Health and foreign policy: influences of migration and population mobility
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
International interest in the relationship between globalization and health is growing, and this relationship is increasingly figuring in foreign policy discussions. Although many globalizing processes are known to affect health, migration stands out as an integral part of globalization, and links between migration and health are well documented. Numerous historical interconnections exist between population mobility and global public health, but since the 1990s new attention to emerging and re-emerging infectious diseases has promoted discussion of this topic. The containment of global disease threats is a major concern, and significant international efforts have received funding to fight infectious diseases such as malaria, tuberculosis and HIV/AIDS (human immunodeficiency virus/acquired immune deficiency syndrome). Migration and population mobility play a role in each of these public health challenges. The growing interest in population mobility's health-related influences is giving rise to new foreign policy initiatives to address the international determinants of health within the context of migration. As a result, meeting health challenges through international cooperation and collaboration has now become an important foreign policy component in many countries. However, although some national and regional projects address health and migration, an integrated and globally focused approach is lacking. As migration and population mobility are increasingly important determinants of health, these issues will require greater policy attention at the multilateral level.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 it