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Record W7154622891 · doi:10.48448/7erw-pd26

Spatially Upward and Emotionally Uncertain: A Pilot Study on Mental Representations of Lexical Tones

2025· other· W7154622891 on OpenAlexaff
Cognitive Science Society 2025, Feier Gao, Chun Hau Ngai, He Zhou

Bibliographic record

VenueUnderline Science Inc. · 2025
Typeother
Language
Field
Topic
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsTone (literature)Pitch contourEmotional valenceValence (chemistry)Task (project management)Motion (physics)

Abstract

fetched live from OpenAlex

The present study investigated cross-modal correspondences between Cantonese tones and two dimensions: (1) spatial motion and (2) emotional valence, via a forced-choice mapping task on Hong Kong native speakers. Results show that the two contour tones (rising and falling contours) could be reliably matched with motions (upward and downward) that are congruent with pitch trajectories; and in contrast, the correspondence between contour tones and emotion valence (rising tone is positive and falling tone is negative) was less robust and limited for selective vowels. In summary, our findings indicate that beyond arbitrary form-meaning correspondence, vertical spatial information, both concrete (motion) and abstract (valence), are also encoded in lexical tones of Hong Kong Cantonese, but that the relative strengths of the two types of correspondences were not equivalent.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.535
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0010.008
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.065
GPT teacher head0.372
Teacher spread0.307 · 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; a candidate call from one teacher head, not a consensus.

Study designObservational
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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