Does social identity play a role in the L2 acquisition of French intonation? Preliminary data from Canadian French-as-a-second-language classroom learners
Bibliographic record
Abstract
This exploratory study seeks to examine the role of social identity in the acquisition of French intonation, specifically in the realization of the final pitch accent and overall shape of the pitch contour of non-final accentual phrases, among Canadian L2 learners of French. The primary objectives are to investigate the potential role of a social group-based accommodation effect in the acquisition of non-target-like speech and to identify any unique features in the French intonation contours of French immersion versus core French speakers. To such ends, two groups of six Anglophone learners of French having graduated from either a French immersion or a core French program completed a social identity questionnaire and a delayed sentence repetition task. The questionnaire results suggest that French immersion speakers have greater ingroup identification with their French program than their core French counterparts, particularly as concerns their emotional and psychological attachment to their program and peers. Due to the small sample size, differences in the French intonation contours of these learner groups were not significant and require further investigation. The results of this study expand our understanding of the role of sociological factors in the present instance social identity as a potential difference between L2 learner groups, and it is the first study to suggest a potential interaction between social identity and the production of linguistic features in an L2 context.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".