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Record W2028423991 · doi:10.1177/0276146710375831

Social Change and Gendered Gift-Giving Rituals: A Historical Analysis of Valentine’s Day in Japan

2010· article· en· W2028423991 on OpenAlexaff
Yuko Minowa, Olga Khomenko, Russell W. Belk

Bibliographic record

VenueJournal of Macromarketing · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsYork University
FundersIstituto Nazionale Previdenza Sociale
KeywordsConsumption (sociology)IdeologyConfession (law)SociologyPower (physics)Gift givingReligiosityGender studiesRite of passageAdvertisingSocial psychologySocial scienceAnthropologyPsychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Valentine’s Day is a culturally hybridized and popularly celebrated consumption ritual in Japan. We examine its historical transformation based on a visual and textual analysis of advertisements in print media over fifty years. Changes in the meanings, functions, and structure of gift-giving rituals correspond to changes in the national economy, social values, consumer ideology, and gender roles and power relationships in Japanese society. There are five major findings: one, the importance of food—chocolate—in the creolization process of the consumer ritual; two, the persistent gender asymmetric nature of the Valentines consumer holiday; three, the ritual’s structural aspects and changes over the time; four, the importance of confession in the ritual process; and five, the transformation of its role from a simple instrument of love and a way to elevate a relationship to a rite to reconfirm gender identity. This study supplements the very limited literature on Japanese gift-giving rituals.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0060.005
Scholarly communication0.0020.002
Open science0.0000.002
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 head0.044
GPT teacher head0.256
Teacher spread0.212 · 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

Citations50
Published2010
Admission routes1
Has abstractyes

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