Getting the Resilience Right: Climate Change and Development Policy in the ‘African Age’
Bibliographic record
Abstract
Founded on a call to place climate change adaptation and climate risk management at the heart of contemporary development practice, the World Bank’s Africa Climate Business Plan presents an ambitious agenda for coordinating $19bn of loans, grants and investment over the coming decade. The centrepiece of this recasting of development thinking is the notion of resilience, which ties together the various activities proposed under the Plan. Resilience must respectively be strengthened, empowered and enabled in order for African countries to withstand climate change impacts. In this paper we subject this new climate-resilient development discourse to critical scrutiny. Using the theoretical lens of post-politics, we caution how the ill-defined category of resilience is deployed to reinforce a profoundly depoliticising agenda in which climate change is posited as an external threat to an otherwise seamless narrative of African advancement. In so doing, we illustrate how the Bank obscures the contested histories of African development and uses the discourse of climate-resilient development to perpetuate its neoliberal agenda within the continent.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.025 |
| Scholarly communication | 0.009 | 0.014 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.008 |
| 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".