Does Size Really Matter? On the Relationship between Immigrant Group Size and Anti-Immigrant Prejudice
Why this work is in the frame
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Bibliographic record
Abstract
Group threat theory understands prejudice as a manifestation of the threat, either actual or assumed, that minority groups pose to majority groups. This theory is often operationalized by analyzing the impact of group size on anti-immigrant prejudice. We test this hypothesis with a new dataset documenting 487 effects of group size on prejudice provided in 55 studies. More than half of these results show no relationship and the remainder shows both positive and negative relationships. Three explanations for this divergence are that there are (1) differences in the measurement of prejudice and immigrant group size across studies; (2) differences in the model through which size is hypothesized to lead to prejudice; and (3) differences in the geographic unit of analysis at which these relationships have been considered. Our analyses support the measurement explanation: results vary across studies because they reflect different measures of group size and prejudice.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it