Individualized interpretation: Exploring structural and interpretive effects on evaluations of emotional content in Bach’s Well Tempered Clavier
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Audiences, juries, and critics continually evaluate performers based on their interpretations of familiar classics. Yet formally assessing the perceptual consequences of interpretive decisions is challenging – particularly with respect to how they shape emotional messages. Here, we explore the issue through comparison of emotion ratings (using scales of arousal and valence) for excerpts of all 48 pieces from Bach’s Well-Tempered Clavier. In this series of studies, participants evaluated one of seven interpretations by highly regarded pianists. This work offers the novel ability to simultaneously explore (1) how different interpretations by expert pianists shape emotional messages, (2) the degree to which structural and interpretative elements shape the clarity of emotional messages, and (3) how interpretative differences affect the strength of specific features or cues to convey musical emotion.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it