Bibliographic record
Abstract
Durant sa carrière au Musée national (1911-1942), Marius Barbeau joua un rôle de mentor auprès des compositeurs et interprètes classiques afin de diffuser dans le milieu savant le répertoire folklorique qu’il avait enregistré et transcrit. S’inspirant des modèles proposés par le médiéviste Jean Beck et les interprétations d’Yvette Guilbert, il proposa des formules de concert visant à rejoindre l’élite intellectuelle et s’inséra dans le milieu des compositeurs classiques de son époque. À partir de 1939, l’engouement créé par le phénomène de La Bonne Chanson de l’abbé Charles-Émile Gadbois modifie la perception du folklore auprès du public. La diffusion de la collection originale du Musée quitte alors les salles de concert et passe désormais par le milieu universitaire où Barbeau entreprend à l’invitation de Luc Lacoursière, à partir de 1942, une seconde carrière au Centre des archives folklore de l’Université Laval.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.068 | 0.028 |
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".