Globalization, contextual threat perception, and nativist backlash: A cross-national examination of ethnic nationalism and anti-immigrant prejudice
Bibliographic record
Abstract
According to critics of globalization, it has ushered in a new era of economic inequality, with some of the biggest “losers” being the majority working classes in advanced capitalist democracies. Economically aggrieved, culturally threatened, and politically excluded, they have become the bedrock of right-wing political parties in much of Europe and the United States. Integral to this phenomenon is the heightened anti-immigrant prejudice espoused by both supporters and leaders of populist movements. The present study investigates a critical issue in this context, one that has been implicitly assumed but relatively understudied: the impact of globalization on xenophobic attitudes among natives. It also examines whether and to what extent globalization moderates the effect of ethnic nationalism on their preferences for restrictive immigration and immigrant assimilation. Findings from multilevel analysis indicate that globalization, as well as the nativist backlash, plays a significant role in directly and indirectly shaping how immigration and immigrants are perceived in host societies.
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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 | 0.003 | 0.004 |
| 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 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| 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".