Would you hire Liam over Kirk? Name sound symbolism and hiring
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Sound symbolism is the phenomenon by which certain language sounds evoke particular associations. Previous work has demonstrated that names evoke personality associations based on the sounds they contain, with names containing sonorant consonants evoking different associations than those containing voiceless stops. Here we examined whether these associations would impact a mock hiring task. We created job ads that described an ideal candidate as being high in one of the six factors of the HEXACO framework of personality. Participants were given a pair of candidates, one whose name contained sonorants (e.g., "Molly") and one whose name contained voiceless stops (e.g., "Katie"). Whether job ads contained three personality adjectives (Experiment 1), a single adjective (Experiment 2), or a single adjective and a picture (Experiment 3) participants were more likely to choose the candidate with the sonorant name for certain personality factors. In Experiment 4 participants saw videotaped mock interviews of candidates presented with a sonorant or voiceless stop name. Names were less influential in the presence of audiovisual information than perceived name fit. These results demonstrate the impact of name sound symbolism in a more material scenario. They also help establish boundary conditions and moderators for name sound symbolism.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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