Bibliographic record
Abstract
This chapter explores the consequences of war for water security and insecurity. It maps out and analyses four main ways in which war matters for water: through infrastructure destruction; through population displacement; through the expropriation of resources and infrastructures; and through war’s profound if mostly indirect ramifications for state-building and development. Empirically, the chapter draws on evidence from across the divided environments considered in this book, including the ongoing wars in South Sudan, Syria and Lake Chad, the 2003–5 Darfur war, recent Israeli wars on Gaza and key historical conflagrations such as the 1948–9 Arab-Israeli war. The chapter argues through all of this that war is deeply contradictory, being simultaneously highly destructive and highly productive in its water security consequences. And it argues that this is likely to remain the case in an era of climate disruption: while, for some, war is likely is have sharply negative climate vulnerability consequences, it is nonetheless also the case, the chapter shows, that adaptive capacities are often founded on infrastructures and hierarchies of political violence.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.198 | 0.081 |
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".