Effects of Music and Tonal Language Experience on Relative Pitch Performance
Bibliographic record
Abstract
We examined the interaction between music and tone language experience as related to relative pitch processing by having participants judge the direction and magnitude of pitch changes in a relative pitch task. Participants' performance on this relative pitch task was assessed using the Cochran-Weiss-Shanteau (CWS) index of expertise, based on a ratio of discrimination over consistency in participants' relative pitch judgments. Testing took place in 2 separate sessions on different days to assess the effects of practice on participants' performance. Participants also completed the Montreal Battery of Evaluation of Amusia (MBEA), an existing measure comprising subtests aimed at evaluating relative pitch processing abilities. Musicians outperformed nonmusicians on both the relative pitch task, as measured by the CWS index, and the MBEA, but tonal language speakers outperformed non-tonal language speakers only on the MBEA. A closer look at the discrimination and consistency component scores of the CWS index revealed that musicians were better at discriminating different pitches and more consistent in their assessments of the direction and magnitude of relative pitch change.
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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 | 0.001 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".