Neoliberalism in question: The Philippines' nurse education and labour export as liberal neo‐statist development agenda
Bibliographic record
Abstract
Abstract Many scholars have used neoliberalism as an analytical framework to examine the Philippines' labour export policy. While neoliberalism entails a retreat of the state in favour of market reforms, evidence shows that state intervention of the market becomes larger and stronger over time. This paper utilises liberal neo‐statism as an alternative framework to understand the Philippines' nurse labour export by explaining that the state's role is larger than and goes beyond labour brokerage. Following the historical institutionalism approach, we show the significant timing, sequence, and path dependence that affect the emergence of institutions that govern the Philippines' nurse labour export. Our paper reveals how specific policies and regulations in labour export are tucked within the disguise of market reforms, but which are manifest within a larger state's control. These policies serve as the state's apparatus for remittance generation and protection of migrant labour rights and welfare.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".