The State and Water Resources Development through the Lens of History: A South African Case Study
Bibliographic record
Abstract
This article sets contemporary challenges to good water governance in South Africa within an important historical context. While it is correct to say that 'the world water crisis is a crisis of governance', it is problematic to assume that all states can follow a similar path toward environmentally sustainable, economically efficient and socially equitable water resources governance and management. The nexus of decision-making power varies within and beyond states, and over time. Gramsci (1971) describes this as the "constellation of social forces". Where this constellation of social forces achieves consensus, a 'historic bloc' is said to emerge giving rise to a particular state form. The South African state form has varied greatly over several centuries, giving rise to various historic blocs. The resulting body of laws and policies and the varied forms of infrastructure that were developed to harness water for multiple social practices over time constitute a complex political ecological terrain not easily amenable to oversimplified frameworks for good water governance. This article outlines the role of water in the history of South Africa’s multiple state forms. It shows that over time, water policy, law and institutions came to reflect the increasingly complex needs of multiple actors (agriculture, mining, industry, cities, the newly enfranchised) represented by different state forms and their characteristic political regimes: the Dutch East India Company; the British Empire; the Union of South Africa; the apartheid and post-apartheid republics. Authoritarian, semi-authoritarian and democratic state forms have all used central-state power to serve particular interests. Through time, this constellation of social forces has widened until, today, the state has taken upon itself the task of providing "some water for all forever" (slogan of the Department of Water Affairs). As this article suggests, despite the difficult challenges presented by a mostly arid climate, this means 'adding in' the water demand of millions of people, but not 'allocating out' those privileged under other constellations of social forces as they contribute most substantially to economic growth. The implication, therefore, is a modified hydraulic mission involving significant new infrastructure and, in all likelihood, inter-basin transfers from beyond South Africa’s borders.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".