Dilemmas in Representation: Immigration, Identity, and Political Parties
Bibliographic record
Abstract
Abstract As global migration continues to intensify, legislatures in liberal democracies increasingly feature policymakers with direct experiences with immigration. Concurrently, scholars often argue that electoral accountability creates incentives to appeal to public opinion, which in the context of immigration policymaking favors restrictions over admission. In this paper, we study these competing dynamics among these immigrant legislators. We theorize that political institutions—particularly political parties—impede the sincere expression of legislative preferences among legislators that come from immigrant backgrounds. To begin, we present stylized facts about legislative behavior drawing on roll-call votes from the Canadian, British, and American legislatures. Drawing on 25 in-depth interviews with representatives, we find strong evidence that the threat of political party sanction and individual concerns about legislators’ own parties affects legislative decision-making. These findings contribute to our understanding of legislative accountability and highlight how the trend of increasing immigration to democratic polities does not directly translate to political representation.
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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 | 0.001 | 0.001 |
| 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) | 0.000 | 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".