The Hierarchization of French Varieties in an English-Dominant Context of Canada
Bibliographic record
Abstract
The following study focuses on learners of French in an English-dominant context and contributes to a better understanding of language hierarchization by investigating attitudes toward different varieties of French. It aims to identify a possible correlation between the evaluation of different varieties of French and the participants’ socio-demographic and linguistic backgrounds and examines how learners of French express their preferences regarding French varieties. One hundred and fifty-six learners of French participated in the online experiment, 17 of whom participated in a follow-up interview. The quantitative analyses of the online experiment revealed that participants who lived in more than one country gave higher scores to all accents, and that participants who had studied French longer tended to hold more favourable attitudes toward European French. The qualitative analysis of the follow-up interviews indicate that participants expressed a preference for learning and speaking European French compared to other varieties. These results point to the importance of exposing French learners to as many varieties, both local and international, as possible.
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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 | 0.001 |
| 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".