Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article considers two questions: (1) Do democratic states have the right to deport non-citizens present or residing on their territory? (2) And, if so, what principles should guide deportation in democratic states? The overall objective is to offer an account of what deportation should look like in a liberal democratic state. I begin by situating the practice of deportation in larger discussions of the extent of state discretion in controlling both borders and membership; here, I will argue that potential deportees occupy an awkward middle space, i.e. it is not clear whether they should be treated according to the principles that regulate discretion at the border or discretion in admitting migrants to membership. I then consider more deeply whether deportation can be rendered non-arbitrary, or whether it is bound to remain unjustly applied; where it cannot be rendered non-arbitrary, it must be rejected, or so I shall argue. To be non-arbitrary, the practice of deportation must meet three criteria: a publicity criterion, a justification criterion, and a collective interest criterion. In the final section of the article, I disentangle deportation into its component parts – I distinguish just cause for deportation from just action in deportation – and consider how the criteria that stem from a commitment to non-arbitrariness constrain its application to non-citizen residents. The consequence of requiring deportation to be applied, if at all, in a non-arbitrary way is that there will certainly be cases where liberal democracies find themselves unable to deport those who might otherwise be thought eligible for deportation. Ultimately, I conclude that deportation from liberal democratic states can be fair only in a small number of cases.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it