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The evolving sociopolitical context of immersion education in Canada: some implications for program development<sup>1</sup>

2005· article· en· W1996585067 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

VenueInternational Journal of Applied Linguistics · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEthnic groupImmersion (mathematics)Bilingual educationPedagogySociologyMathematics educationPolitical sciencePsychologyAnthropology

Abstract

fetched live from OpenAlex

In 1997 Swain and Johnson defined immersion as one category within bilingual education, providing examples and discussion from multiple international perspectives. In this article, we review the core features of immersion program design identified by Swain and Johnson and discuss how current sociopolitical realities and new research on second language learning serve to update and refresh the discussion of these features. One feature identified by Swain and Johnson is that “the classroom culture is that of the local L1 community”. The dramatic increase in ethnic diversity in Canada's urban centres calls into question the notion of a monolithic culture in the school community. A second example concerns the use of the L1 in the classroom: while a central feature of immersion education is the use of the L2 as medium of instruction, new research suggests that allowing a judicious use of the L1 on the part of learners may be warranted. The article concludes with suggestions for building on multiple L1s in the immersion classroom.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.943
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.017
GPT teacher head0.286
Teacher spread0.269 · 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