What Does a Nation Owe Non-Citizens?
Bibliographic record
Abstract
In this article we test the effects of national attachments (patriotism and chauvinism) and perception of threat on citizens' willingness to concede citizenship rights to immigrants in France, Germany (West and East), the USA and Israel. Our findings show that despite marked differences in countries' migration policies and conceptions of nationhood, no significant differences were found in attitudes towards the allocation of citizenship rights to immigrants. Furthermore, our analysis suggests that contrary to our expectations, 1) the effects of both chauvinism and patriotism on willingness to grant citizenship rights to immigrants were rather low in Germany and Israel — the two ethno-national states, and strongest in France and the USA — which stand for republican and multicultural models of incorporation, respectively; 2) the effects of threat on exclusion of immigrants from citizenship rights was weaker in Israel (ethnic democracy) but stronger in the liberal democratic countries. In the conclusion, we suggest possible explanations for these rather intriguing and paradoxical findings.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".