Social movements as learning spaces: the case of the defunct Anti-Privatisation Forum in South Africa
Bibliographic record
Abstract
ABSTRACT Social movements often become spaces for learning, although this type of learning has been overlooked by activists and scholars alike. Analysing the case of the collapsed Anti-Privatisation Forum (APF), the article submits that the APF was not only an organisation that challenged privatisation, but also a learning space for activists from middle-class and working-class backgrounds. Non-formal educational platforms, such as political education workshops, organisational and practical skill training sessions and campaigns organised by the APF and its partner organisations, were instrumental in transferring skills to community-based activists. After the demise of the APF, its activists applied the skills and competences they had acquired to continue advancing social and economic justice in other organisations. Furthermore, community-based activists educated middle-class activists about the conditions of working-class communities and the challenges of building working-class movements in post-apartheid 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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.020 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".