Silences of the Dam: The Intimate Geographies of Ethnic Lao Well-Being on the Sesan River
Bibliographic record
Abstract
In the locales where hydropower dams in the Mekong River Basin have been constructed, ethnically and economically marginalized groups who depend on rivers and their tributaries for well-being often bear the greatest burdens: loss of fisheries and river-based livelihoods, riverbank gardens, and sacred sites, to name a few. In December 2018, the controversial Lower Sesan 2 Dam in northeastern Cambodia started operations, exacerbating old challenges and creating new ones for the riverine communities along the Sesan and Srepok Rivers. In this article, I employ a feminist political ecology framework to explore the varying ways that personal and community well-being are impacted in two ethnic Lao locales of Sre Kor (Na Kor in Lao language) commune and Phluk village as a result of the Lower Sesan 2 Dam. While the dam has disrupted flows of water and fish habitats and migrations, rendering new ecological circumstances, I argue that infrastructural violence can variably hide intimate geographies of well-being and un-wellness. Only by interrogating the silences of intimate geographies of the body and home in local villages and communal ethnic spaces will such impacts of violence become visible.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.019 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| 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".