Cultural aspects of music perception: Validation of a Greek version of the Montreal Battery of Evaluation of Amusias
Bibliographic record
Abstract
Despite music's universality, people perceive and interpret music according to their cultural background. The existing music perception batteries, however, do not take into account possible cultural differences. We adapted the Montreal Battery of Evaluation of Amusias (MBEA) into the requirements of Eastern (Greek) music, where rhythm and melody scales are different from the ones used in Western music. We obtained norms for both the original version of MBEA and its Greek adaptation from the same Greek participants because they are exposed to both genres (traditional and Eastern). Results indicate that some parts of the original MBEA such as the meter test would not be suitable for evaluating the musical abilities of populations with a different musical tradition. Instead, our version of the MBEA, the Greek Battery of Evaluation of Amusia (GBEA) should be preferred in assessing music perception in cultures or individuals influenced by Eastern or both traditions. We also report the results of a congenitally amusic individual (B.Z.) evaluated with both batteries showing that GBEA is a more sensitive tool to evaluate her impairment in music perception.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".