Metonymy in the nomenclature of Japanese traditional colors
Why this work is in the frame
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Bibliographic record
Abstract
Abstract This paper offers a cognitive semantic analysis of 185 nominal-nominal compounds that are used to express Japanese traditional colors (e.g., budoo-nezumi [grape-rat] ‘plum purple’). It explores the types of nominals adopted into compounds, the components’ semantic relations, and the types of metonymy involved in the meaning construction. The most frequently found semantic relations of the two components of the compounds are: (i) color of the ‘right’ blended with color of the ‘left’ , where both components are construed metonymically via whole for the part (e.g., budoo-nezumi [grape-rat] ‘plum purple’ is a blend of two colors: grey, expressed by nezumi ‘rat’ (whole), standing for the animal’s hair color (part), and dark purple, expressed by budoo ‘grape’ (whole), standing for the fruit’s skin color (part)); and (ii) color of the ‘left’ , expressed by the X-iro [X-color] compound (e.g., kohaku-iro [amber-color] ‘amber’). While both components in the X-iro compounds are typically used literally, overall, 65% of the 185 compounds involve metonymy ( whole for the part, action for result , among others), suggesting the important role played by metonymy in meaning construction of the compounds expressing Japanese traditional colors.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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