Le projet de corpus Phonologie du créole et du français mauricien – protocole d’enquête
Bibliographic record
Abstract
Cet article a pour objectif de présenter un projet de recherche collaboratif : Phonologie du créole et du français mauricien. Démarré en 2023, ce projet a pour mission de combler l’absence d’une description systématique des systèmes phonologiques du créole et du français mauricien. Nous avons choisi de nous focaliser sur la description du système phonologique du créole mauricien, ce qui ne nous empêchera pas de faire des comparaisons avec celui du français mauricien, étant donné le contact permanent entre ces deux langues à Maurice, de même que d’analyser des phénomènes de contact (emprunts, alternances codiques, etc.). Cet article met l’accent sur le protocole d’enquête, notamment sur la liste de mots-cibles élicités essentiellement par des images. De plus, il présente les profils sociodémographiques des 20 premiers participants.
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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 | 0.026 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.057 | 0.013 |
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".