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Construction of China’s National Identity in An Australian Travel Brochure ─ A Critical Discourse Analysis Perspective

2009· article· en· W1890231824 on OpenAlexvenueno aff
Jie Zhang

Bibliographic record

VenueCanadian social science · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyCritical discourse analysisChinaHumanitiesDiscourse analysisSociologyPolitical scienceContext (archaeology)ArtHistoryPhilosophyPoliticsLawLinguistics

Abstract

fetched live from OpenAlex

As promotional advertising discourses, travel brochures are the direct products of travel institutions’ ideology, as well as a major medium for addressees’ perceiving tourist sites. In cross-cultural context, the travel brochure of China produced by Australian Helen Wang travel agency constructed a specific national identity catering for tourists’ seeking novelty. From a Critical Discourse Analysis perspective, Systemic Functional Grammar is effective in interrogating the institutional ideology behind this discourse. Keywords: travel brochure; ideology, Critical Discourse Analysis, Systemic Functional Grammar Resume: En tant que discours de publicite de promotion, les brochures de voyage sont les produits directs de l’ideologie des institutions de voyage, et egalement un media majoritaire pour le porte-parole des sites touristiques. Dans un contexte interculturel, la brochure du voyage de la Chine produite par l’agence australien de voyage Helen WANG a etablit une identite particuliere nationale en lancant des nouveautes de decouverte pour les touristes. A travers une analyse de la perspective dans un discours critique, la grammaire fonctionnelle et systematique est effective dans l’enquete de l’ideologie institutionnelle derriere ce discours. Mots-cles: brochure de voyage, l’ideologie, discours critique, la grammaire fonctionnelle et systematique

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.886
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.360
Teacher spread0.336 · 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 designTheoretical or conceptual
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

Citations0
Published2009
Admission routes1
Has abstractyes

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