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Color Terms in Persian and English Metaphoric Expressions: Al-Hasnawi’s Cognitive Schemes in Focus

2011· article· en· W1905301719 on OpenAlexvenueno aff
Banafsheh Ghafel, Abbass Eslami Rasekh

Bibliographic record

VenueCross-cultural communication · 2011
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsPersianLinguisticsSchema (genetic algorithms)MetaphorCognitionFocus (optics)MetonymyExpression (computer science)PsychologyAction (physics)PhilosophyComputer science

Abstract

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Abstract Metaphorical language is an indispensable part of human life, involving language, thought and action. Metaphors are used to express abstract concepts in terms of concrete entities. As a subclass of metaphoric expressions, colorbased metaphors are culture specific so much so that they are, at times, difficult to understand by non-native speakers. The current comparative study is focused on metaphoric expressions of English and Persian within Al- Hasnawi’s (2007) model. The present study goes above and beyond simple metaphoric expressions of color by focusing on idioms, similes, metonymies and proverbs as long as they include at least one color term. Thus, the aims of the current study are twofold (i) to identify the extent of the diversity of the cognitive mapping between English and Persian speakers as long as color terms are concerned; (ii) to scrutinize their cognitive equivalency in translation. To do so, English examples were collected from Phillip (2006) and Allen (2008). Next, the Persian ones were searched from dictionaries in Persian. The findings of this comparative analysis show that, although there is some similarity in cognitive mapping between English and Persian, the majority of metaphorical expressions are culture-bound. Such expressions are orientated toward different mapping conditions. Considering cognitive equivalency, the results indicate that there is only a relative equivalency between English and Persian. Key words: Metaphorical expression; Cognitive schema; Translation; Culture Resume Le langage metaphorique est un element indispensable de la vie humaine, impliquant la langue, la pensee et l'action. Les metaphores sont utilisees pour exprimer des concepts abstraits en termes d'entites concretes. En tant que sousclasse des expressions metaphoriques, basee sur la couleur sont des metaphores de la culture specifiques a tel point qu'ils sont, a certains moments, difficile a comprendre par les locuteurs non natifs. L'etude comparative actuelle se concentre sur les expressions metaphoriques de l'anglais et le persan au sein d'Al-Hasnawi (2007) de modele. La presente etude va au-dela des expressions metaphoriques simples de couleur en se concentrant sur les idiomes, comparaisons, metonymies et des proverbes aussi longtemps qu'ils comprennent au moins un terme de couleur. Ainsi, les objectifs de l'etude actuelle sont de deux ordres: (i) d'identifier l'etendue de la diversite de la cartographie cognitive entre l'anglais et persanophones tant que termes de couleurs sont concernees, (ii) d'examiner leur equivalence cognitive dans la traduction. Pour ce faire, des exemples en anglais ont ete recueillies de Phillip (2006) et Allen (2008). Ensuite, les Perses ont ete recherchees a partir de dictionnaires en langue persane. Les resultats de cette analyse montrent que les comparatifs, bien qu'il y ait une certaine similitude dans la cartographie cognitive entre l'anglais et le persan, la majorite des expressions metaphoriques sont lies a la culture. De telles expressions sont orientees vers des conditions de mapping. Considerant l'equivalence cognitive, les resultats indiquent qu'il ya seulement une equivalence relative entre l'anglais et le persan. Mots-cles: Expression metaphorique; Schemas cognitifs; Traduction; Culture

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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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.043
GPT teacher head0.351
Teacher spread0.308 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2011
Admission routes1
Has abstractyes

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