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Record W2030685343 · doi:10.5539/ijel.v4n6p134

A Contrastive Study of Death Metaphors in English and Chinese

2014· article· en· W2030685343 on OpenAlexvenueno aff
Cong Tian

Bibliographic record

VenueInternational Journal of English Linguistics · 2014
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsAfterlifeMetaphorConceptual metaphorLinguisticsMetonymyVariation (astronomy)EpistemologySociologyPsychologyPhilosophy

Abstract

fetched live from OpenAlex

This paper analyzes the metaphorical structure of the domain of death in Chinese within the framework of the conceptual metaphor theory. The Chinese data come from an essay collection and two dictionaries, one general dictionary, the other a dictionary of euphemisms. It aims to account for the way the Chinese conceptualize death metaphorically in terms of a limited system of metaphors, metonymies and image schemas which are grounded in our bodily and social experience, with the goal of identifying cross-linguistic/cross-cultural variation in the types of metaphorical mappings proposed by Lakoff and Turner for English. The analysis fails to reveal a single coherent conceptual organization underlying Chinese death expressions. The data suggest a high degree of similarity between English and Chinese in the types of metaphorical mappings and support the claim that primary metaphors are shared by all human languages. However, cross-linguistic discrepancy is observed in complex mappings. One potential reason for this is that the cultural models of death and afterlife are very much blended with the religious formulations of these concepts, and given the vast differences between the religious formulations of death and afterlife in Chinese and Western religions, it is a likely outcome that the metaphors based on these cultural models will be different. In addition, the Chinese emphasis on the social roles and responsibilities of the individual and the belief that life and death form a continuum rather than a break give rise to various mappings and death expressions that have no counterpart in English.

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)0.001
metaresearch head score (Gemma)0.058
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.058
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.014
GPT teacher head0.313
Teacher spread0.300 · 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

Citations3
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of English LinguisticsSame topicLanguage, Metaphor, and CognitionFrench-language works237,207