Transformative Water Relations: Indigenous Interventions in Global Political Economies
Bibliographic record
Abstract
This Special Issue of Global Environmental Politics, on water governance, focuses on the disruptive and transformative potential of Indigenous politics for revealing the multiplicity of political economies and enhancing the theory and practice of global environmental politics. In this issue, we unsettle the assumptions of dominant colonial systems of production and exchange (often the starting point for global environmental politics scholars), using water to bring to light the conflicting approaches of settler colonial and Indigenous political economies. With a focus on the settler colonial states of the Global North—specifically, Canada and the United States—the contributing authors interrogate the ways in which different forms of water relations are positioned at the center of conflicting understandings of land, law, and development trajectories. Through analyses of varying forms of water infrastructure, water law, and waterways, and with careful attention to spatial and temporal distances in production and trade systems, the articles curated here examine conflicting legal forms and traditions, upstream and downstream relations, and opportunities for and limits to resistance by affected communities. In a dominant global political economy with increasing distance between sites of extraction, production, consumption, and discard—and even further removed from the financing that underpins these commodity chains—our Special Issue suggests that the acknowledgment and visibility of multiple forms of water relations contribute to reshaping both economies and environmental outcomes.
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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 | 0.005 |
| 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 | 0.012 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".