Tony Suze's reflections on the importance of sport in the struggle to end Apartheid
Bibliographic record
Abstract
For 15 years, Tony Suze was a political prisoner on South Africa's notorious Robben Island. He was one of the driving forces behind a campaign to obtain the right to play football (soccer) and he helped to create an organized league that met all the requirements of FIFA, the international governing body for the sport. Football was much more than just a game for the prisoners – it was one of the ways in which they confirmed their dignity as individuals and asserted their right to run at least a part of their lives despite the brutal conditions of the prison. It was a way they trained themselves to participate in governing South Africa and it was one of the few times they could enjoy something they did on the Island. Tony's first time outside of South Africa (a conference in Toronto) gave him the opportunity to give a personal account of how sport on Robben Island helped pave the way to the creation of a free, democratic, and non-racist South Africa.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.017 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.008 | 0.016 |
| Insufficient payload (model declined to judge) | 0.008 | 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".