Bibliographic record
Abstract
An examination of anti–water privatization movements in the United States and Canada that explores the interplay of the local and the global. Attempts by local governments to privatize water services have met with furious opposition. Activists argue that to give private companies control of the water supply is to turn water from a common resource into a marketized commodity. Moreover, to cede local power to a global corporation puts communities at the center of controversies over economic globalization. In Contested Water, Joanna Robinson examines local social movement organizing against water privatization, looking closely at battles for control of local water services in Stockton, California, and Vancouver, British Columbia. The movements in these two communities had different trajectories, used different tactics, and experienced different outcomes. Robinson analyzes the factors that shaped these two struggles. Drawing on extensive interviews with movement actors, political leaders, and policymakers and detailed analysis of textual material, Robinson shows that the successful campaign in Vancouver drew on tactics, opportunities, and narratives from the broader antiglobalization movement, with activists emphasizing the threats to local democracy and accountability; the less successful movement in Stockton centered on a ballot initiative that was made meaningless by a pre-emptive city council vote. Robinson finds that global forces are reshaping local movements, particularly those that oppose neoliberal reforms at the municipal level. She argues that anti–water privatization movements that link local and international concerns and build wide-ranging coalitions at local and global levels offer an effective way to counter economic globalization. Successful challenges to globalization will not necessarily come from transnational movements but rather from movements that are connected globally but rooted in local communities.
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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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".