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Record W2800587458 · doi:10.1177/0276146718773473

Gifts and Nationalism in Wartime Japan

2018· article· en· W2800587458 on OpenAlexaff
Yuko Minowa, Russell W. Belk

Bibliographic record

VenueJournal of Macromarketing · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsYork University
Fundersnot available
KeywordsSympathyNationalismPatriotismRhetoricNewspaperSociologyCompassionAdvertisingMedia studiesPolitical scienceLawSocial psychologyPsychologyBusiness

Abstract

fetched live from OpenAlex

This study investigates the shifting discourse and visual rhetoric of consumer rituals in the cultural media during wartime. Specifically, we examine Japanese newspaper advertisements for seasonal gifts and sympathy gifts in urban cities published between 1937 and 1940. This research addresses two questions: (1) how were advertising arguments constructed justifying spending for gifts while instructing readers on being thrifty during the wartime material shortages, and (2) how was the consumer ritual practice of gift giving used to propagate nationalism? The results of our iconographic-semiotic analysis show four advertising themes: compatibility with national policy, timeliness under the wartime circumstances, empathy with families whose members were serving at the front, and sympathy with those serving at the front. The advertisements enhanced nationalism in two ways: (1) through the promotion of nationalistic gift giving, and (2) by appealing to patriotism, which involves emotionally laden nationalistic sentiments.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.009
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.288
Teacher spread0.275 · 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 designNot applicable
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

Citations4
Published2018
Admission routes1
Has abstractyes

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Same venueJournal of MacromarketingSame topicJapanese History and CultureFrench-language works237,207