South-South Mobilities, Pandemic Precarities and Remittance Narratives
Bibliographic record
Abstract
Abstract The COVID-19 pandemic has been referred to as a great disruptor of global migration leading to a crisis of immobility caused by public health lockdowns, closed borders and the suspension of visa processing. Layoffs and retrenchments of migrant workers led to widespread hardship and an intensification of pre-pandemic precarity, as well as disrupted remittance channels and flows. Against this backdrop, the chapter provides an overview of current debates about the relationship between COVID-19 and international migration in the context of South-South migration. We assess how pre-pandemic South-South migration flows were disrupted by the pandemic and the evidence for a crisis of immobility. We advocate use and measurement of the new concept of ‘pandemic precarity’ to draw attention both to the negative impacts of the pandemic on migrants and the ways in which pre-pandemic vulnerabilities were exacerbated by COVID-19. Finally, the chapter focuses on the paradox of increased remittances despite a reduced capacity to remit.
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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 | 0.004 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".