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Record W3209847045 · doi:10.1515/applirev-2020-0075

The cognitive-conceptual, planning-organizational, affective-social and linguistic-discursive affordances of translanguaging

2021· article· en· W3209847045 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

VenueApplied Linguistics Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTranslanguagingLinguisticsAffordanceSociocultural evolutionSociocultural perspectiveMultilingualismSecond-language acquisitionSociologyPerspective (graphical)PedagogyRepertoireMultilingual EducationPsychologyComputer science

Abstract

fetched live from OpenAlex

Abstract The translanguaging turn in language education offers a new perspective on multilingualism by positing that multilingual learners have one linguistic repertoire rather than two or more autonomous language systems (García, O. & L. Wei. 2014. Translanguaging: Language, bilingualism and education . Palgrave MacMillan). When learners engage in translanguaging, they draw on all the features from their repertoire in a flexible and integrated way (Otheguy, R., O. García & W Reid. 2015. Clarifying translanguaging and deconstructing named languages: A perspective from linguistics. Applied Linguistics Review 6(3). 281–307. DOI:10.1515/applirev-2015-0014). While much of the current literature on language teaching advocates teachers’ use of pedagogical translanguaging, less research has focused on the pedagogical affordances of student-led translanguaging, especially in contexts with dominant monolingual norms. This paper presents the results of a case study exploring the affordances of translanguaging in two multilingual Grade 5 English language classrooms in Malaysia where English-only policies and practices were enforced by the teachers, but where translanguaging was used agentively by learners during their peer-to-peer interactions. The primary data sources for this six-month-long study included 100 30–90 min-long video recordings of 55 learners working together in small groups on various collaborative language learning activities, and member-checking interviews with the learners. The study was grounded in sociocultural theory and translanguaging, and employed a methodology of sociocultural discourse analysis. The results of the analysis revealed that in both classrooms, learners resisted the English-only policies and practices by using translanguaging widely and strategically throughout their collaborative peer-to-peer interactions. The use of translanguaging fulfilled 100 important cognitive-conceptual, planning-organizational, affective-social and linguistic-discursive functions that supported their individual and collective learning. The results of this study provide us with a view of translanguaging as collaborative and agentive, socioculturally situated and culturally responsive, and a resource for learning as well as a process of learning. The study makes recommendations for a language learning pedagogy that creates opportunities for learners to move language policies from the ground up through their collaborative use of translanguaging.

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)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.961
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.062
GPT teacher head0.438
Teacher spread0.376 · 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