MétaCan
Menu
Back to cohort
Record W3146588446

Bilingualism and university immersion. Toward a realization of a political ideal

2021· article· en· W3146588446 on OpenAlexaboutno aff
Jérémie Séror, Alysse Weinberg

Bibliographic record

VenueLangage et societe · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic and Sociocultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNeuroscience of multilingualismFrench immersionFrenchAP French LanguageSociologyForeign languagePoliticsThe ImaginaryLinguisticsPedagogyPolitical sciencePsychologyLaw
DOInot available

Abstract

fetched live from OpenAlex

This paper reports on the case of a student enrolled in the French Immersion Studies (Regime d’immersion en francais, RIF) program at the University of Ottawa. It aims to shed light on this student’s representations and how these are linked to the stated objectives of Canada’s official bilingualism policies. Conducting semi-structured interviews with this student enabled us to produce a detailed picture of her personal experiences and her academic, social, and professional trajectory in order to determine the contribution of university immersion programs and the language policies advocated by the Canadian government, as well as the potential links between their effects. The results show the impact of a university immersion program on the student’s language skills, but they also highlight the identity building that results from the desire to study in French, to integrate into the French-speaking community, and to defend bilingualism as a value that enables the creation of a diverse linguistic imaginary, one that is open to the possibilities of a bilingual and multilingual Canada.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.864
Threshold uncertainty score0.761

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 head0.045
GPT teacher head0.334
Teacher spread0.289 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueLangage et societeSame topicLinguistic and Sociocultural StudiesFrench-language works237,207