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Record W2018560932 · doi:10.1080/13670050.2011.652591

Linguistic and metalinguistic outcomes of intense immersion education: how bilingual?

2012· article· en· W2018560932 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Bilingual Education and Bilingualism · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsBaycrest HospitalMcGill UniversityUniversity of TorontoYork University
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNatural Sciences and Engineering Research Council of Canada
KeywordsMetalinguistic awarenessLinguisticsNeuroscience of multilingualismBilingual educationPsychologyMetalinguisticsTeaching methodPedagogyVocabulary developmentPhilosophy

Abstract

fetched live from OpenAlex

Anglophone children in Grades 2 and 5 who attended an intensive French immersion program were examined for linguistic and metalinguistic ability in English and French. Measures of linguistic proficiency (vocabulary and grammatical knowledge) were consistently higher in English and remained so even after five years of immersion education in French. Measures of metalinguistic ability (letter fluency and ignoring semantic anomalies in sentence judgments) in French improved significantly over the two grades studied and closed the gap (letter fluency) or caught up with (sentence judgments) similar performance in English. This dissociation between developmental trajectories for linguistic and metalinguistic development is exactly the pattern expected for fully bilingual children, endorsing immersion education as a route to bilingualism.

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)0.004
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 score0.380
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.023
GPT teacher head0.315
Teacher spread0.292 · 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