Acculturation to the global consumer culture: Ten years after and agenda for the next decade
Bibliographic record
Abstract
Globalization is shaping culture, modifying value systems, affecting social identities, and ultimately, altering the dispositions and behaviors of consumers worldwide. With more than 400 citations to date, Cleveland and Laroche’s (2007) publication, which applied social identity and acculturation theories to the study of global consumer culture (GCC), is recognized as one of the defining works on the subject of marketplace globalization. Beyond the theoretical contributions, this research provided, for the first time, a multidimensional scale for measuring how individuals acquire and become a part of the emerging GCC (acculturation to the GCC, or AGCC). This paper (1) reviews the debates surrounding the effects of globalization on consumer behavior, (2) summarizes the extant applications of the AGCC framework and its constituents across numerous settings, and (3) outlines an agenda for future research on GCC.
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 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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.010 | 0.018 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".