Living the past? Do historical legacies moderate the relationship between national chauvinism/cultural patriotism and xenophobic attitudes toward immigrants
Bibliographic record
Abstract
This study seeks to understand how national chauvinism and cultural patriotism are related to xenophobic attitudes toward immigrants. It does this by examining the extent to which historical legacy, in terms of geopolitical threats and national identity, moderates this relationship. A multilevel analysis across 24 European countries combines measures of national chauvinism, cultural patriotism, and xenophobic attitudes at the individual level with historical data, the geopolitical threat scale, and the national identity longevity index at the country level. Findings demonstrate that, according to these measures, historical legacies of threats and conflicts do not have an interaction effect, but the longevity of national identity moderates the relationship between national chauvinism/cultural patriotism and xenophobic attitudes. That is, in countries with greater national identity longevity, the positive relations between national chauvinism and xenophobic attitudes are weaker, but the negative relations between cultural patriotism and xenophobic attitudes are stronger. These findings contribute to the understanding of national identity by suggesting how it is related to a nation’s historical legacy.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".