Le cri du bayou: le statut et la promotion de la langue Française et la musique Cadienne en Louisiane
Bibliographic record
Abstract
As one of the rare Francophone regions in North America, Louisiana has a unique culture and French dialect, spawning from Acadian immigrants who came to the Louisiana colony in the latter part of the 18th century. As the Cajun identity evolved, several strong influences have shaped and formed the Cajun French language; yet, it remains in danger due to damages from a 1921 law prohibiting the use of French in Louisiana and increased exposure to Anglo-American culture. However, many efforts to promote Cajun French have been employed since 1968 and the creation of the Council for the Development of French in Louisiana (CODOFIL), especially regarding the implementation of French-language immersion programs. In order to obtain their goal of preserving the Cajun French dialect, CODOFIL first realized the need to reestablish a sense of linguistic and cultural pride in the Cajun community. By hosting the World Acadian Congress in 1999, Louisiana Cajuns were able to reinforce important ties with other French-speaking communities in Canada and worldwide, thereby establishing pride in their French heritage. This new cultural identity, coupled with the immense popularity of Cajun music in Louisiana offers another method of strengthening the precarious future of Cajun French by presenting a new way to attract younger generations to the dialect. This work will explore the status of the French language and music in Louisiana today, focusing on the ways in which a strong cultural element could provide important tools for protecting and promoting the unique Cajun French dialect.
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 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 | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".