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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".