Violence, Amnesty and Transitional Law: “private” Acts and “public” Truth in South Africa
Bibliographic record
Abstract
Abstract Whereas amnesty is generally associated with impunity and denial, in South Africa, amnesty was pulled into the reach of justice and reconciliation. This article assesses the extent to which South Africa's amnesty fulfilled these normative goals. It centers on the difficulty of differentiating between “private” acts and “political” crimes deserving of amnesty. It argues that the determination of political crimes obfuscated the full extent of apartheid violence and responsibility for it. Consequently, the amnesty process produced a truncated “truth” about apartheid violence that was insufficient to the task of overcoming the past. This is in part an intractable problem embedded in the conflicting tasks of transitional law. The lesson of hope that South Africa offers to other transitional nations is that amnesty should be wound into the promises of democracy without creating false expectations of reconciliation or simplistic truths about the past.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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".