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 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 | 0.001 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".