Symbolic and Motor Contributions to Vocal Imitation in Absolute Pitch
Bibliographic record
Abstract
The Linked Dual Representation model (Hutchins & Moreno, 2013) was designed to provide an account for the broad pattern of relationships between vocal perception and production, including both correlations and dissociations between the two. This model makes a unique prediction that musicians with absolute pitch (AP) should be biased towards compensating for objectively mistuned notes in a single note imitation task. In this paper, we tested this prediction by asking musicians with and without AP to imitate vocal notes that are either well-tuned or mistuned. We found that AP musicians were more likely to bias their responses to compensate for mistunings, and that this effect was stronger after longer response delays. We also showed evidence for some implicit AP-like abilities among non-AP musicians. Our findings were predicted by the Linked Dual Representation model, but not other models, providing further evidence for this model.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".