Cosmopolitanism, Consumer Ethnocentrism, and Materialism: An Eight-Country Study of Antecedents and Outcomes
Bibliographic record
Abstract
Although there is a consensus that industries are globalizing, the notion that consumer attitudes and behaviors worldwide are likewise homogenizing remains disputed. Despite widespread discourse on this topic, there is a dearth of empirical investigations. This international research examines similarities and differences with respect to the nature of three consumer attitudinal dispositions: cosmopolitanism, consumer ethnocentrism, and materialism. The authors cross-culturally compare demographic antecedents with these dispositions, as well as behavioral outcomes. They test the validation of the construct measures and associated hypotheses using survey data drawn from consumers in eight countries and structural equation modeling techniques, including multigroup analysis. Empirical findings broadly support the cross-cultural applicability of the constructs, though the links to the various demographic antecedents vary considerably from sample to sample. The role of each construct on behavior also varies substantially across the range of product categories considered and across and between national groups.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".