‘Winning Back Control’: Migration, Borders and Visions of Political Community
Bibliographic record
Abstract
This article focuses on the governance of migration and borders as key issues of Brexit in a dual sense: as a contested political issue centrally fueling the Brexit debates and as an area of policy formation. First, the article addresses how Brexit has changed free movement as a key principle of the European integration project and transformed cross-border mobility between the European Union (EU) and the UK in a post-Brexit European border regime. Second, it discusses how the politicization of migration during the Brexit campaign has accentuated competing visions of political community. With a view to the effects of Brexit on the governance of migration and borders in Europe, the article demonstrates how the Brexit debates have emphasized the prominence of exclusionary nationalism, while they have simultaneously created new opportunities for the EU to launch a major reform of its migration and asylum policies.
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.068 |
| Scholarly communication | 0.016 | 0.012 |
| Open science | 0.001 | 0.017 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".