching Journal · 2019
Typearticle
Languageen
FieldArts and Humanities
Topiclinguistics and terminology studies
Canadian institutionsCanadian Linguistic Association
Fundersnot available
KeywordsBrazilian PortuguesePhilosophyLinguisticsPortuguese

Abstract

fetched live from OpenAlex

In this paper, we present a didactic model of the genre ‘scientific article’, which intends to guide the work of teachers of Portuguese as an Additional Language in the Portuguese academic context. To this end, we perform a descriptive analysis of ten texts that fall into the genre in question, followed by the didactic model, in which we systematize the social, contextual and compositional characteristics of the scientific article. Our approach is based on the theoretical framework of Sociodiscursive Interactionism (Bronckart, [1997]1999) and on the principles of Didactics of Genres (Dolz & Schneuwly, 2004). This work aims to highlight the importance of developing didatization devices that allow the appropriation of academic genres, such as the scientific article, and it also demonstrates that the use of genres in the teaching of Portuguese as Additional Language promotes the learning of this language as far as its different spheres of use are concerned.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.816
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.249
Teacher spread0.235 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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