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Record W4220749360 · doi:10.1017/s0267190521000155

“Our country has gained independence, but we haven't”: Collaborative translanguaging to decolonize English language teaching

2022· article· en· W4220749360 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnual Review of Applied Linguistics · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTranslanguagingSociologyLinguisticsPedagogyMultilingualismLanguage education

Abstract

fetched live from OpenAlex

Abstract The colonial history of many English language teaching (ELT) contexts has shaped how the concept of language is understood, how language policies are constructed, and how language education is organized. Various aspects of ELT in countries that were colonized continue to promote the imperialism of English (Motha, 2014) through the naming (i.e., labeling of linguistic phenomena as distinct languages, dialects, and language varieties), separation and hierarchization of languages, and the dominance of monolingual policies and practices in the classroom. Translanguaging, a theory and pedagogy that challenges colonial understandings of language and monoglossic norms in language teaching, has the transformative potential to liberate language practices that have been rendered invisible by abyssal thinking in ELT (García et al., 2021). Translanguaging as a theory posits that multilingual learners do not possess two or more autonomous language systems but rather that they select and deploy linguistic features from a unitary linguistic repertoire (Vogel & García, 2017). Translanguaging as a pedagogy urges educators to leverage learners’ entire linguistic and semiotic repertoires to support their learning instead of requiring them to keep certain languages outside the classroom. However, in educational contexts that respond to socially and politically imposed boundaries between languages, there are ideological and systemic challenges to the enactment of translanguaging as a pedagogy. This paper discusses these challenges with reference to the Malaysian language education context and draws on data from a collaborative translanguaging pedagogy designed through teacher-researcher collaboration and implemented in two Malaysian elementary English classrooms to offer recommendations for how ELT can be decolonized.

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.

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)0.002
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.964
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.410
Teacher spread0.385 · 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