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Record W2166102947 · doi:10.1002/tesq.111

2B or Not 2B Plurilingual? Navigating Languages Literacies, and Plurilingual Competence in Postsecondary Education in Canada

2013· article· en· W2166102947 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTESOL Quarterly · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMultilingualismCompetence (human resources)PedagogySociologyTranslanguagingLiteracyQualitative researchScripting languageLinguisticsPsychologyComputer scienceAnthropologySocial psychology

Abstract

fetched live from OpenAlex

In this article, the researchers employ the framework of plurilingualism and plurilingual competence in a field that has traditionally been dominated by reified conceptualizations of multilingualism that view bi/multilingualism as balanced and complete competence in discrete codes. They present data from a qualitative, longitudinal study of the interplays between the social, cultural, and linguistic in the multiple languages and literacy practices of transnational students at a university in Vancouver, Canada. Their findings question the role of academic English as the sole conduit to success for participants in higher education. They suggest that this relates back to how plurilingualism is defined and integrates the key idea that learning skills, multilingual literacies, (inter)cultural experiences, and different forms of knowledge are transferable and thus constitute assets and tools for better learning (Castellotti & Moore, 2010; Coste, Moore, & Zarate, 1997). Participants revealed a considerable degree of fluidity in their languages and literacy practices as well as shifts in perceptions and practice that change according to context. They proved to be highly plurilingual, reflexively and knowledgeably (Giddens, 1984) moving from contexts in which they mixed different languages and scripts freely to contexts in which they adhered to more normative senses of discrete monolingual practices in English and community languages.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.008
GPT teacher head0.238
Teacher spread0.231 · 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