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Record W1971161285 · doi:10.1086/588747

Politicizing Consumer Culture: Advertising's Appropriation of Political Ideology in China's Social Transition

2008· article· en· W1971161285 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

VenueJournal of Consumer Research · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsYork University
Fundersnot available
KeywordsIdeologyConsumerismAppropriationCommunismPoliticsChinaTransition (genetics)Context (archaeology)SociologySemioticsPolitical sciencePolitical economySocial scienceLawEpistemology

Abstract

fetched live from OpenAlex

China's ideological transition from a communist country toward a consumer society provides an unprecedented context in which to explore the rise of consumerism in a contemporary society. We examine how advertising appropriates a dominant anticonsumerist political ideology to promote consumption within China's social and political transition. We show how advertising reconfigures both key political symbolism and communist propaganda strategies through a semiotic analysis of advertisements in the People's Daily. Our structural framework of ideological transition extends Barthes's myth model and examines ideological transition in advertising from the macroperspective of political ideology. This framework goes beyond the transfer of cultural meanings and can help to explain ideological shifts in other societies.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.511
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.109
GPT teacher head0.428
Teacher spread0.319 · 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