From the Inside Out: The Coercive Power of Deportation and the Erosion of the Liberal Democratic State
Bibliographic record
Abstract
Abstract Deportation is the expulsion of a non-citizen from the territory of a state by force or coercion. Largely because it is perceived to be a necessary extension of the state’s immigration power, deportation carries the same prerogative force, benefits from the same sweeping ambit of executive discretion and is subject to the same diminished scrutiny. Deportation is, however, a distinct legal phenomenon. Present on state territory, deportees are simultaneously subject to the state’s laws by virtue of their territorial presence and excluded from the state’s liberal democratic values of legality and fundamental rights by virtue of their status. Deportation practices create spaces inside the state where these values do not reach. As a ‘spectacular state power’ that acts inside the state, deportation bears a higher justificatory burden. The failure of states to adequately discharge this justificatory burden interrupts the integrity of legality on the inside and erodes their liberal democratic character.
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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.074 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| 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".