Bibliographic record
Abstract
Globally, one in eight people lacks access to potable water; more people die from unsafe drinking water than from all forms of violence, including war. A substantial body of research documents that the privatization of water – led by global financial institutions working in collusion with governments and corporations – does not lead to more people gaining access to safe water. In fact, the opposite is true: privatization leads to both higher cost and lower quality water. For the past century, the dominant focus of transnational organizing has been “from the West to the rest,” and the frequent attention to movements in the global North has led to the neglect of transnational linkages between movements. Drawing on fieldwork conducted on three right to water movements that span three continents (North America, South America, and Africa), this paper examines effortsto reclaim the water commons,and how struggles have been driven by grassroots movements demanding that democracy, transparency, and the human right to water are prioritized over corporate profit. As feminist scholars have pointed out, the “standpoint” offered by marginalized actors offers important insights into the operation of systems of power and the strategies of survival and resistance that less powerful actors adopt in order to survive and thrive. This paper explores how transnational movements around water and other basic rights engage with and learn from each other.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".