Bibliographic record
Abstract
This chapter provides an overview of multisensory processing in music by individuals with normal hearing, hearing loss, and deafness. The first section provides an account of theory and evidence regarding the neural mechanisms underpinning multisensory processing. The second section considers auditory-only processing of music with a focus on lateralization, basic modularity, and pathways. The final section considers non-auditory and multisensory processing of pitch, timbre, and rhythm. For each dimension, psychophysical evidence is presented before reviewing the extant neuroscientific evidence. Where no neuroscientific evidence exists, proposals have been made about the types of neural mechanisms that may be involved. Neuroplastic changes following deafness are also considered. The chapter ultimately argues that although most individuals will justifiably focus on sound as the core of music processing, a more inclusive and nuanced consideration of music takes a multisensory perspective, involving the integration of inputs from auditory, visual, somatosensory, vestibular, and motor areas.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.131 | 0.012 |
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; both teacher heads agree on what is shown here.
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".