Symbolic annihilation: processes influencing English language policy and teaching practice
Bibliographic record
Abstract
Using a critical approach, I discuss the socioeconomic power impact of capitalism, neoliberalism, and globalization in the teaching of English as a foreign language (EFL) in Colombia, described as a symbolic annihilation process.I argue how these three constructs have influenced language policy-decisions making processes and classroom practices by providing documentation from an 8-month critical ethnographic study.This research was interested in understanding participants' experiences, as well as exposing the inequalities they faced in a marginalized context in which 'death' seems to be the norm.This article theorizes that a necropolitical process has been enacted not only on the human bodies of teachers and students but as a subtle source of political power that operates to eliminate, transform and dismantle the possibilities for teacher autonomy, employment possibilities and choice of languages to be learned.I conclude by describing how teachers counter this necropolitical power by responding to their school realities.
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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 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.051 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| 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".