Labour market regulation as global social policy: The case of nursing labour markets in Oman
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article examines global social policy formation in the area of skilled migration, with a focus on the Gulf Arab region. Across the globe, migration governance presents challenges to multiple levels of authority; its complexity crosses many scales and involves a multitude of actors with diverse interests. Despite this jurisdictional complexity, migration remains one of the most staunchly defended realms of sovereign policy control. Building on global social policy literature, this article examines how 'domestic' labour migration policies reflect the entanglement of multiple states' and agencies' interests. Such entanglements result in what we characterize as a 'multiplex system', where skilled-migration policies are formed within, and shaped by, globalized policy spaces. To illustrate, we examine policies that shape the nursing labour market in Oman during a period when the state aims to transition from dependence on an expatriate to an increasingly nationalized labour force. Engaging a case-study methodology including a survey of migrant healthcare workers, semi-structured interviews and data analysis, we find that nursing labour markets in Oman represent an example of global policy formation due to the interaction of domestic and expatriate labour policies and provisioning systems. The transnational structuring of policy making that emerges reflects a contingent process marked by conflicting outcomes. We contend that Oman's nursing labour market is an example of new spaces where global social policies emerge from the tension of competing national state and market interests.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it