Ethnic Diversity and Generalized Trust in Europe
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
While most current research documents a negative relation between ethnic diversity and generalized trust, it has to be acknowledged that these results often originate from one-country analyses in North America. In this article, attitudinal measurements from the European Social Survey are combined with Organization for Economic Co-Operation and Development data on migration patterns, thus examining the relationship between diversity and trust in a comparative manner across 20 European countries. More fine-grained measurements of diversity (including type and rise of diversity over time and legal status of immigrants) are included in a multilevel model. At the individual level, most of the familiar relations were confirmed. At the country level, hardly any indicators for migration or diversity proved to be strongly and consistently related to generalized trust. Results suggest that the pessimistic conclusions about the negative effects of ethnic diversity on generalized trust cannot be confirmed at the aggregate level across European countries.
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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 | 0.000 | 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 | 0.002 | 0.002 |
| 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 it