MétaCan
Menu
Back to cohort
Record W2098394044 · doi:10.1080/13670050.2013.820686

The effect of sociolinguistic factors and English language proficiency on the development of French as a third language

2013· article· en· W2098394044 on OpenAlexafffundabout
Daniel Bérubé, Stefka H. Marinova-Todd

Bibliographic record

VenueInternational Journal of Bilingual Education and Bilingualism · 2013
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of British ColumbiaUniversité de Saint-Boniface
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsLanguage proficiencyMetalinguistic awarenessReading comprehensionLiteracyPsychologyLanguage assessmentReading (process)Neuroscience of multilingualismMultilingualismFirst languageLinguisticsMathematics educationPedagogy

Abstract

fetched live from OpenAlex

The classroom demographics in French immersion (FI) programs across Canada are changing: There are a growing number of multilingual students who are learning English as a second language (L2) and French as a third language (L3). However, little is known about the development of French language proficiency and reading skills of multilingual students in the FI programs. The association between sociolinguistic factors as well as metalinguistic awareness, language proficiency, and literacy skills in the L2 and language proficiency and literacy skills in the L3 was investigated in this study. The sample included 55 students with an average age of 11 years and six months, in early FI programs who were tested at the end of Grade 6. Multiple regression analyses revealed that oral language proficiency and reading comprehension in English predicted oral language proficiency and reading comprehension skills in French, controlling for amount of reading in French and morphological awareness in English. This study demonstrated that although the majority of instruction in FI programs is in French, multilingual students continue to develop age-appropriate oral language proficiency and reading skills in English and French.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.294
Threshold uncertainty score0.341

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 head0.010
GPT teacher head0.348
Teacher spread0.338 · 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

Citations13
Published2013
Admission routes3
Has abstractyes

Explore more

Same venueInternational Journal of Bilingual Education and BilingualismSame topicReading and Literacy DevelopmentFrench-language works237,207