Bibliographic record
Abstract
Are democratic states permitted to denationalize citizens, in particular those whom they believe pose dangers to the physical safety of others? In this article, I argue that they are not. The power to denationalize citizens—that is, to revoke citizenship—is one that many states have historically claimed for themselves, but which has largely been in disuse in the last several decades. Recent terrorist events have, however, prompted scholars and political actors to reconsider the role that denationalization can and perhaps should play in democratic states, in particular with respect to its role in protecting national security and in supporting the global fight against terror more generally. In this article, my objective is to show that denationalization laws have no place in democratic states. To understand why, I propose examining the foundations of the right of citizenship, which lie, I shall argue, in the very strong interests that individuals have in security of residence. I use this formulation of the right to respond to two broad clusters of arguments: (1) those that claim that it is justifiable to denationalize citizens who threaten to undermine the safety of citizens in a democratic state or the ability of a democratic state to function as a democratic state, and (2) those that claim that it is justifiable to denationalize dual citizens because they possess citizenship status in a second country that is also able to protect their rights.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.042 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".