Moving nurses to cities: On how migration industries feed into glocal urban assemblages in the care sector
Bibliographic record
Abstract
Migration industries include a diverse array of migration-related services provided by the state, commercial agents, humanitarian organisations and migrant social networks. The work performed by this array of providers, both non-state and state actors, includes facilitating, filtering/channelling and constraining migration. As a powerful example of how migration industries work in general, we examine their dynamics in the care sector as part of glocal (care) chains involved in the migration of nurses. The article provides a conceptualisation of the role of the 'migration industry' as part of a changing global business in the field of care work. We direct our attention to the drivers and institutions that facilitate and shape the arrangements of international care mobility and the constitution of glocal urban assemblages. Drawing on three models of nurse migration - bus stop (Philippines-Singapore), two-step (India-Canada) and triple-win (Vietnam-Germany) - we show how the socio-spatial configurations of glocal urban assemblages linked to the three models yield different social integration outcomes for migrant nurses.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".