Mappings between linguistic sound and motion
Why this work is in the frame
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Bibliographic record
Abstract
This paper provides an overview of the possible function of non-arbitrary mappings between linguistic form and meaning, and presents new empirical evidence showing that shared cross-modal associations may underlie motion sound-symbolism in particular. In terms of function, several lines of empirical and theoretical evidence suggest that non-arbitrary form-meaning connections could have played a crucial role in lexical emergence during language evolution. Furthermore, the persistence of such non-arbitrariness in some areas of modern language may also be highly functional, as recent data has shown that non-arbitrary forms may help to bootstrap learning in children (Imai, Kita, Nagumo, and Okada, 2008) and adults (Nielsen and Rendall, 2012). Given the functional role of these non-arbitrary mappings between linguistic form and meaning, this paper describes new experimental data demonstrating shared mappings between non-sense words and visual motion using a direct matching task. Participants were given nonsense words that varied in terms of their voicing, reduplication, and vowel quality, and asked to change the movement of a ball to match a given word. Results show that back vowels are mapped onto slower speeds, and consonant reduplication with vowel alternation is mapped onto faster speeds. These results show a shared cross-modal association between linguistic sound and motion, which is likely leveraged in sound-symbolic systems found in natural language.
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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 | 0.000 | 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 | 0.000 | 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