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Record W2013047917 · doi:10.1080/14681360601162311

Critical pedagogy in English for Academic Purposes and the possibility for ‘tactics’ of resistance

2007· article· en· W2013047917 on OpenAlexaff
Eve Haque

Bibliographic record

VenuePedagogy Culture and Society · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsYork University
Fundersnot available
KeywordsMetaphorResistance (ecology)SociologyPedagogyRealmCritical pedagogyContext (archaeology)English for academic purposesEmpowermentField (mathematics)Engineering ethicsPolitical scienceLinguisticsEngineering

Abstract

fetched live from OpenAlex

This article traces the evolution of critical pedagogy and its central tenets, and how these have moved through language teaching into the realm of English for Academic Purposes (EAP) and are manifest in current debates in the field. Tracing these debates opens the discussion to the applicability of critical pedagogy to EAP and consideration of the critiques that have been directed at these teaching practices. These include critiques of the metaphor of voice, the notion of empowerment, the relational positioning of subjects within EAP critical pedagogy practices, among others. In the final part of the paper, the author considers the possibilities for a Foucauldian ‘counter‐practice’ or resistance that will be relevant to the current precarious and tenuous positions of both EAP students and teachers. Specifically, De Certeau’s observations about strategies and tactics provide the opening for conceptualizing a set of resistance practices for both EAP students and teachers who are vulnerable because of their location within the institutional context.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.031
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0120.076
Scholarly communication0.0160.014
Open science0.0020.008
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.029
GPT teacher head0.365
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations26
Published2007
Admission routes1
Has abstractyes

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