East-South Globalisation and Africa-India Migrations: Developing a New Research Agenda
Bibliographic record
Abstract
Abstract This chapter examines the ways in which the contemporary economic and political relationships between the continent of Africa and India tied to the East-South centred globalisation have transformed migration trends across these geographies. Following a similar trajectory as China, India has actively sought to build up trade and business linkages with numerous African countries since 2002 using strategies such as the India-Africa Summits. These reconfigured relationships have forged the broad and generative conditions for the deepening of short- and long-term migrations across India and various African countries. Preferential visa regimes are key components of these latest transnational and transregional arrangements. Using available statistics, our analysis underscores the growth and diversification of migratory flows between India and the African continent. Based on a critical assessment of studies on these migrations, we additionally identify existing gaps and offer important directions for future research endeavours. The continuities and discontinuities between the old and new migrations are briefly examined.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".