Bibliographic record
Abstract
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.
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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 | 0.000 | 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 | 0.010 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".