Conducting pedagogues: a dialogue with Maestro Jean-François Rivest, act II
Bibliographic record
Abstract
Understanding the didactic-pedagogical structures concerning the teaching-learning process of the conducting, are not summarized to the technical-gestural aspects, it permeates administrative, logistics and psych-pedagogical elements. To visualize this perspective in the light of labor reality, the narratives of academic, artistic and professional life are resorted through a cycle of interviews with national (Brazil) and international conductors. The professional to be interviewed is the Canadian conductor and professor Jean-François Rivest. Considered one of the most prominent violinist of his generation, Rivest studied at Julliard School with Ivan Galamian, and his musical path soon led him to a fruitful international career. As a Professor at the Université de Montréal, founded the institution's Symphony Orchestra. Giving voice to conductors as Rivest allows us to visualize new practical, conceptual and pedagogical perspectives, and directs us to look at the real needs of the field of conducting: to think and act beyond the gestural technique.
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 | 0.011 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.019 | 0.017 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.013 |
| Insufficient payload (model declined to judge) | 0.002 | 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".