The role of emotional mediation in musical and vocal sound-color correspondence.
Bibliographic record
Abstract
This study investigates the role of emotional mediation in sound-color cross-modal correspondence, using twocomplementary sets of validated stimuli: the Montreal Affective Voices (MAV; Belin et al., 2008), and Musical EmotionalBursts (MEB; Paquette et al., 2013). These stimuli were presented to participants for color associations, emotional associations,and rated for arousal and valence. The results demonstrated that the same pattern of color association applied across both vocaland musical sounds, which strongly correlated with the perceived emotional connotation of the sound. Sounds across bothdomains that were rated as high arousal/negative valence were associated with red (anger), sounds rated as high arousal/positivevalence were associated with yellow (happiness), and sounds rated as low arousal/negative valence were associated with blue(sadness). The results thus replicate previous research indicating that arousal and valence govern sound-color correspondence,suggesting that cross-modal associations may reflect reciprocal interactions between the connotative meanings of differentstimuli.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".