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Record W2009438420 · doi:10.4000/dse.701

Intégrer les étudiants anglophones dans le cadre d’un programme d’immersion universitaire au Canada

2014· article· fr· W2009438420 on OpenAlexaboutno aff
Jérémie Séror, Sylvie A. Lamoureux

Bibliographic record

VenueLes dossiers des sciences de l éducation · 2014
Typearticle
Languagefr
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyFrench immersionPolitical scienceArtPedagogy

Abstract

fetched live from OpenAlex

Le régime d’immersion en français (RIF) de l’université d’Ottawa au Canada offre une expérience unique de socialisation linguistique à de jeunes francophiles désirant poursuivre leurs études universitaires en langue seconde. Cet article retrace brièvement les origines de ce programme créé en 2008, ainsi que les défis associés au positionnement des apprenants anglophones au sein de la classe d’immersion universitaire. Une analyse de l’expérience vécue par ces étudiants lors de leurs trajectoires universitaires souligne les tensions et le questionnement pour les établissements, les instructeurs et les étudiants que sous-tend la mise en œuvre d’une approche par immersion en milieu universitaire canadien.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.003
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.262
Teacher spread0.211 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2014
Admission routes1
Has abstractyes

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