Parisot as Master Teacher—Festivals Master Classes, Competitions
Bibliographic record
Abstract
Master Classes, Festivals, Competitions From Banff to Beauvais and all around the world: Canada, Chile, England, Finland, France, Israel, Italy, Korea, Mexico, and others. “As a teacher, beyond his expertise, what Mr. Parisot passed on was his love of what he was doing, the sheer enjoyment, and it was very infectious. Above and beyond all else, you really had the sense that he cared about you.” Students from all over the world seek out Parisot as an extraordinary master teacher. During the eighties and beyond, Parisot became more and more involved with numerous festivals, master classes, and competitions, continuing his work around the globe, trying to give back the many opportunities that had been given to him. He was an honored guest at various conservatories, giving master classes and performing with cello ensemble. From Banff to Beauvais, France, to Jerusalem, to students in Shanghai, and the Great Mountains in Korea, he has sought to identify and solve problems of performance and interpretation and give the student the benefit of a fresh and experienced assessment of their playing. His approach is detailed, flexible, extremely well thought out and based on decades of experience, filled with musical information, and sometimes astonishing in understanding of the cello. A picture of Parisot as a teacher with superb skills, both musical and psychological, emerges from my interviews with some of those fortunate to have studied with him. Many recognize his ability to understand his students, to pinpoint problems, to offer solutions, and also to encourage the student to find his or her own solutions. He challenged them to find many ways of interpreting the same piece. His teaching was all the more valuable because of his experience as a performer. “I teach not just how to play the cello but how to be a performer. You have to communicate with the public. The cello is secondary. The cello does not exist when you are on stage. You are like a speaker, a great speaker.” (See Appendix Three for these interviews). The Parisots’ activities extended to humanitarian causes: in January 2000, Aldo and Elizabeth Parisot, Erick Friedman, and Kenneth Kuo went on a tour in Taiwan to raise money to aid recovery from a devastating earthquake in September of the previous year.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.007 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
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".