Bibliographic record
Abstract
The pressures of globalization have resulted in shrinking distances and increased contact among people, rendering state boundaries and jurisdiction insufficient to deal with claims of justice exclusively. This challenge requires that we move beyond the limits of statism in political theorizing and acquire a cosmopolitan approach. In this article, from a discourse theoretic perspective, I consider what cosmopolitan justice would entail for policy and law-making concerning immigration. It is argued that: (1) from a moral point of view we cannot consider the problem of migration solely from the perspective of the people of affluent countries and have to take into account the perspective of the refugees, asylum seekers, and immigrants; (2) the growing interdependency of global economies gives rise to a moral obligation to assist the immigrants with special duties devolving upon the First World as the result of the history of colonization; and (3) the immigration law ought to be integrated into higher, or constitutional, law-making. In doing so, the discourse theoretic approach decouples national sovereignty (territorial integrity) and democratic polity, overcoming the problem of prioritization of geography over claims of membership.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.055 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.004 |
| 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".