Bibliographic record
Abstract
Only two French-lexified creole languages possess de jure official status: Haitian (kreyòl aysisyen) in Haiti, and Seychellois (kreol Seselwa) in the Seychelles. This paper situates the past and contemporary sociolinguistics of Haitian and Seychellois in their respective homelands. The histories and politics of the two states are examined from their times as European colonies to their present-day as independent states. This will be followed by comparing the current state of the languages through three lenses: education, government, and popular discourse. The status of the creoles in each of those roles is discussed in relation to the other official languages of the states (French in both, along with English in the Seychelles.) The relationship between the creole languages and French is highlighted. I conclude with a discussion on the power of governmental support for creole languages generally, and potential lessons to be learned from the Haitian and Seychellois cases.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, 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".