Bibliographic record
Abstract
Francis DubéLes articles publiés dans ce numéro exposent une diversité de problématiques et de méthodes de recherche, et proposent, chacun à leur façon, de nouvelles approches pour repenser, mieux comprendre ou actualiser l'apprentissage-enseignement de la formation auditive ou d'instruments de musique.D'abord, deux articles portent sur la formation auditive, un domaine encore très peu documenté scientifiquement, mais au coeur des préoccupations du LaRFADI.Premièrement, Justine Pomerleau Turcotte, Maria Teresa Moreno Sala et Francis Dubé ont étudié la place des technologies de l'information et des communications (tic) dans l'enseignement de la formation auditive en contexte extrascolaire au Québec.Leurs résultats démontrent que les praticiens actifs sur le terrain résistent toujours à intégrer des tic à leur pédagogie.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.011 |
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; both teacher heads agree on what is shown here.
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".