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Record W7082149718 · doi:10.25675/3.022723

Le cri du bayou: le statut et la promotion de la langue Française et la musique Cadienne en Louisiane

2007· other· en· W7082149718 on OpenAlexaboutno aff

Bibliographic record

VenueColorado State University · 2007
Typeother
Languageen
FieldComputer Science
TopicImage Processing and 3D Reconstruction
Canadian institutionsnot available
Fundersnot available
KeywordsPrideFrenchPopularityImmigrationIdentity (music)Cultural identityPromotion (chess)

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.721
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.213
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

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