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Record W2734610409 · doi:10.1017/s0026749x16000287

Nationalizing the Consumption of Tea for the Hindi Reader: The Indian Tea Market Expansion Board's advertisement campaign

2017· article· en· W2734610409 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

VenueModern Asian Studies · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsYork University
Fundersnot available
KeywordsConsumption (sociology)HindiCasteAdvertisingMiddle classEliteModernitySociologyGender studiesPolitical scienceSocial scienceBusinessLaw

Abstract

fetched live from OpenAlex

Abstract In analysing a campaign launched by the Indian Tea Market Expansion Board in a Hindi literary periodical, this article seeks to read tea advertisements within the cultural history of gendered lives and nationalism in the decade leading up to Indian Independence. More specifically, it explores how multiple versions of feminized Indian modernity came to feature in the construction of black tea as a healthy, social, and national beverage. As the habit and custom of tea drinking was not common amongst the Indian population of the first half of the twentieth century, the advertisements focused on the creation of a culture of ‘proper’ tea preparation and ‘correct’ consumption. Not only did the middle-class woman and her family feature centrally in these advertisements; aristocratic and working women as well as movie actresses were all associated with the beverage drunk to reenergize and savour. While the advertisements addressed middle-class society and consciousness, this article argues that they did so by also drawing on, and not distancing from, diverse class, caste, and professional contexts.

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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
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 head0.085
GPT teacher head0.306
Teacher spread0.221 · 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