Neoliberal Globalization of Services Now Includes Nursing
Bibliographic record
Abstract
In response to rising nursing vacancies, many high-income countries are turning to low-income countries to recruit nurses into their healthcare systems, a process that has exacerbated global health inequities. This review challenges the dominant neoliberal worldview of achieving economic prosperity through a largely unregulated free market at the expense of population health – instead suggesting that high-income country governments should implement alternative local solutions rather than reinforce global health disparities through the exploitation of migrant nurses. In fact, increased nursing vacancies in high-income countries are the result of domestic nurse retention crises, not nurse shortages. The primary drivers of migration of nurses from low-income countries to high-income countries include remuneration, security, career prospects and job satisfaction. The Global South faces a collapse of healthcare systems due to scarcity and maldistribution of nurses, while nurses who relocate face exploitation in their receiving high-income country. The reliance of high-income countries on recruitment of nurses from low-income countries is an unsustainable mechanism for global healthcare.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".