Modelo didático do gênero artigo científico: um contributo para o ensino do Português como Língua Adicional
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.004 | 0.017 |
| Scholarly communication | 0.014 | 0.015 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".