Homeward Bound? Global Mobility and the Role of the State of Nationality During the Pandemic
Bibliographic record
Abstract
The international law of mobility has by and large been focused on the question of immigration. Its emphasis has therefore been on what I will call, for convenience's sake, the host state. It is there that some of the most intense dilemmas around the question of mobility have arisen in a context of populism, xenophobia, and racism. The state of nationality is not invisible in that context, but this has not typically been the primary variable in trying to understand and assess the normative challenges of global mobility. The COVID-19 pandemic, however, has refocused attention on distinct patterns of mobility, particularly return mobility, of nationals to their country of origin as well as limitations on leaving that country in the first place. The state of nationality has increasingly been asked to mediate demands for security and public health that are extra-territorial and that implicate its nationals in sometimes far-flung locations. I argue that the pandemic is a further opportunity to shift attention onto the state of nationality as a locus of key decisions concerning transnational mobility and thus to rebalance our sense of what goes into the global “mobility equation.”
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.029 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| 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".