Water resilience lessons from Cape Town's water crisis
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
Abstract In the aftermath of the acute water crisis, building resilience in the water sector has become a priority for the City of Cape Town. In this piece, I discuss several emerging lessons from Cape Town's experience and their implications for water resilience more broadly. While having avoided “Day Zero,” Cape Town has also demonstrated how unprepared many municipalities might be as they face growing variability and uncertainty in the hydrologic cycle. Second, Cape Town's experience also signals the limits of conventional demand and supply paradigms that focus on high efficiency and overallocation of water resources. Furthermore, Cape Town's deeply unequal waterscape and acutely divisive politics are among the most important factors that shaped not only how the crisis unfolded, but also the ability of governance systems to respond in a timely and adequate manner. This article is categorized under: Engineering Water > Planning Water Human Water > Water Governance
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.016 |
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