Ti-Jean au pays des Madelinots : où l’infiniment petit rejoint l’infini1
Bibliographic record
Abstract
Résumant les conclusions d’un mémoire de maîtrise intitulé « Aspects du merveilleux dans les contes des Îles de la Madeleine » (cf.Rabaska, vol. 4, 2006, p. 212-213), cet article, en plus de donner un bref aperçu de l’historique de l’archipel madelinot, dresse un portrait général du corpus des contes madelinots. Il présente également un résumé de la vie et de la démarche de celui qui en a été le principal collecteur : le père Anselme Chiasson. Quelques caractéristiques du corpus sont aussi abordées, que ce soit au niveau des particularités linguistiques, formelles ou thématiques qui lui sont spécifiques. Enfin, un tableau regroupant et catégorisant tous les contes recueillis par le père Chiasson selon la méthode préconisée par les folkloristes Aarne et Thompson complète le portrait de ce corpus.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".