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Record W2250226663 · doi:10.5539/elt.v9n2p192

World Englishes, Critical and Feminist Pedagogies Coalition in Pre-service Teacher Training

2016· article· en· W2250226663 on OpenAlexvenueno aff
María Amor Barros del Río

Bibliographic record

VenueEnglish Language Teaching · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsPedagogySociologyFeminist pedagogyInclusion (mineral)Identity (music)Resistance (ecology)World EnglishesCritical pedagogyPower (physics)Face (sociological concept)PsychologyFeminismGender studiesLinguisticsSocial scienceAestheticsArt

Abstract

fetched live from OpenAlex

<p>In an attempt to overcome the fragmentation of theoretical and practical post-structuralist strands applied to the teaching of EFL, this article explores how critical and feminist perspectives can inform the TESOL practice through the inclusion of the voices and experiences of those who have been excluded from dominant discourses according to the World Englishes classification. After exposure to basic readings on feminist and critical pedagogies, a group of pre-service teachers enrolled in the Master's degree in teaching at the University of Burgos in Spain, were asked to design teaching activities for the selected authentic materials. Malala Yousafzai's speech to the UN in 2013 was selected so that the pre-service teachers would face nonnative texts. Through the didactic exploitation of her discourse, gender, power, identity and violence issues were addressed. Results indicate that coalition of World Englishes, feminist, and critical pedagogies enhance resistance to dominant discourses, foster awareness in teaching practices and contribute to social transformation. Further scholarly reflection and classroom practices are suggested on the relationship between the use of English as a globalized language for training purposes and its relationship with the particular struggles of the oppressed.</p>

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.289
Teacher spread0.254 · 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 teacher head, not a consensus.

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

Citations4
Published2016
Admission routes1
Has abstractyes

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