The two “multis” and the multiliteracies pedagogy: “shaking hands” in the Brazilian English public education for teens
Bibliographic record
Abstract
English school textbooks have a long tradition in the Brazilian public sector of education. Most often they are the only pedagogical resources in an English classroom. English public textbooks are submitted to a National Program for evaluation and this educational policy has had positive impacts on these materials. This article analyzes one of the units of a textbook series for teens that was approved in 2020. Our analysis focuses on the two “multis”, the multiliteracies pedagogy and the active role today’s learners play in learning. We also highlight some alternatives for improvements and give some suggestions for English teachers. The documentary research method within the qualitative paradigm supports our analysis. Our results show that the unit follows the principles of the two “multis” and the cycle of knowledge processes although its pedagogical design can be improved. Our analysis also reviews that much has yet to be done if we consider the responsibility students have to assume when learning.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".