A Politics of Mobility and B/ordering in a Changing Riverscape in Cambodia
Bibliographic record
Abstract
Hydropower development taking place on the Mekong River's mainstream and tributaries across the river basin, including Cambodia, is threatening livelihoods and food security by altering critical mobilities associated with the unique ecosystems of the Mekong River. In this paper, we seek to understand how a politics of mobility around hydropower development links both human and nonhuman entities along the Mekong River in Cambodia. We examine how dams transform myriad localized cross-border and riparian political geographies of the physical-human landscape through partial enclosures, up-downstream reorderings and b/orderings of hydrosocial relations. To explain these transformations, we posit that it is necessary to pay attention to the politics of human and nonhuman (such as water, sediment, and fish) mobilities that are shaped by hydropower dams and the new forms of mobilities engendered as a result. We examine how hydropower development renders water, fish, and sediment immobile, or alters their routes and rhythms in ways that optimize the generation of hydropower but which create new concerns around these changing nonhuman mobilities for riparian communities in Cambodia. There is a tension that exists between technical representations and community experiences of these nonhuman mobilities, which raise implications for the exacerbation of vulnerabilities among Cambodian Mekong communities. In this paper, we focus our analysis on selected sites in Cambodia: 1) Stung Treng Province, downstream of Laos' Don Sahong Dam and the Cambodia-Lao border riverscape, and 2) the Tonle Sap Lake (water-based and floodplain areas), to highlight these changing mobilities and the critical processes of b/ordering.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".