Scholarly Notes to Accompany a Compact Disc Recording Project: An Interpretive Analysis of Johann Sebastian Bach’s Capriccio on the Absence of the Beloved Brother, BWV 992, Ludwig van Beethoven’s Sonata No. 31 in A-flat major, Op. 110, Frédéric Chopin’s Ballade No. 2 in F major, Op. 38, and Nino Rota’s 15 Preludes
Bibliographic record
Abstract
This thesis project consists of three components: 1. a solo piano recital; 2. a compact disc recording of the recital program; and 3. comprehensive scholarly notes to accompany the compact disc. The recital was given at the University of Alberta’s Convocation Hall on January 17, 2015 at 8:00 p.m. The compact disc was recorded prior to the recital at the University of Alberta’s Convocation Hall on a Hamburg Steinway Model D-274 Concert Grand Piano. These scholarly notes present an interpretive analysis of Johann Sebastian Bach’s Capriccio on the Absence of the Beloved Brother, BWV 992 (ca. 1702), Ludwig van Beethoven’s Sonata No. 31 in A-flat major, Op. 110 (1821), Frédéric Chopin’s Ballade No. 2 in F major, Op. 38 (1836-39), and Nino Rota’s 15 Preludes (1964).
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".