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Record W2821767084 · doi:10.1590/s0034-759020180310

"BEER WITH CHINESE CHARACTERISTICS": MARKETING BEER UNDER MAO

2018· article· en· W2821767084 on OpenAlexaff
Jeffrey M. Pilcher, Yu Wang, YUEBIN JACKSON GUO

Bibliographic record

VenueRevista de Administração de Empresas · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChinaSymbol (formal)Political radicalismCommunismModernityTastePrivilege (computing)BrewingPolitical scienceSociologyEconomyPoliticsLawEconomicsPsychologyFood sciencePhilosophy

Abstract

fetched live from OpenAlex

ABSTRACT This essay explores the nationalization of beer in twentieth-century China. Using the theoretical framework of "culinary infrastructure," it shows how the physical facilities and technologies of brewing and marketing interacted with local drinking cultures to shape the understandings of beer in China. It begins by describing how a western consumer good originally marketed to colonial representatives was gradually adopted by the urban Chinese as a symbol of modernity in the first half of the twentieth century. It then reviews the nationalization of foreign-owned breweries and the growth of domestic production in the first decades of Communist rule. The essay concludes that the Chinese acquired a taste for beer as an everyday marker of urban privilege that survived Maoist radicalism and remains to this day a defining feature of Communist China.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.022
GPT teacher head0.314
Teacher spread0.292 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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