Mechanisms of absolute pitch: II. Pitch shift and perfect touch
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it