Bibliographic record
Abstract
The fluidity of transboundary waters perfectly represents contemporary challenges to modern governance. This book offers conceptual and empirical support for the idea that the human relationship with water must move beyond rationalist definitions of water as product, property, and commodity. Depending on context, water may be a security issue, a gift of nature, a product of imagination, or an integral part of the natural or cultural ecology. The contributors represent a range of disciplines, including anthropology, law, environmental analysis, political science, and social ecology. Included are case studies of the Imperial and Mexicali valleys on the U.S.-Mexico border, parks and rivers in Zimbabwe, salmon in the Pacific Northwest, the Yellowstone to Yukon Conservation Initiative, Lake Constance in Central Europe, the Black Sea, and the Inguri River between Azerbaijan and Georgia. Contributors Joachim Blatter, Joseph F. DiMento, Pamela M. Doughman, Paula Garb, María Rosa García-Acevedo, David McDermott Hughes, Helen Ingram, Suzanne Lorton Levesque, Richard Perry, Kathleen M. Sulllivan, John M. Whiteley
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 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 | 0.001 | 0.002 |
| 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 | 0.010 |
| Scholarly communication | 0.006 | 0.011 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".