Moral economies for water: A framework for analyzing norms of justice, economic behavior, and social enforcement in the contexts of water inequality
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Over the past two decades, scholars have invoked E. P. Thompson's and James Scott's concept of a “moral economy” to explain how people mobilize notions of justice to make claims to water. We draw together 20 years of literature to assess the state‐of‐the‐art present in research on moral economies for water. We trace the historical foundations of the moral economies concept and its relevance to water; define the three basic components of a moral economy for water—(1) shared understandings of justice, (2) normative economic practices, (3) social pressure mechanisms—and provide examples of how they manifest globally. We then discuss how moral economies for water can cycle through four basic states—balanced struggle, intensified reaction, mass revolt, and collapse and dissolution—at different scales. We also explore the implications of the moral economies framework for key areas of current research on water: water sharing, water commons, water markets, and biocultural outcomes, and discuss the ways in which the moral economies framework dovetails with recent advances in water research, especially the economics of water and development. We argue that the moral economies framework is a powerful explanatory tool for understanding the relationships between ideas of water justice, economic behaviors, and mechanisms of social enforcement that complements other methodological approaches and theoretical perspectives. We envision moral economies for water as a field that can facilitate a range of norm‐based analyses of economic behavior and water justice, including across scales—from local to global—and in broad, integrative, multiscalar, and cross‐disciplinary ways. This article is categorized under: Human Water > Water Governance Human Water > Value of Water Human Water > Rights to Water
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 it