St. Lucian Kwéyòl on St. Croix: How gender and education affect language choice and attitudes in a multilingual context
Bibliographic record
Abstract
Based on interviews conducted within a community of St. Lucian Creole (Kwéyòl) speakers on the island of St. Croix, U.S. Virgin Islands, the authors investigated the use of and attitudes towards Kwéyòl, English, Spanish, and Crucian Creole, the four most widely-spoken languages on St. Croix. The article examines the roles of two social variables, namely gender and education, in questions of language choice and attitudes in this bilingual creolophone community. Some of the more remarkable revelations of this study were found in the many apparently conflicting responses. On the one hand, we observed a general trend towards the loss of Kwéyòl, yet on the other, pride in the language is exceedingly high. We observed a strong tendency pointing towards a taboo against speaking Kwéyòl in public on St. Croix, while at the same time, a significant number proclaimed the right to speak Kwéyòl in public.
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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 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".