Associations Between Musical Experience and Auditory Discrimination
Bibliographic record
Abstract
Background: Auditory processing is affected by both musical experience and native language. However, which aspects of auditory perception are influenced by musical experience for which language groups is not known. Objectives: To identify how musical experience is related to auditory discrimination for English speakers, and to compare these results with previous literature on other languages. Design: Scores on the Goldsmith Musical Sophistication Index self-report questionnaire were correlated to six aspects of auditory discrimination. Auditory discrimination was measured using three two-choice forced decision tasks for simple pitch discrimination, simple duration discrimination, and complex duration discrimination. Results: Only pitch discrimination was significantly related to musical experience after correction for multiple correlations. Conclusions: Improved pitch discrimination has been associated with musical experience in many studies and in many language groups. However, other aspects of auditory perception appear to have a different relationship with musical experience depending on native language.There are many questions remaining, and a direct comparison of different languages for how musical experience affects auditory discrimination is needed.
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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 | 0.000 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".