Chansons traditionnelles et identité culturelle chez les Francophones du Détroit
Bibliographic record
Abstract
Cet article propose une réflexion sur l’évolution de la collecte de faits folkloriques traditionnels sur le terrain. L’auteur a enquêté pendant plus de dix ans sur l’ancien territoire de la colonie du Détroit, c’est-à-dire dans la région de Windsor, à l’extrême sud-ouest de l’Ontario. Étant donné qu’aucun chercheur ne s’était penché sur la tradition orale de cette communauté francophone, la plus ancienne en Ontario, l’auteur voulut d’abord imiter les pionniers de la discipline en collectant les vestiges de la chanson traditionnelle française « avant que tout ne disparaisse ». Mais, en considérant le contexte historique du peuplement de la région et en comparant les résultats d’une étude linguistique sur le même terrain, la collecte de chansons traditionnelles est devenue beaucoup plus qu’une fin en soi. L’article examine donc le rôle de la chanson traditionnelle comme marqueur d’identité culturelle.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".