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Record W2395297192 · doi:10.1525/gfc.2016.16.1.28

“Tastes Like Horse Piss”: Asian Encounters with European Beer

2016· article· en· W2395297192 on OpenAlexaff
Jeffrey M. Pilcher

Bibliographic record

VenueGastronomica The Journal of Food and Culture · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsUniversity of Toronto
FundersYale UniversitySocial Science Research Council
KeywordsModernityHinduismChinaTasteCosmopolitanismNationalismColonialismEmpireHistoryEconomyGeographyEconomic historyAncient historyPolitical scienceLawPoliticsEconomics

Abstract

fetched live from OpenAlex

This paper examines taste as a factor in beer's arrival as a symbol of modernity in India, Japan, and China. From nineteenth-century colonial production of India pale ale to contemporary attempts by global brewing firms to profit from a burgeoning Chinese market, beer has had an important but largely unexamined role in modern Asian-European encounters. This paper follows distinct agents of transmission—merchants, migrants, and empire builders—and their interactions with local drinking cultures to shape the particular tastes and meanings associated with beer in these countries. The case studies illustrate the different relationships that each country had with Western imperialism: India as a subject of British occupation, China as a site of commercial competition between imperial rivals, and Japan as a nascent imperial power in its own right. Beer gained least acceptance in the Indian subcontinent, in part because of Hindu and Muslim moralizing, and it symbolized western modernity for those who wished to challenge traditional culture. South Asian preferences often focused more on alcohol content than on the taste of malt or hops. The Japanese became Asia's most avid consumers of beer, adapting German lagers to local tastes. Chinese beer drinking has been limited to cities, and local brands are also bland, which reflects the place of beer within Chinese meals as a neutral grain. More broadly, I suggest that beer became a subject for nation-building efforts in Asia precisely because of its cosmopolitanism, which provided status to nationalist ideologues and supported their program of transcending regional rivalries.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0130.007
Scholarly communication0.0070.006
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.165
Teacher spread0.159 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2016
Admission routes1
Has abstractyes

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Same venueGastronomica The Journal of Food and CultureSame topicWine Industry and TourismFrench-language works237,207