Mechanisms of absolute pitch: II. Pitch shift and perfect touch
Bibliographic record
Abstract
The previous article in this series reviewed the historical and modern academic literature concerning the distinctive characteristics of individual musical notes and keys. It stressed Bachem’s definition of tone chroma (TC) as the quality that allows notes/keys to be identified instantly and accurately by musicians possessing the type of absolute pitch (AP) that Bachem described as genuine. TC qualities were shown to vary in the same systematic manner as the second-order acoustical beats predicted to accumulate during the tuning of instruments to equal temperament. This article offers further evidence for the connection between TC and acoustical sensitivity, as indicated by an examination of paracusis musicalis (PM), the shifting of the pitch sense with age to a level sharper or flatter than its original level. It is also noted that AP judgments have been shown to be based on kinaesthetic and tactile sensations, which perform the same cueing functions as auditory TC, and that types of AP judgment may, therefore, exist not typically identified as absolute: for example, an absolute or perfect touch capacity observed in keyboard players. Evidence of this capacity supports the theory of instrument-specific AP.
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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 | 0.001 |
| 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 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".