Langues parlées au sein du ménage et assimilation linguistique au Bénin
Bibliographic record
Abstract
Par comparaison de l’appartenance ethnique et la principale langue parlée au sein du ménage tel que déclarée au recensement de la population de 2013, cet article examine l’assimilation linguistique au Bénin. Son taux est estimé à 7 % dans le pays. Phénomène quasi urbain, il affecte tous les groupes ethniques à l’extérieur de leurs aires d’implantation, mais plus souvent les personnes non apparentées au chef de ménage, soupçonnant le rôle des migrations. Le fon, qui assimile systématiquement l’adja et le yoruba en recul est la véritable langue en expansion. Le dendi assimile également les langues nationales du Nord-Bénin, avec une légère expansion. Mais si l’assimilation linguistique s’accomplit vers le fon ou le dendi, elle l’est sûrement aussi vers le français ; c’est la première langue d’assimilation des personnes non apparentées au chef dans les ménages des agglomérations urbaines. Une analyse approfondie centrée sur l’âge et le sexe permettra plus d’éclairage sur les facteurs de ce phénomène.
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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 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".