Squeezed between Land and Water: Rupture, Frontier-Making, and Resource Conflicts at Cambodia’s Lower Sesan 2 Hydropower Dam
Bibliographic record
Abstract
Hydropower dam projects in the Lower Mekong Basin are part of long-term and interactive land and water transformations, displacement, and violence. Within these ongoing processes, dams represent intense and adverse episodes of disruption that escalate nature-society transformations. Drawing on research at Cambodia’s Lower Sesan 2 Hydropower Dam (LS2 Dam), we examine how such episodes of nature-society rupture catalyze new waves of frontier-making and mobility that further intensify land and resource struggles.1 In this ethnically diverse landscape, the abrupt hydrological changes caused by the LS2 Dam have escalated land struggles among various ethnic groups, especially migrants intent on claiming land and water resources, and Indigenous/minority groups displaced by the dam. We show how historical relations with land and socio-political marginalization by the state have produced differentiated opportunities, risks, and frictions among the four main ethnic groups present in this landscape: Indigenous Bunong, Lao, Cham, and Khmer. The LS2 Dam case shows how nature-society rupture reifies frontier dynamics by disrupting existing land/water relations, which precipitates in-migration, new resource claims, and associated conflict along ethnic lines.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".