Workshopping Water Justice: linking struggles from the Cape Flats to the rest of the Continent
Bibliographic record
Abstract
Drawing insight and inspiration from our comrade Aziz Choudry, in this paper, we explore the role of political education and knowledge making in social movement struggles to contest the state and capital around access to water and other public services. Drawing on a decade of organising work in the city of Cape Town and at wider scales, we highlight the importance of learning and knowledge generation in social movements and the everyday strategies of organising movements use to overcome divisions based on ‘race’, gender, class and nationality, and to confront those obstacles presented or exacerbated by exclusionary governance arrangements, commodified service delivery and the coercive apparatus of the state. Rejecting elite led organising in favour of working-class self-organisation, these strategies seek to build individual and organisational solidarity across the diverse and fragmented experiences of those living on the margins of capitalist society.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".