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Collision with China: Conceptual Metaphor Analysis, Somatic Marking, and the EP-3 Incident

2007· article· en· W2090865971 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Studies Quarterly · 2007
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsConceptual metaphorCognitive linguisticsMetaphorChinaPeriod (music)Similarity (geometry)Conceptual blendingSociologyCognitionLinguisticsEpistemologyFrame (networking)PoliticsPsychologyPolitical scienceAestheticsComputer scienceLaw

Abstract

fetched live from OpenAlex

Recent research suggests that cultural differences in Chinese and Western modes of conceptual reasoning play a significant role in political discourse and relations between the United States and China. In contrast, our analysis of the discourse surrounding the 2001 collision of an American surveillance plane with a Chinese fighter jet over international waters reveals a surprisingly high degree of similarity in conceptual metaphors used across the two cultures. Using tools from cognitive linguistics and cognitive science, we compare U.S. and Chinese conceptual metaphors used to frame the incident over a 13-day period, ultimately distinguishing between shared metaphorical conceptualizations (War, Journey, and Economic) and competing metaphorical conceptualizations (Game, Technical Fix, Victim, and Civil Relations). Our analysis allows us to make empirically grounded claims about Chinese–American relations that avoid cultural stereotypes and suggest possibilities for further integration of interpretive and scientific approaches for understanding intercultural discourse.

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.

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)0.000
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 score0.685
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.016
GPT teacher head0.316
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