South–South Migration: What is at Issue?
Bibliographic record
Abstract
Abstract This volume on New Directions on South–South Migration critically examines the trends and dimensions of migration from the perspective of people from the South. It brings together a combination of leading and emerging scholars and practitioners, many of whom were trained or are working in the Global South, to examine the drivers, dynamics and consequences of this increasingly important phenomenon. We explore the economic forces that propel individuals to seek opportunities across borders, examine the social dimensions of this migration and draw attention to how South–South flows and its outcomes are assuming new intricacies tied to rapid global transformations and new challenges, such as climate change and the COVID-19 pandemic. By exploring new areas and themes, the volume presents a new way of conceptualising and understanding South–South migration and provides greater visibility to processes of mobility and immobility that receive scant attention in mainstream, Northern-dominated migration research agenda setting and scholarship. Furthermore, it brings to the fore the voices of scholars from the South in a subdiscipline that for long been dominated by scholars from and in the North.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| 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".