Locating Language-Teacher Identities in the Settler-Colonial Universe
Bibliographic record
Abstract
The practice of English language teaching has long been an important part of socializing transnational migrants and international students into ongoing English-dominant settler-colonial projects in North America and beyond. The professional activities, knowledge, and identities of English language instructors are therefore central to the reproduction of the settler-colonial order. In this article, I investigate the relationship between language-teacher identities and settler-colonial discourses of raciolinguistic differentiation and hierarchy in Canada. Working in a discursive constructionist conceptual framework, I adopt occasioned semantics to analyze excerpts from research interviews with two ELT instructors in post-secondary and adult ESL contexts. I demonstrate how these instructors’ talk about students and languages performed language-teacher identities-in-discourse and argue that these performances reflected and contributed to reproduction of settler-colonial discourse patterns. I further suggest that settler colonialism constitutes for ELT practice in Canada a hermetic “universe” with its own internal logics and relations that must be examined and made explicit through reflection. Some pedagogical implications of this analysis include the need for ELT instructors as well as English-language teacher educators to develop an awareness of local settler-colonial histories, teach for truth and reconciliation, and embrace strategies for de-naturalizing the settler-colonial “universe” as they create spaces of possibility for decolonization to be carried out. One research implication is that language-teacher identity scholarship would be strengthened by embracing epistemological and methodological decolonization.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.025 | 0.046 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| 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".