Bibliographic record
Abstract
While the commodification of English as a global language may give rise to varying degrees of political and economic benefits for language learners, a simultaneous “cost” of this return may be a continued perpetuation of various forms of hegemony. In this vein, this one-year case study investigated a Canadian post-secondary English as a Second Language (ESL) program that analyzed the interconnections between language and culture through a critical dialogic approach. Classroom observations, however, revealed that disjunctions existed between the pedagogy as it was conceptualized and the practices of the instructors teaching there and suggested that the “critical” discourses mediated within the language classrooms essentialized culture and, subsequently, the identities of the students. This paper presents the voices of students from Mainland China as they attempted to negotiate their local and global identities within the larger sociopolitical contexts of the English language, generally, and English language education, in particular. I argue that classroom discourses can (re)create subordinate student identities, thereby limiting their access not only to language-learning opportunities, but to other more powerful identities. This paper thus highlights how ESL pedagogies and practices might address and contest hegemonic discourses and concomitantly reimagine student identities in more emancipatory ways.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.021 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 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".