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Record W3136639133 · doi:10.1080/14790718.2021.1898619

Translanguaging as an agentive pedagogy for multilingual learners: affordances and constraints

2021· article· en· W3136639133 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

VenueInternational Journal of Multilingualism · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsInstitute for Christian StudiesUniversity of Toronto
Fundersnot available
KeywordsTranslanguagingSociocultural evolutionSociocultural perspectiveSociologyMultilingualismPedagogyLinguisticsLanguage acquisitionAffordancePsychologyMathematics education

Abstract

fetched live from OpenAlex

Translanguaging offers a new perspective on language learning by affirming and leveraging the diverse language practices that make up learners’ unitary language repertoire as resources for their learning. Despite the potential pedagogical benefits of translanguaging, English-only policies are still prevalent in many language classrooms. Even when translanguaging is welcomed into the classroom, the conflicting attitudes of teachers, students and families pose ideological constraints on translanguaging which restrict learners from selecting and utilising features from their whole translanguaging repertoire. Guided by translanguaging and sociocultural theory, this study examines the tension between the affordances of student-led translanguaging in a Grade 5 Malaysian classroom with an English-only policy, and the constraints to learners’ use of translanguaging. This paper reports on the results of a sociocultural critical discourse analysis of learners’ peer interactions while engaged in collaborative learning, and interviews with 31 learners. The findings indicate that learners used translanguaging agentively to support one another’s language learning, build rapport, resolve conflict, assert their cultural identity, and draw on knowledge across languages. However, learners’ use of translanguaging was constrained to an extent by their teacher’s and peers’ language policies and practices, parental discourses about linguistic capital, and societal discourses on ethnicity, nationality, and marginalisation.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.536
Threshold uncertainty score0.572

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.081
GPT teacher head0.531
Teacher spread0.449 · 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