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Record W3131016235 · doi:10.1002/mar.21461

Does consumer ethnocentrism impact international shopping? A theory of social class divide

2021· article· en· W3131016235 on OpenAlexaffabout
Muhammad Aljukhadar, Benjamin Boeuf, Sylvain Sénécal

Bibliographic record

VenuePsychology and Marketing · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsEthnocentrismConsumer ethnocentrismClass (philosophy)Social classContext (archaeology)AdvertisingProtectionismSocial psychologyPsychologyClass consciousnessSociologyPoliticsEconomicsPolitical scienceBusinessEpistemologyInternational trade

Abstract

fetched live from OpenAlex

Abstract Research on international shopping has the potential of elucidating collective issues such as the eminence of protectionist discourse. Concomitantly, the authors propose a Theory of Social Class Divide (SCD) that explains how the judgments of a consumer segment diverge from classical predictions. The theory received support in an international shopping context, showing that the behavior of lower‐class shoppers diverges from the prediction of consumer ethnocentrism theory. In the two studies, which comprised different methods (cross‐sectional and experimental), measures of social class (objective and subjective), and samples (US and Canadian), lower‐class consumers were notably less affected by their ethnocentrism than upper‐class consumers. Lower‐class consumers generally showed, regardless of their ethnocentrism, low attitudes, and shopping intentions toward foreign retailers. The results underline the ramifications of a widening divide in social class on international marketing, and have potential implications in germane fields such as political science.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.319
Teacher spread0.293 · 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 teacher head, not a consensus.

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

Citations25
Published2021
Admission routes2
Has abstractyes

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