Migration, Boundaries and Differentiated Citizenship: Contested Frameworks for Inclusion and Exclusion
Bibliographic record
Abstract
Contemporary migration across borders is beset by contradictory pressures and challenges. Some borders remain relatively open, especially for potential immigrants with valued skills and assets or for humanitarian reasons, but in many other cases borders are becoming increasingly more regulated or impermeable. The differential capacities for mobility that accompany these developments are contributing to new categories and hierarchies of citizenship and belonging which are being shaped by and exacerbate significant social, economic and political inequalities. This editorial highlights core relationships that have emerged in the process of regulating geographical and social boundaries in different national contexts, focusing on the intersections between dynamics of social inclusion and exclusion and the construction of differential categories of citizenship. The editorial establishes a framework for the articles that follow in this thematic issue, emphasizing the contested, fragmented, variable and highly uneven nature of borders and citizenship regimes.
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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.032 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".