Arts and Sports in South Africa: Alternative Post-conflict Peacebuilding Tools for Positive Peace
Bibliographic record
Abstract
This paper explores the effectiveness of arts and sports programs in the construction of positive peace in South Africa after Apartheid. It does so by collecting information on different arts and sports programs carried out by government and non-government organizations which take place in different cities and townships located in three of the main provinces of the country: Gauteng, Western Cape and KwaZulu Natal. I documented the impact of arts and sports programs in the construction of positive peace. To measure the contribution of these programs I used social cohesion as an indicator of peacebuilding. I argue that although arts and sports programs are effective in promoting social cohesion within communities of the same race, they fail to encourage social cohesion among communities of different races. The existing economic divide of social classes in South Africa contributes to the lack of social integration between black and white South Africans. Hence, in order to promote social cohesion at a national level, it is imperative to breach the economic inequality gap which is entrenched in the existent racial divide from the Apartheid era.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".