Sensitivity to Tonality across the Pitch Range
Why this work is in the frame
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Bibliographic record
Abstract
Striking changes in sensitivity to tonality across the pitch range are reported. Participants were presented a key-defining context (do-mi-do-sol) followed by one of the 12 chromatic tones of the octave, and rated the goodness of fit of the probe tone to the context. The set of ratings, called the probe-tone profile, was compared to an established standardised profile for the Western tonal hierarchy. The presentation of context and probe tones at low and high pitch registers resulted in significantly reduced sensitivity to tonality. Sensitivity was especially poor for presentations in the lowest octaves where inharmonicity levels were substantially above the threshold for detection. We propose that sensitivity to tonality may be influenced by pitch salience (or a co-varying factor such as exposure to pitch distributional information) as well as suprathreshold inharmonicity.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it