Learning to Speak Everyday (Canadian) French
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article examines the sociolinguistic competence of French immersion students. We first present an overview of the range of variation found in L1 speech and make a distinction between vernacular, informal, formal, and hyper-formal variants. We then compare the use of these forms in the speech of Canadian francophones and Grade 9 and 12 students enrolled in a French immersion program. Our analysis shows that the immersion students' sociolinguistic competence is lacking in that they rarely or never use vernacular and informal variants and overuse forms that are formal or hyper-formal. In order to address this shortcoming, we propose a pedagogical methodology for improving students' sociolinguistic competence, concentrating in particular on the need to increase students' use of informal variants (e.g., ne deletion and /l/ deletion) and to decrease their use of hyper-formal ones (e.g., the verb habiter and subject pronoun nous).
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.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 it