A pesquisa sobre o ensino e a aprendizagem de línguas no Canadá e algumas repercussões no Brasil.
Bibliographic record
Abstract
É grande o impacto da pesquisa canadense sobre a aprendizagem e o ensino de segunda língua e língua estrangeira nos principais centros de lingüística aplicada em todo o mundo. Neste artigo, destacamos a influência de alguns pesquisadores (Merril Swain, Sharon Lapkin e Hossein Nassaji, entre outros) que atuam no contexto canadense, cujo trabalho tem servido de suporte para a pesquisa sobre a língua estrangeira no contexto brasileiro. Aqui focalizamos fatores relativos aos conceitos de interação, diálogo colaborativo e crenças na sala de aula, dando especial atenção a alguns vínculos de pesquisa em duas universidades no sul do Brasil.Abstract: The impact of Canadian research on second/foreign language teaching and learning is well known in applied linguistics research centres worldwide. In this article we distinguish the research of scholars (Merrill Swain, Sharon Lapkin, and Hossein Nassaji, among others) who have been developing relevant studies in Canada, which we have adopted to support our investigation in the Brazilian setting. We will focus on issues related to the concepts of interaction, colaborative dialogue and beliefs with special attention to some research links in two universities in Southern Brazil.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.011 |
| Science and technology studies | 0.022 | 0.011 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.000 |
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.
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".