THE PRESENT TENSE[IONS] OF ENGLISH IN ONE LOCAL CONTEXT IN JAPAN
Bibliographic record
Abstract
Recent and not-so-recent critiques of teaching English as a second or other language (TESOL) have explored the relationship between English language teaching and colonialism. Consequently, native speaker and non-native speaker practitioners have started to question their pedagogies and to re/consider their roles in relation not only to minority languages and local knowledges but also to one another. Adding to this discussion, this article raises a different perspective on teaching English in a postcolonial present, asserting that English is, for some Indigenous peoples and local knowledge holders, a decolonizing agent that “trumps” immediate oppressor languages. To become agents or assistants in decolonizing in contexts such as this, the role for native English speaking (foreigner) language teachers and for many non-native English speaking language teachers (Japanese) may not be to continue developing more critical (and possibly more intrusive) pedagogies but rather to allow themselves to be used to the ends of the Other.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".