Bibliographic record
Abstract
Name: Jacob GramitMain Subject: Early Music SingingResearch Supervisor: Kathryn CokTitle of Research: The Music of Johann Rudolph Ahle: Editorial and Performance Issues Surrounding the 1658 Neu-Gepflanzter Thüringischer LustgartenResearch Question: How can creating a critical-performance edition of the music of Johann Rudolph Ahle impact my performance of his music?Summary of Results: Having always been drawn to German Music of the seventeenth century, I found a collection of music from Johann Rudolph Ahle (1623-1673) that was largely unknown and unperformed. This enabled me to start from nothing when creating an edition and researching Ahle's life and music; meaning I could see what effect the process would have on my performance. By doing detailed research into a specific collection, looking at both his compositional style and his use of pre-existing texts and music, I discovered Ahle's seeming fascination with personal spirituality, leading to new ideas for the performance of his music. Biography: Originally from Edmonton Canada, Jacob Gramit is currently living in the Netherlands, pursuing a Master’s Degree in The Hague, studying with Pascal Bertin, Peter Kooij, Dorothee Mields, Robin Blaze, and Lenie van den Heuvel. Recently, he both prepared the edition and performed in Michael Chance’s production of Cavalli’s Giasone, and upcoming projects include Handel’s Dixit Dominus with Holland Baroque and Cappella Amsterdam. Before moving abroad, Jacob lived in Vancouver, where he still performs - most recently he performed in the 2017 Vancouver Bach Festival, and coordinated the Summer Festival of Sacred Music at Christ Church Cathedral, which he will return to run in 2018. He attended the University of British Columbia (BMus, 2012), and sang for three seasons with musica intima, a professional and self-directed vocal ensemble. keywords: seventeenth centrury, Germany, Johann Rudolph Ahle, performance, Early music, singing, edition
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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".