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Record W118060029

The political aspects of institutional developments in the water sector: South Africa and its international river basins

2005· dissertation· en· W118060029 on OpenAlexfundno aff
Anthony Turton

Bibliographic record

VenueUpSpace Institutional Repository (University of Pretoria) · 2005
Typedissertation
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
FundersNew Partnership for Africa's DevelopmentNational Science CouncilNational Intelligence ServiceInternational Development Research Centre
KeywordsAgency (philosophy)InstitutionContext (archaeology)PoliticsAquiferInterbasin transferDrainage basinAbstractionPolitical scienceGeographyWater resource managementSociologyGeologyGroundwaterSocial scienceEnvironmental scienceArchaeologyCartographyLawEpistemology
DOInot available

Abstract

fetched live from OpenAlex

This research set out to develop a deeper theoretical component to the emerging discipline of hydropolitics by studying the political aspects of institutional developments in the water sector. The focal point was the four international river basins that are shared between South Africa and six of its neighbouring states. The study found that while there is a lot of evidence for the securitization of water resource management in South Africa’s international river basins, there are also a number of examples of regimes. The creation of these regimes was driven primarily by threat perceptions relating to state security, mostly during the period of apartheid and the Cold War. These regimes were mostly robust and served as a valuable instrument for the de-escalation of conflict, which was primarily of a high politics nature. Examples of both plus-sum and zero-sum outcomes have been isolated. Plus-sum outcomes arose when the non-hegemonic state chose to view the offer of a regime in terms of national self-interest with four examples of this condition. In all four cases the non-hegemonic state benefited from cooperation with South Africa. Zero-sum outcomes arose when the non-hegemonic state chose to view the offer of a regime in terms of ideology with two examples of this condition. In both cases the non-hegemonic state did not benefit and was sidelined to the extent that they became marginalized and worse off than before. In all cases the hegemonic state benefited from the regime. The research consequently showed that a hydropolitical complex is emerging in Southern Africa, clustered around two international river basins, the Orange and Limpopo, which have been defined as pivotal basins. Both of these basins have reached the limit of their readily available water resources and future development is not possible on any great scale. Four of the most economically developed states in Southern Africa (Namibia, Botswana, Zimbabwe and South Africa) are riparians on these two international river basins, and have been defined as pivotal states. Other less developed countries that share any international river basin with a pivotal state have been defined as an impacted state, because their own development aspirations have been capped through this association. Any international river basin that has at least one of the pivotal states in it has been defined an impacted basin. Finally, this research showed that regimes create a plus-sum outcome in closed international river basins because they reduce the levels of uncertainty and institutionalize the conflict potential. As such regimes are a useful instrument with which to regulate inter-state behavior, leading over time to the development of institutions consisting of rules and procedures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.011
Scholarly communication0.0060.004
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.013
GPT teacher head0.227
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations45
Published2005
Admission routes1
Has abstractyes

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