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Record W4394939239 · doi:10.5509/2024972-art4

In and Out of Plain Sight: Interrogating Power in the Mekong Riverscape

2024· article· en· W4394939239 on OpenAlexvenueno aff
Andrew Alan Johnson, Akarath Soukhaphon

Bibliographic record

VenuePacific Affairs · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSightMekong riverGeographyMekong deltaWater resource managementGeologyEnvironmental sciencePaleontology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.901
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.299
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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