Continuing English language teacher education - a challenge?: uma entrevista com Vanderlei José Zacchi
Bibliographic record
Abstract
Vanderlei J. Zacchi is a Doctor in Linguistic Studies and English Literature from the University of Sao Paulo and is a professor of the Department of Letters in Foreign Languages and of the Graduate Program of Letters at the Federal University of Sergipe. He is an adjunct researcher at the Centre for Globalization and Cultural Studies of the University of Manitoba, Canada and vice-coordinator of GT Transculturality, Language and Education of ANPOLL. His areas of interest are English as hegemonic language, teacher education, new literacies and culture and identity. He has published in both national and international journals. Ana Antônia de Assis-Peterson
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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 | 0.011 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.010 | 0.018 |
| Insufficient payload (model declined to judge) | 0.005 | 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".