After Marikana: Rethinking Conflict Resolution in Africa: The South African Case
Bibliographic record
Abstract
This paper applies the Analytical Conflict Resolution School approach to achieve a deeper understanding of South Africa’s post-apartheid era. It argues that South Africa is an example of ‘protracted social conflict,’ because it displays a fundamental communal aspect, evinces a strong ‘human needs’ element, its pre-settlement condition had resulted in strongly authoritarian government, and it displayed a dependency in its foreign relations. While South Africa transcended traditional conflict resolution methodology with its National Peace Accord and Truth and Reconciliation Commission, neither of these processes was seen through to its end and, as a result, the South African conflict resolution process remains in limbo. This is coupled with a rising internal level of strain expressed in racial tension, violence, migration and economic frustration. A way out of this current malaise is the institutionalization of conflict management through its inclusion in the school curricula, the establishment of conflict management systems to deal with lower-level conflicts, and the building of needs-satisfying institutional arrangements throughout the society, enabling government to be more sensitive to the needs of the people.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.036 | 0.025 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".