The Structure of Prejudice and Its Relation to Party Preferences in Belgium: Flanders and Wallonia Compared
Bibliographic record
Abstract
We test two assumptions of the generalized prejudice literature. First, that the structure of generalized prejudice (i.e. how prejudices are interrelated) is dependent on the intergroup context. Second, that different types of prejudice have similar political consequences and run via the generalized prejudice component. We perform these tests in the two main regions of Belgium - Flanders and Wallonia - and investigate the influence of differences in the history of immigration, experience of the linguistic and autonomy conflict, and the separate party system and political discourse (i.e. the societal and intergroup context) on these premises. We make use of the Belgian Election Panel (BEP) data that included measures of prejudice toward multiple target groups (immigrants, Flemings, Walloons, homosexuals, and Jews) and voting propensities for the main political parties. Our results show that, regardless of the differences in intergroup experiences, the structure of prejudice is identical in Flanders and Wallonia. Flemings are, however, more tolerant toward homosexuals and immigrants than Walloons. The political context and the set of potential political outlets does play an important moderating role in the translation of prejudices to party preferences: While negative attitudes toward the other regional group seem to divide the electorate in Flanders, it does not affect voting intentions in Wallonia. Anti-immigrant prejudice is crucial in both regions, but affects voters in different ways at the right-side of the political spectrum.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".