What Motivates the Gatekeepers? Explaining Governing Party Preferences on Immigration
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
Most scholarship on immigration politics is made up of isolated case studies or cross‐disciplinary work that does not build on existing political science theory. This study attempts to remedy this shortcoming in three ways: (1) we derive theories from the growing body of immigration literature, to hypothesize about why political parties would be more or less open to immigration; (2) we link these theories to the broader political science literature on parties and institutions; and (3) we construct a data set on the determinants of immigration politics, covering 18 developed countries from 1987 to 1999. Our primary hypothesis is that political institutions shape immigration politics by facilitating or constraining majoritarian sentiment (which is generally opposed to liberalizing immigration). Our analysis finds that in political systems where majoritarianism is constrained by institutional “checks,” governing parties support immigration more strongly, even when controlling for a broad range of alternative explanations.
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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 | 0.001 | 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) | 0.000 | 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