Problématique linguistique en Haïti et réforme éducative : quelques constats
Bibliographic record
Abstract
Cet article traite de la situation du français en Haïti. Après un survol de l'aspect historique de la situation diglossique en Haïti, l'auteur expose les visées de la dernière réforme de l'éducation, à savoir accroître la scolarisation de base et l'utilisation du créole en classe. Une étude des données du ministère de l'Éducation nationale, de la Jeunesse et des Sports ne montre pas de gain éducatif depuis dix ans. La réforme, faute d'appuis pertinents, n'a pas atteint ses objectifs, notamment quantitatifs, même si elle a contribué au maintien d'une séquence de scolarisation normale. Chez les jeunes, la valorisation du créole n'est pas évidente malgré les acquis que la langue a enregistrés dans le domaine de la vie politique.
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.
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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".