‘Without water, there is no life’: Negotiating everyday risks and gendered insecurities in Karachi’s informal settlements
Bibliographic record
Abstract
This article provides new insights into the politics of water provisioning in Karachi’s informal settlements, where water shortages and contaminations have pushed ordinary citizens to live on the knife edge of water scarcity. We turn our attention to the everyday practices that involve gendered insecurities of water in Karachi, which has been Pakistan’s security laboratory for decades. We explore four shifting security logics that strongly contribute to the crisis of water provisioning at the neighbourhood level and highlight an emergent landscape of ‘securitised water’. Gender maps the antagonisms between these security logics, so we discuss the impacts on ordinary women and men as they experience chronic water shortages. In Karachi, a patriarchal stereotype of the militant or terrorist-controlled water supply is wielded with the aim of upholding statist national security concerns that undermine women’s and men’s daily security in water provisioning whereby everyday issues of risk and insecurity appear politically inconsequential. We contend that risk has a very gendered nature and it is women that experience it both in the home and outside.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.041 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.002 |
| 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".