Bibliographic record
Abstract
One of the most striking features of the international refugee regime as it has evolved over the last quarter century is the proliferation of labels. Rather than simply assessing the circumstances of applicants against the Convention refugee definition, the governments of most developed states have instead invented a seemingly endless list of alternative statuses - "B" status, humanitarian admission, temporary protected status, special leave to remain, Duldung, and the like. Persons assigned one of these labels have generally been protected against refoulement in line with Article 33 of the Refugee Convention. But in a variety of other ways, they have not been treated as refugees. They have, in particular, faced limits on freedom of movement, the ability to earn a livelihood, and access to education and general social support systems. Most critically, there has been a near-universal association of alter-native status with non-permanent presence. While refugees are by and large granted "asylum" - understood to entail an enduring right to remain in, or to be enfranchised by, the host country - the beneficiaries of alternative forms of protection have usually been admitted instead to what is commonly called "temporary" protection. That is, they are not granted an indefinite right to remain, but are instead allowed to stay in the host state for the duration of the risk in their country of origin.
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 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.015 |
| Scholarly communication | 0.016 | 0.025 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.025 | 0.014 |
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".