Effects of Selected Variables on Musicians’ Ratings of High-Level Piano Performances
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
The purpose of this study was to ascertain whether judgments of solo performances recorded at a well-known international piano competition would be affected by musical characteristics such as style (classic period versus early 20th-century Russian) and tempo (slow versus fast). Evaluators rated performances on six test items: tone quality, note accuracy, rhythmic accuracy, expressiveness, adherence to style and overall impression. The effects of four between-subjects variables were examined: audio versus audiovisual presentation, undergraduate versus graduate/faculty, gender, and pianists versus non-pianists. Results from the 227 evaluators revealed main effects for treatment, style and major: audiovisual presentations were rated higher than audio only presentations, performances of Russian music were rated higher than performances of classic music, and pianists rated performances higher than did non-pianists. The treatment effect was due to a significant treatment by major interaction, and applied only to non-pianists. Gender was involved in a number of three- and four-way interactions that are difficult to interpret. Pearson r correlations were calculated for ratings of the 16 performances on the overall impression test item. The mean correlation for the 120 pairs of ratings was .33 – low but statistically significant. Intraclass correlations revealed no significant differences between the two levels of all four between-subjects variables.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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