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Record W2158215234 · doi:10.1509/jmkg.71.1.113

Consumer Racism and Its Effects on Domestic Cross-Ethnic Product Purchase: An Empirical Test in the United States, Canada, and France

2006· article· en· W2158215234 on OpenAlexaffabout
Jean‐François Ouellet

Bibliographic record

VenueJournal of Marketing · 2006
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsRacismEthnic groupAffect (linguistics)Product (mathematics)Consumer behaviourAdvertisingTest (biology)Empirical researchMarketingSocial psychologyBusinessPsychologySociologyPolitical scienceGender studiesLaw

Abstract

fetched live from OpenAlex

This study provides empirical evidence of the effects of consumer racism on domestic cross-ethnic product purchase in three countries. The model predicts that consumer racism will affect ethnic majorities’ judgments of and willingness to buy products from each country's dominant ethnic minority. After a consumer racism measurement instrument is developed and validated, experiments and survey results show that varying levels of consumer racism affect consumer judgments of and willingness to buy domestic products that are perceived as being made by ethnic minorities in the three countries in which the tests took place. Moreover, the results indicate that minority-owned business performance is significantly and negatively affected in areas in which consumer racism is more prevalent. Moderators of consumer racism effects are the perceived level of interaction between consumers and the minority-owned company, a certain product-ethnicity image, and consumers’ perceived importance of the outcome associated with consuming minority-owned companies’ products and/or services.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score0.562

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.020
GPT teacher head0.294
Teacher spread0.274 · 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 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

Citations207
Published2006
Admission routes2
Has abstractyes

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Same venueJournal of MarketingSame topicConsumer Behavior in Brand Consumption and IdentificationFrench-language works237,207