In and Out of Plain Sight: Interrogating Power in the Mekong Riverscape
Bibliographic record
Abstract
The Mekong River has long conjured images of power: cascading waterfalls, impenetrable rapids, and pervading spirits. But power is always malleable and shifting, a fact not lost on the human and nonhuman agents who live with the river and its tributaries. Rises and drops in water levels that once fluctuated in accordance with the seasons have now become beholden to the electricity needs of urban centres like Bangkok: a shift from watershed to powershed. The emerging techno-political realities of the Mekong give rise to new ways of seeing and managing the river, often at the cost of long- held local understandings and configurations of power. The recent boom in hydropower development in the Mekong Basin has been alarming, and rapid change has had adverse impacts on the riparian peoples who depend on the river for their livelihoods. Despite the countless negative social and ecological impacts from dams, especially on the mainstream Mekong, hydropower investments and construction continue. New hegemonic scales and configurations of power have emerged in the Mekong Basin, but older local ones have not simply disappeared. Rather, power shifts in and out of plain sight. In this special issue, we trace the flows, scales, and reconfigurations of power from the management of Mekong water flows and the financing of hydropower projects through to the ruptures and (un) intended consequences of hydropower dam projects on living human and nonhuman worlds in the region. Through a multi-scaled and multi-sited lens, we bring to light emerging worlds in the Mekong Basin.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.014 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".