Analysis, Performance, and Tension Perception of an Unmeasured Prelude for Harpsichord
Bibliographic record
Abstract
This study focuses on the relationships between music analysis, performance, and tension perception. Part 1 examines harpsichordists’ analyses and performances of an unmeasured prelude—a semi-improvisatory genre open to interpretive freedom. Twelve harpsichordists performed the Prélude non mesuré No. 7 by Louis Couperin on a harpsichord equipped with a MIDI console and submitted a formal analysis. Using a curve-fitting approach, we investigated the correspondence between analyzed segmentations and group-final lengthening. We found that harpsichordists also employed “group-final anticipation,” involving deceleration before, and acceleration through, analyzed boundaries. In Part 2, three listener groups (harpsichordists, musicians, and nonmusicians) continuously rated tension for 12 performances. In contrast to measured music, local tension peaks, rather than troughs, occurred at boundaries featuring group-final lengthening. Associations were found between global tempo and tension ratings, with significant differences among the three listener groups. Performers expressed the large-scale structure through the amount of tempo variability, which was also reflected in tension rating variability.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".