Sound Symbolism in the Lexicon: A Review of Iconic‐Systematicity
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT Sound symbolism refers to associations between language sounds (i.e., phonemes) and particular properties (e.g., certain shapes). For example, phonemes like /m/ are associated with roundness, while phonemes like /k/ are associated with spikiness. In this paper I review the accumulating evidence that different instances of sound symbolism can be observed as patterns in real words in existing lexicons (e.g., /m/ occurring more frequently in words for round things). The properties examined include shape, size, texture, valence and arousal. Such effects are an instance of both iconicity (words whose forms resemble their meanings) and systematicity (largescale patterns in the forms of related words in a language). I also discuss open questions on the topic, including how such patterns emerge, and their effects on language processing.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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