Cross-modal perception of rhythm in music and dance by cochlear implant users
Bibliographic record
Abstract
Two studies examined adult cochlear implant (CI) users' ability to match auditory rhythms occurring in music to visual rhythms occurring in dance (Cha Cha, Slow Swing, Tango and Jive). In Experiment 1, adults CI users (n = 10) and hearing controls matched a music excerpt to choreographed dance sequences presented as silent videos. In Experiment 2, participants matched a silent video of a dance sequence to music excerpts. CI users were successful in detecting timing congruencies across music and dance at well above-chance levels suggesting that they were able to process distinctive auditory and visual rhythm patterns that characterized each style. However, they were better able to detect cross-modal timing congruencies when the reference was an auditory rhythm than when the reference was a visual rhythm. Learning strategies that encourage cross-modal learning of musical rhythms may have applications in developing novel rehabilitative strategies to enhance music perception and appreciation outcomes of child implant users.
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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 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".