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Record W1496859955

Multilingualism in Canadian schools: Myths, realities and possibilities

2007· article· en· W1496859955 on OpenAlexaffabout
Patricia A. Duff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMultilingualismNeuroscience of multilingualismCreativityAgency (philosophy)SociologySociolinguisticsPedagogyMultimodalityPublic relationsPolitical scienceSocial sciencePsychologyLinguisticsSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Bilingualism and multiculturalism have for four decades been official ideolo-gies and policies in Canada but, as is often the case, the implementation and outcomes of such government policies nationally are less impressive than the rhetoric would suggest. This article reviews the political, theoretical and de-mographic contexts justifying support for the learning and use of additional languages in contemporary Canadian society and schools, and summarizes research demonstrating that bilingualism and multilingualism are indeed cog-nitively, socially, and linguistically advantageous for children (and adults), as well as for society. The five studies in this special issue are then pre-viewed with respect to the following themes that run across them: (1) the potential for bilingual synergies and transformations in language awareness activities and crosslinguistic knowledge construction; (2) the role of multi-literacies and multimodality in mediated learning; and (3) the interplay of positioning, identity, and agency in language learning by immigrant youth. The article concludes that more Canadian schools and educators must, like

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.430
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.056
GPT teacher head0.463
Teacher spread0.407 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations37
Published2007
Admission routes2
Has abstractyes

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