Bibliographic record
Abstract
ABSTRACTMain subject: ViolinResearch Supervisors: Kathryn Cok Martine van der LooTitle of Research: The Art of AuditioningResearch Question: What aspects should be considered in preparation for a successful violin audition?Summary of Results:An orchestral audition, and specifically to this paper, a violin audition, is possibly the least musically satisfying experience of one’s life. However, it is a necessary part of the path leading to a fulfilling life as an orchestral musician. The preparation for an audition certainly has specific aspects which need to be considered. This paper discusses these aspects, based in large part on my experiences as a Principal in The Hague Philharmonic and as a committee member at auditions for many years. As a violin and chamber music teacher as well as the teacher of the orchestral classes at the conservatoires in The Hague and Amsterdam, I have collected a wealth of experience training students to be successful at auditions. Besides the aspects of how to apply for an orchestral audition, which repertoire needs to be prepared, (including many orchestral excerpts which I have bowed and provided with fingerings myself), how to prepare effectively and what to expect on the actual audition day, there is a large section devoted to the research I have performed concerning mental and physical preparation. Developing mental skills to withstand the stress associated with auditions is an important part of audition preparation. Finally, I have researched, by means of a series of questions online and live and Skype interviews, how experts and candidates experience auditions. This has put me in contact with leaders of orchestras from around the world. How the two groups have responded to similar questions has put me in the position to draw some conclusions as to what committees expect at auditions and how this differs from the candidates’ viewpoints. In analyzing this research, and recognizing similarities in what I written from my own research and personal experience, I am able to draw some conclusions and make recommendations about how candidates could prepare better and be more successful at auditions. Biography:Janet Krause is Principal Second Violinist in The Hague Philharmonic and also a violin, chamber music and orchestral studies teacher at The Royal Conservatoire in The Hague. She is also teaching orchestral studies at the Conservatoire in Amsterdam. Born in Canada, she completed her Bachelor of Music in Performance at the University of Toronto, having studied with Lorand Fenyves. Moving to the Netherlands, she completed her solo-diploma at the Conservatory in Amsterdam, studying with Davina van Wely. She was a member of the Salzburger Solisten for many years and. primarius of the Dufy Quartet. Presently she is also Principal of the Solistes Européens in Luxembourg. keywords: audition, excerpts, violin, orchestra, committees, candidates, first, second, experts, preparation, Research by teachers of the Royal Conservatoire
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.034 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".