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
Abstract Are the predictors of anti-immigration attitudes consistent across countries with diverse immigration histories and policies? We hypothesize that the key predictors of opposition to immigration are indeed relatively consistent across industrial nations. We test this hypothesis with two surveys using probability samples of German citizens. We then compare our findings with those obtained in recent studies of immigration opinions in Europe generally, and in two of the world's leading immigration-receiving nations: Canada and the United States. Striking similarities emerge in the findings across structural, demographic, contact, economic, political, personality, and threat predictors. Opposition to immigration is routinely found strongest among the older and less-educated segments of the population who live in areas with anti-immigration norms and little contact with immigrants. Anti-immigration attitudes also correlate with political conservatism and alienation, economic deprivation, and especially with authoritarianism, social dominance orientation, and perceived collective threat.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.031 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.005 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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