Citizenship, Migration, and the Nation–State: Exploring UK Policy Responses to Romanian and Bulgarian Migration
Bibliographic record
Abstract
Questions of citizenship and nationhood have increasingly gained prominence given the internationalisation of employment, especially with respect to the free movement of workers within the EU. Scholar Rogers Brubaker has suggested that an absence of a strong identity as a nationstate and the lack of an established national citizenship have contributed to “the confused and bitter politics of immigration and citizenship during the last quarter-century” in Britain. This legacy continues to this day. For instance, on the fi rst of January 2014, migration and employment restrictions on Romanians and Bulgarians were lift ed, provoking mass public outcry in the UK. In a recent poll, three quarters of respondents expressed concern about the possible infl ux of Romanians and Bulgarian migrants. Playing on populist fears, London mayor Boris Johnson quipped: “We can do nothing to stop the entire population of Transylvania – charming though most of them may be – from trying to pitch camp at Marble Arch”. British ministers have even considered launching a negative publicity campaign in Bulgaria and Romania to dissuade migrants, highlighting the dreary weather and lack of job opportunities in Britain.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.003 |
| 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".