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The learning of spoken French variation by immersion students from Toronto, Canada

2004· article· en· W1559228592 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

VenueJournal of Sociolinguistics · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsUniversity of AlbertaYork University
Fundersnot available
KeywordsMarkednessFrench immersionVariation (astronomy)PsychologyLinguisticsSpoken languageSociologyPedagogy

Abstract

fetched live from OpenAlex

This study on the learning of sociolinguistic variants by 41 adolescents from a French immersion program in Toronto, Canada, synthesizes the findings of our research on this topic. This article provides answers to the following questions. First, do the immersion students use the same range of sociolinguistic variants as do speakers of Quebec French, who are used in our research as a first language (L1) benchmark? Second, do they use variants with the same discursive frequency as do L1 speakers? Third, is their use of variants correlated with the same linguistic constraints observable in L1 speech? Finally, what are the independent variables influencing their learning of variants, for example: treatment of variants by immersion teachers and authors of French language arts materials used in immersion programs; interactions with L1 speakers; influence of the students’ L1(s); influence of intra‐systemic factors – markedness of variants; and influence of the students’ social characteristics – social standing, sex?

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.696
Threshold uncertainty score0.645

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 head0.022
GPT teacher head0.406
Teacher spread0.384 · 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