Climate Gating: A Case Study of Emerging Responses to Anthropocene Risks
Bibliographic record
Abstract
This article explores responses to one type of climate risk, severe water scarcity, during Cape Town’s drought from 2016 to mid-2018. Advancing our understanding of how societies can cope and develop despite disruptions, it considers how selected pathways shaped noteworthy response diversity to mitigate the impact and potential harms associated with the unprecedented drought. Enhancing capacity through off-grid alternatives, private responses led to the emergence of innovative arrangements, at extraordinary scales, to adaptively secure variants of household level water access and reserves while expanding general reserve margins. Unintended consequences of nascent off-grid capacity arrangements precipitated transformations and accommodation challenges to public governance systems. We relate these observations to emerging trends in ‘off-grid’ provision of goods by non-state actors, seen in other fields, a phenomenon we call ‘climate gating’. These observations highlight what is and what is not potentially safeguarded by such decentralised and polycentric responses.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".