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Record W4284885929 · doi:10.3138/cmlr-2021-0078

Language and Racial Attitudes toward French Varieties in a Second Language Learning Context

2022· article· en· W4284885929 on OpenAlexaffvenueabout
Marie-Ève Bouchard

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVariety (cybernetics)RacializationSolidarityFrenchLinguisticsContext (archaeology)PsychologyWhite (mutation)Test (biology)Race (biology)Perspective (graphical)SociologyPreferenceGender studiesHistoryPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Language is a powerful social force that does more than merely communicate content. Language learners can show preference for certain varieties over others due to linguistic stereotyping and the awareness that accents can lead to an array of social and professional disadvantages. This study explores the hierarchization of different varieties of French within Canada and the interplay of variety and race. A modified matched-guise test was used to gather attitudinal data from 94 participants undertaking Frenchlanguage courses at the University of British Columbia in Vancouver. The goals of this study were to unpack the perceived hierarchization of five different varieties of French (from Moncton, Quebec City, Vancouver [a non-native speaker], Abidjan, and Paris) and to identify a possible correlation between the evaluation of varieties of French and the racialization of speakers. Participants evaluated speakers on four dimensions: status, solidarity, understandability, and general perspective. The findings revealed a clear hierarchy based on attitudes. For most statements, the participants evaluated speakers of Quebec and European French more favourably. Interestingly, they also evaluated the non-native speaker of French more positively than the speakers of African and Acadian French. However, for each variety of French, the voices associated with Black speakers were evaluated more positively than those associated with White speakers.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.269
Teacher spread0.252 · 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.

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

Citations6
Published2022
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Modern Language Review/ La Revue canadienne des langues vivantesSame topicLinguistic Variation and MorphologyFrench-language works237,207