Qualité vocale et enseignement de la phonétique comme point de convergence épistémologique
Bibliographic record
Abstract
Quelle est la relation entre la qualité vocale, la pratique de l’enseignement et les sciences de la parole ? Notre réflexion épistémologique examine trois contextes d’enseignement : la phonétique dans un contexte académique, la prononciation en langue seconde (L2) et la phonétique clinique pour les cliniciens. Nous opposons les approches pédagogiques déclaratives-explicites et procédurales-implicites, et nous proposons des contributions innovantes à l’enseignement de la production des voix et parole en linguistique et en orthophonie en utilisant le Modèle du Larynx Articulateur (Esling et al. 2019), illustrant l’enrichissement de l’enseignement par la recherche et vice versa .
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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 | 0.023 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.003 | 0.045 |
| Scholarly communication | 0.018 | 0.026 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.007 |
| 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".