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Record W7154580265 · doi:10.48448/8832-9a13

The Emergence of Name Sound Symbolism in Children

2025· other· W7154580265 on OpenAlexaff
Cognitive Science Society 2025, Pei-Chu Liaw, Penny Pexman, Lorraine Reggin, David Sidhu

Bibliographic record

VenueUnderline Science Inc. · 2025
Typeother
Language
Field
Topic
Canadian institutionsUniversity of CalgaryCarleton University
Fundersnot available
KeywordsSound symbolismSound (geography)Association (psychology)CrossmodalProper noun

Abstract

fetched live from OpenAlex

Sound symbolism refers to the finding that certain phonemes are perceived to be better fits for particular properties such as shape (e.g., the Maluma/Takete effect). Sound symbolism extends from nonwords to real first names (i.e., the Bob/Kirk effect). Children begin to show sensitivity to sound symbolism at one year of age, however, the development of name sound symbolism remains unexplored. Additionally, previous work on name sound symbolism has highlighted people’s tendency to associate femaleness with round shapes, and maleness with spiky shapes. We investigated the emergence of name sound symbolism and gender-shape association in five- to seven-year-olds, in comparison to adults. We also collected measures of children’s language abilities. Results indicate that both associations are stronger in adults than children. Moreover, while gender-shape association is observable in children, name sound symbolism develops later, and language skills did not influence development. These findings provide insights into the development of crossmodal correspondences.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.802
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.012
Science and technology studies0.0010.017
Scholarly communication0.0010.001
Open science0.0090.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.004

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.

Opus teacher head0.010
GPT teacher head0.292
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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