Resilience counter-currents: Water infrastructures, informality, and inequities in Cape Town, South Africa
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In 2017 and 2018, Cape Town faced historically unprecedented water shortages. With the imminent possibility of running out of water, the city’s leadership prioritized reducing water demand and expanding new water sources, while also reinvigorating the goal of seeking to build system-level water resilience for the longer term. Beyond the context of Cape Town, the crisis captured global attention, highlighting ongoing and future water security challenges, the realities of climate change, and the critical need to foster transitions towards more resilient water futures. Given that much of the discourse and implementation around water resilience remains squarely focused on the biophysical and engineering aspects of water supply and distribution systems, despite repeated calls for the need for greater attention to issues of equity and power, there remains little understanding of the ways that persistent inequities might serve or inhibit possibilities for urban socio-hydrological (or water) resilience. This paper draws on examples from Cape Town to argue that patterns and legacies of inequality, marginalization, and exclusion erode and inhibit possibilities for water resilience. Providing needed empirical evidence on the nature of these linkages, we theorize that deeply rooted inequities and related dynamics act as “counter-currents”—trends that undermine and present persistent challenges to efforts to enhance socio-hydrological resilience. Documenting examples of disconnections between the state and civil society as well as disconnected socio-ecological systems, we argue that these persistent inequities mean that efforts to achieve socio-hydrological resilience are likely to remain elusive. It is only by foregrounding these processes that it will be possible to make cities more resilient in the face of ongoing and future water-related risks, uncertainties, and climatic and environmental change.
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.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it