Exploring attitudes towards French, English, and code-switching in Manitoba (Canada)
Bibliographic record
Abstract
This study contributes to the understanding of attitudes towards monolingual and code-switched varieties by examining the perceptions of 95 bilinguals towards Manitoban French, Canadian English and code-switching in Manitoba, a Canadian province where French is a minority language with official federal status. By means of a matched-guise test, we explore French-English bilinguals’ social evaluations of the three linguistic varieties and examine how these social evaluations vary according to participant characteristics (i.e. age, gender, mother tongue, origin, and sociocultural identity). In our experiment, participants listened to a speaker using Manitoban French, Canadian English and code-switching and rated each guise on several solidarity and status traits. Results from the cumulative link mixed effects models reveal that French and English are rated similarly for status. Overall, both French and English elicit feelings of attachment, but a preference towards French emerges among participants born in Manitoba. Code-switching is rated lower than the monolingual varieties in most status and solidarity traits, which indicates that our participants implicitly value linguistic purism. However, results also show that participants born in Manitoba and those with French as their mother tongue ascribe covert prestige to code-switching.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".