475 Contemporary challenges for health and migration in a world on the move – the role of research
Bibliographic record
Abstract
Abstract WKS 34: Contemporary challenges for health and migration in a world on the move – the role of research, B309 (FCSH), September 5, 2025, 11:30 - 12:30 Background and Objectives The global changes that have been occurring in recent years have caused significant changes in migration flows and have directly or indirectly impacted the health of both immigrants and local populations. This roundtable, developed by the Migration Health and Development Initiative (MHADRI), seeks to bring together researchers who can offer a broad overview of current challenges in terms of health and migration. The objectives are to share how to ensure that research impacts policy in a meaningful way and how to continue to perform collaborative research across borders in the face of uncertainty. Workshop Plan Discussants will share the powerful evidence from bibliometric analysis on research production in health and migration and highlight how it can meaningfully impact policy, share key research in migration movements in the global South, discuss the importance of early career researcher development and emphasize the need for a network of experts in health and migration to face contemporary challenges. Participants will be engaged in the discussion to share best practices. Main Messages Collaboration in migration health research across borders, both national and in in terms of disciplines, is necessary in order to face the challenges of a world on the move.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.044 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.010 | 0.024 |
| Scholarly communication | 0.028 | 0.017 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".