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Record W4406734925 · doi:10.15402/esj.v11i1.70860

Représentations idéologiques d'une francophonie albertaine en mutation

2025· article· fr· W4406734925 on OpenAlexaffvenueabout
Fanny Macé

Bibliographic record

VenueEngaged Scholar Journal Community-Engaged Research Teaching and Learning · 2025
Typearticle
Languagefr
FieldArts and Humanities
TopicMedieval European Literature and History
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMutationBiologyGeneticsGene

Abstract

fetched live from OpenAlex

Les apprenant·e·s de français langue seconde (désormais FLS) sont souvent confronté·e·s aux idéologies associées au français dont l’une consiste en une vue homogène de la langue et de la culture francophone. Toutefois, la reconnaissance d’identités plurielles et multiples peut amener un changement au niveau des discours si nous acceptons les multiples variétés de français de personnes plurilingues, non seulement issues de familles immigrantes mais aussi de programmes d’immersion française. Dans cet article, à la lumière de la sociolinguistique pour le changement, nous examinons comment ces idéologies linguistiques influencent certains discours et pratiques d’étudiant·e·s en formation des maîtres ainsi que ceux de jeunes de la communauté d’expression française vivant en Alberta. Après avoir soumis nos données à une analyse de discours, nous constatons que la plupart des apprenant·e·s de FLS ne se perçoivent pas comme faisant partie intégrante de la francophonie. Toutefois, les discours sont en proie au changement et les personnes plurilingues semblent en mesure d’apporter leurs contributions à ces récits et à la façon dont on les déconstruit afin de (re)définir la francophonie canadienne : l’objectif visé étant de miser, à plus long terme, sur une inclusion accrue de tous les locuteurs et locutrices de français au sein de la francophonie mondiale.

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)0.703
metaresearch head score (Gemma)0.588
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.763
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.7030.588
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.5900.001
Scholarly communication0.0040.001
Open science0.0010.000
Research integrity0.0000.763
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 head0.067
GPT teacher head0.376
Teacher spread0.310 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

Explore more

Same venueEngaged Scholar Journal Community-Engaged Research Teaching and LearningSame topicMedieval European Literature and HistoryFrench-language works237,207