Bibliographic record
Abstract
Scholarship on human mobility typically references ‘migration’ uncritically in the concept of the territorial nation‐state. This scholarly practice is problematic because it understates human mobility and ‘migrant’ identities at non‐national scales, reproduces the nation‐state as an ontological category vis‐à‐vis human mobility, and stifles the imagination of mobility in ways that are de‐linked from the territorial nation‐state. In this article, I build on the existing literature in geography and other disciplines to first elaborate on the link between ‘migration’ and the nation‐state in research on human mobility. Then, I destabilise this link by exploring the contradictions of the role of ‘migration’ in contemporary settler societies and ethnic nations, and by discussing the examples of No Border politics and recent feminist writing on the global intimate. Finally, I illustrate how critical practice can engage in the formation of new subject identities and facilitate transformative action.
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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 | 0.031 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.030 | 0.169 |
| Scholarly communication | 0.021 | 0.022 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".