How Colours are Semantically Construed in the Arabic and English Culture: A Comparative study
Why this work is in the frame
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Bibliographic record
Abstract
Most works in cognitive semantics have been focusing on the manner, in which an individual behaves - be it the mind, brain, or even computers, which process various kinds of information. Among humans, in particular, social life is richly cultured. Sociality and culture are made possible by cognitive studies; they provide specific inputs to cognitive processes (Wilson & Keil, 1999). The current work focussed on the use of colours as a term throughout the Arabic and English culture. In fact, one colour may imply different meanings at the same place, and this makes us ponder on how colours are construed in cross cultural diversity? In this vein, the current work referred to the etymological meaning of the colour terms, and provided six basic Arabic colour terms and cross to six English colour terms. Using the cognitive cultural categorization for each colour term, three different meanings were identified - basic meaning, extended meaning and additional meaning. ‘Basic meaning’ refers to the original meaning of the colour term, whereas ‘extended meaning’ refers to the meaning extended from the original meaning throughout human experience and ‘additional meaning’ refers to the meaning which has been further abstracted from the extended meaning. Thus, the aim of this work was to show how meanings of colours are identified in the different cultures of Arabic and English, and in the way whereby both languages are relevant and different for each colour term.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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