The Missing Side of Acculturation: How Majority-Group Members Relate to Immigrant and Minority-Group Cultures
Bibliographic record
Abstract
In many countries, individuals who have represented the majority group historically are decreasing in relative size and/or perceiving that they have diminished status and power compared with those self-identifying as immigrants or members of ethnic minority groups. These developments raise several salient and timely issues, including (a) how majority-group members’ cultural orientations change as a consequence of increasing intercultural contact due to shifting demographics; (b) what individual, group, cultural, and socio-structural processes shape these changes; and (c) what the implications of majority-group members’ acculturation are. Although research across several decades has examined the acculturation of individuals self-identifying as minority-group members, much less is known about how majority-group members acculturate in increasingly diverse societies. We present an overview of the state of the art in the emerging field of majority-group acculturation, identify what is known and needs to be known, and introduce a conceptual model to guide future research.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".