Attractiveness Bias in the Evaluation of Young Pianists' 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
We investigated how the attractiveness bias that influences the judgment of a variety of characteristics and behaviors in infants, children, and adults affects the evaluation of young pianists' performances. The assumption was that both the visual and the audio components of a videotaped musical performance influence the viewers perception of performance quality. We asked children, musicians, and nonmusicians (n = 75) to rate the quality of 10 piano performances from audiotapes (sound only) and from videotapes (sound and image). Additionally, the participants rated the attractiveness of the performers from brief videos of the performers getting ready to play. Results show that evaluations of audiovisual recordings of musical performances are judged more reliably than are audio recordings but also suggest that they may be affected by an attractiveness bias. The bias was found to favor the more attractive pianists among the female performers and among the best players, and the less attractive pianists among the male performers. The decision to use more reliable means of evaluation (videotapes or DVDs) at the expense of favoring a particular group of performers would have to be taken carefully depending on the outcomes of the situation.
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 | 0.029 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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 it