The neoliberal and nationalist normative contestation on migration in Africa: Insights from Ghana, Kenya and South Africa
Bibliographic record
Abstract
This article advances the notion of the global-local normative conditioning of anti-immigrant sentiments based on a grounded theory investigation of pro- and anti-immigrant sentiments in six cities across Ghana, Kenya and South Africa. Participants’ normative positions in each of these are similar, and mirror the migration discourses of the global nationalist and neoliberal normative communities. However, they differ given that, contrary to historical anecdotes, stronger nationalist currents were observed among the Ghanaian than the Kenyan and South African participants. In accounting for this puzzle, this article shows that whereas high levels of immigration to Ghana coincide with the ascendance of the global nationalist migration norm today, the peak in immigration to Kenya and South Africa predates this global context, occurring at the height of the neoliberal hegemony. Hence, the article argues that while local factors remain important, migration sentiments have global ideational roots since norms highlight problems and prescribe behaviours.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".