« Le Lynx et le renard ». Un relais déroutant dans la transmission du conte populaire français en Ontario
Bibliographic record
Abstract
Son enquête sur « Le Lynx et le renard » amène Jean-Pierre Pichette, ethnologue de l’Université de Sudbury, à la démonstration de l’origine française d’un petit conte animalier recueilli chez les Sauteux du nord de l’Ontario, en dépit de son inculturation amérindienne. Par un curieux retour des choses, l’étudiant parti à la recherche de la culture de l’autre se retrouve plongé dans la sienne propre que le gros bon sens, nourri de préjugés – le mythe du « bon sauvage », dans sa version écologique contemporaine, joint au complexe du minoritaire –, l’empêche cependant de reconnaître. La privation de contact avec la tradition orale franco-canadienne rendrait ainsi, devant une simple présomption, l’identification impossible et, partant, l’abdication naturelle.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".