Experimental Study on the Relatedness in Chinese between Tonal Suggestiveness and Product Attributes in the Category of Cars
Bibliographic record
Abstract
This paper aims at finding whether in Chinese there is relatedness between the tones and the product attributes by an experiment on tone suggestiveness. The experiment shows that in automobile brand naming, the rising tone is the most favorable one for all types of cars, other tonal preference varies depending on the attributes of the cars as follows: the high tone is the second most favored for the safe and comfortable type; falling tone is favored for the fashionable type; the high tone and the dipping tone share almost the same preference for the environment-friendly and the luxury type; and for the powerful type, the falling tone is the second most favored. Besides, the experiment also shows that there is a different tonal preference between the male and female subjects for the naming of safe and comfortable automobiles: male subjects favor the rising for all the types, while the females high tone for the naming of safe and comfortable automobiles. Key words: tonal language, tone suggestiveness, product attributes, brand naming Resume: Cet article vise a trouver s’il existe, en chinois, une relation entre les intonations et les attributs du produit en faisant un essai sur la suggestivite tonale. Cet essai montre que dans la denomination des marques automobiles, le ton montant est le plus favorise pour toutes sortes de voiture, d’autres preferences tonaux varient selon les attributs de voiture comme ci –dessous : le ton haut est le deuxieme favori pour la gamme sure et comfortable, le ton descendant est favorise par la gamme a la mode, le ton haut et le ton baissant beneficie d’une preference presque egale de la gamme environnement-amical et la gamme de luxe, et pour la gamme puissante, le ton descendant est le deuxieme favori. En outre, cet essai montre aussi qu’il existe une preference differente dans la denomination des automobiles surs et comfortables entre les hommes et les femmes : les hommes ont une preference pour le ton montant pour toutes les gammes , tandis que les femmes prefere le ton haut pour denommer la gamme sure et comfortable. Mots-Cles: langue avec des tons, suggestivite tonale, attributs du produit, denomination des marques
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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 | 0.002 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".