Not a voluntary, sustainable, or scalable outcome: Resilience in urban settings of fragility in sub-Saharan Africa
Bibliographic record
Abstract
This article focuses on urbanization in settings of fragility, addressing the research question of how new and older settlers manage natural resource use and competition in increasingly urbanizing settings of fragility. Based on two case studies of intermediary sub-Saharan African cities, we find that new and older settlers demonstrate everyday resilience in managing their shared compounded, persistent precarity. This precarity involves constant difficulty in securing water amidst three larger contextual forces: urban poverty, absence of inclusive governance and transparent and fair distribution, and a dynamic landscape of interventions by multiple actors to cope with this precarity. We further find that this resilience was somewhat efficacious in mitigating against the rise of major violence between new and older settlers, though this efficacy may well be highly contingent. We draw on these findings in arguing that resilience may not be a voluntary, sustainable, or scalable solution to increasing urban fragility. Alternative conceptual and practical approaches are finally outlined.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".