Vowel sounds in words affect mental construal and shift preferences for targets.
Bibliographic record
Abstract
A long tradition in sound symbolism describes a host of sound-meaning linkages, or associations between individual speech sounds and concepts or object properties. Might sound symbolism extend beyond sound-meaning relationships to linkages between sounds and modes of thinking? Integrating sound symbolism with construal level theory, we investigate whether vowel sounds influence the mental level at which people represent and evaluate targets. We propose that back vowels evoke abstract, high-level construal, while front vowels induce concrete, low-level construal. Two initial studies link front vowels to the use of greater visual and conceptual precision, consistent with a construal account. Three subsequent studies explore construal-dependent tradeoffs as a function of vowel sound contained in the target's name. Evaluation of objects named with back vowels was driven by their high- over low-level features; front vowels reduced or reversed this differentiation. Thus, subtle linguistic cues appear capable of influencing the very nature of mental representation.
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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 | 0.009 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".