Revocation of Citizenship and Rule of Law: How Judicial Review Defeated Britain's First Denaturalization Regime
Bibliographic record
Abstract
Over the past decade, the United Kingdom has deprived an increasing number of British subjects of their citizenship. This policy, known as “denaturalization,” has been applied with particular harshness in cases where foreign-born subjects have been accused of terrorist activity. The increase is part of a global trend. In recent years, Canada, Australia, France, and the Netherlands have either debated or enacted denaturalization statutes. But Britain remains an outlier among Western democracies. Since 2006, the United Kingdom home secretary has revoked the citizenship of at least 373 Britons, of whom at least 53 have had alleged links to terrorism. This is more than the total number of revocations by Canada, France, Australia, and Netherlands combined. These developments are troubling, as the right to be secure in one's citizenship has been a cornerstone of the postwar European liberal political order, and of the international community's commitment to human rights.
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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 | 0.060 | 0.110 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.014 |
| Scholarly communication | 0.020 | 0.006 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.013 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".