The Will to Integrate: South Africa's Responses to Regional Migration from the SADC Region
Bibliographic record
Abstract
Abstract This paper surveys frameworks of labour migration in southern Africa and determines South Africa's policy responses to inflows of migrants from seven neighbouring countries. Legislations, policy reports and scientific publications on migration were thoroughly reviewed and interviews and correspondence with key policymakers were conducted. Statistical analyses of data on foreign worker recruitments and permits issued by South Africa's Department of Home Affairs were also performed. The absence of a migration protocol in southern Africa suggests SADC Members have not implemented the African Union's migration policy basic guidelines. Two systems coexist in southern Africa that complicate migration governance: a South Africa‐managed bilateral migration policy, and aspirations for a formal SADC‐managed migration policy. Bilateral agreements between South Africa and neighbours have established a labour migration system that dims prospects for a regional migration policy. SACU Members could establish a two‐tier policy to achieve free movement while maintaining managed migration policy outside SACU. An official multilateral migration governance mechanism would serve SADC better than the current ad‐hoc measures.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".