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Record W2766925490 · doi:10.5539/ells.v7n4p58

A Study on Culture Adaptation Difference between Chinese and American Advertising Discourses

2017· article· en· W2766925490 on OpenAlexvenueno aff
Jinlan Zhu

Bibliographic record

VenueEnglish Language and Literature Studies · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
FundersSocial Science Foundation of Jiangsu ProvinceGovernment of Jiangsu Province
KeywordsAdvertisingCollectivismIndividualismAdaptation (eye)BusinessSociologyMarketingPolitical sciencePsychology

Abstract

fetched live from OpenAlex

Advertising discourse is a kind of strategic communicative language, and adaptation is often used as an effective strategy by advertisers to publicize the products and lure the customers to buy the advertised products. The study is conducted to compare the differences of culture adaptation in Chinese and American advertising discourse, finding different orientations where Chinese advertising discourses and American ones respectively adapt to the potential customers: 1. Collectivism vs. Individualism in Standard of Value; 2. Monism vs. Pluralism in Thinking Mode; 3. Authority vs. Equality in Concept; 4. Past Orientation vs. Future Orientation in Culture Tradition; 5. Implicity vs. Superiority in Culture Characteristics. The results will provide valuable implication and reference for the companies, advertisers and researchers, helping the advertisers design advertisements in line with the target culture and overcome the culture barrier to international advertising communication.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
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 head0.021
GPT teacher head0.323
Teacher spread0.302 · 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 designQualitative
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

Citations1
Published2017
Admission routes1
Has abstractyes

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