The Meeting of Myths and Realities: The “Homecoming” of Second-Generation Exiles in Post-Apartheid South Africa
Bibliographic record
Abstract
This article is based on the findings of a qualitative study of second-generation exiles, who were born in exile and/ or spent their formative years in exile during apartheid. It is based on in-depth interviews with forty-seven men and women who spent their childhoods in North America, Western Europe, Eastern Europe, West Africa, East Africa, and southern Africa as second-generation exiles during apartheid. This article will focus on the tensions that arose over the myths and realities of return, in what often became dashed expectations of returning to a welcoming, free, and progressive post-apartheid South Africa, politically and socially united around key liberation principles. It will also discuss the manner in which the experience and memory of exile influenced former second-generation exiles’ perceptions of their roles as agents of change in post- apartheid South Africa—roles that were often adopted in the name of an ongoing liberation struggle.
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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 | 0.013 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.022 | 0.044 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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".