Bibliographic record
Abstract
Abstract A prominent theory of political obligation argues that, to avoid the dangers of statelessness (basic needs deprivation, rights violations, and political disenfranchisement) people should establish, maintain, and obey states. This theory underwrites a statist ideal that presents states as the primary guarantors of justice and democracy. I challenge this statist ideal, arguing that statist institutions are ill-equipped to provide full justice, especially for stateless people. I argue that statelessness is a product of the state system’s structure and that eliminating the dangers of statelessness therefore requires challenging the core organising principles of the state system. I conclude that stateless people have broad prima facie moral permissions to resist the state system’s constitutive norms, practices, and institutions; that others may have obligations to support their efforts; and that addressing the dangers of statelessness requires resisting rather than obeying statist institutions. I also offer a corrective to the literature on refugees’ political obligations, illuminating how even obedience to a relatively just state or camp authority can uphold a state system that is unjust overall. I examine these issues in conversation with empirical scholarship on stateless people’s activism, like Hong Kong’s ‘Refugee Occupy’ movement.
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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.065 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".