Reconciliation: The South African Truth and Reconciliation Commission’s contribution to dealing with the past, reconciling and building the nation
Bibliographic record
Abstract
International experience has shown that addressing past human rights violations is a necessary step in the process of reconciliation and nation building. How was post-apartheid, democratic South Africa to deal with its past human rights violations? Would it go the way of retribution in order to settle the scores of the past? Would it go the way of blanket amnesty in the name of political expediency and ignore the fate of its victims? The Promotion of National Unity and Reconciliation, Act 34 of 1995, which established the TRC envisaged that national unity and reconciliation could be promoted by determining the extent, and the fate and whereabouts of the victims, of such human rights violations; giving opportunity for story-telling; recommending reparations and measures to prevent future violations; and by providing a full report. In order to do so the Commission had the power to grant amnesty to those making such disclosures. This article, while not uncritical of the Commission, is generally positive about its contribution both in attempting to deal with the past, and in building a democratic, human rights and restorative justice culture based on the rule of law. It examines the definitions of reconciliation that emerged during the Commission in the light of a Christian definition where reconciliation is seen to be between God, others and self, and involves integration with the human community. This integration involves taking responsibility for the past, confession and repentance, forgiving and being forgiven, making restitution where possible, ongoing transformation in the present and hope for the future.
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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 | 0.045 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.021 | 0.025 |
| Scholarly communication | 0.020 | 0.016 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.018 | 0.022 |
| Insufficient payload (model declined to judge) | 0.004 | 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".