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Record W7008675693

The Cajun Traiteurs

2023· article· en· W7008675693 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Crossing (Liberty University) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyFaithNova scotiaAssimilation (phonology)Creole languageFaith healing
DOInot available

Abstract

fetched live from OpenAlex

Traiteurs are traditional folk medicine healers who are a part of the culture of the Cajuns of Louisiana. These people are believed to possess special healing powers given to them by God. They are a significant part of the lifestyle and traditional culture of the Cajuns. The Cajuns are the descendants of the Acadians, a group of French colonists who were forcibly removed from Nova Scotia and dispersed all over North America by the British in 1755. Though the Acadians were able to partially reassemble themselves in Louisiana, they still faced great adversity within the state. This project examines the manner in which Cajuns came to be in Louisiana, the folk healing traditions that they brought with them, and the assimilation that they faced once they arrived. The existing historiography regarding Cajuns has only briefly discussed the traditions, rituals, and practices of the faith healing traiteurs. This project incorporates primary sources from the Louisiana Center for Cajun and Creole studies into the larger historical narrative. This is one of the only exhaustive descriptions and analyses of the traiteur’s tradition within Cajun culture in Louisiana. By creating an analysis of the traiteur, this project is better able to examine the practical implications of assimilation within a small cultural group.

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 categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.972
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
Bibliometrics0.0000.002
Science and technology studies0.0510.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.282
Teacher spread0.260 · 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
GenreEmpirical

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
Published2023
Admission routes1
Has abstractyes

Explore more

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