The Don Sahong Dam in Laos: Political Ecology, Infrastructure, and the Changing Spatialities of Impacts on Fish and People
Bibliographic record
Abstract
The Don Sahong Hydropower Project (DSHPP), located in the Khone Falls area of Khong District, Champasak Province, southern Laos, near the border with Cambodia, has been amongst the most controversial hydropower dams in the Mekong River Basin. Despite considerable regional and international opposition, the dam was finally constructed, becoming commercially operational in 2020. In 2011, I expressed serious concerns about the project's potential impacts on long-distance migratory fish and associated fisheries, especially fish that migrate from Cambodia and Vietnam up the Mekong River to Laos and Thailand. However, my concerns have somewhat changed along with the circumstances, although they continue to focus on dam impacts on migratory fish. I am now particularly concerned about the indirect impacts of the DSHPP on the fishing livelihoods in the Khone Falls area, and the impacts of the dam on fish larvae and fish passing through the dam's turbines when migrating downstream. Using a political ecology approach, this paper considers how infrastructure, in this case a large hydropower dam located on the Mekong River, has altered the spatialities associated with the project in particular ways.
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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 | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".