Mouvance et évolution du champ de la recherche en éducation musicale au Québec
Bibliographic record
Abstract
La place de la musique dans l’éducation au Québec est un sujet lancinant. Les sentiments du public oscillent entre la peur de la voir disparaître de la grille matière et l’assurance qu’elle y restera d’une manière ou d’une autre. Où donc s’alimente cette ambivalence ? Peut-être dans le concept même de l’éducation musicale. Dans son article, Claude Dauphin s’efforce de cerner l’objet premier de l’éducation musicale, le distinguant de celui de la formation musicale. L’un s’allie à l’éducation, l’autre connote la préparation des musiciens professionnels. S’attachant à la première acception, l’auteur examine les formes du matériel pédagogique destiné à la musique scolaire. Plus avant, il s’arrête surtout à décrire l’activité des chercheurs dans le domaine de l’éducation musicale : les sujets des mémoires et des thèses dans les universités québécoises, les disciplines associées et le rayonnement des professeurs d’universités qui ont élu comme champ de recherche la musique et l’éducation.
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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 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".