Engendered movements: migration, gender and health in a globalized world
Bibliographic record
Abstract
The intensity, density and breadth of contemporary global migration is unprecedented in human history, involving over 220 million people around the world, half of whom are women. In this chapter, the author situates findings from her own research undertaken in Canada, Southeast Asia and Ethiopia within the published literature to illuminate the dynamic and complex interactions of migration and gender _ intersecting with other social markers _ and their impact on health and well-being. In so doing, she strives to articulate the pathways as to how macro- and meso-level phenomena such as neoliberal globalization, constructions of gender and racialized categories, and immigration policies, are implicated in the health and well-being of individuals and communities. This holistic and interactive perspective allows the nuancing of the health outcomes of the engendered movements of individuals, households and communities within and across borders under the conditions of neoliberal globalization that can further contribute to theory, health services, immigration and health policies, and community activism.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".