Alternance de langues et conflit linguistique : analyse des alternances intralexicales produites par les bilingues français-kirundi
Bibliographic record
Abstract
Dans cette étude, nous mettons en relation les aspects formels des alternances kirundi-français produites par un groupe d’étudiants burundais et les caractéristiques du conflit linguistique. Nous constatons que, à l’instar de la plupart des élites africaines, le groupe observé vit un conflit linguistique qui s’incarne dans la configuration de ces alternances. Ainsi, dans les segments nominaux alternés, le français, langue socialement prestigieuse, fournit systématiquement le pivot (le radical) du lexème alterné, et le kirundi, langue dominée, n’en fournit que des éléments secondaires instables et souvent non pertinents. Orientée vers la description du fonctionnement diglossique, notre approche se démarque des études courantes qui privilégient l’étude des aspects purement linguistiques ou sociaux de l’alternance.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".