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Record W4324375451 · doi:10.1111/gec3.12685

Beyond state politics in Asia's transboundary rivers: Revisiting two decades of critical hydropolitics

2023· article· en· W4324375451 on OpenAlexaff
Sarah Rogers, Zali Fung, Vanessa Lamb, Ruth Gamble, Brooke Wilmsen, Fengshi Wu, Xiao Han

Bibliographic record

VenueGeography Compass · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsYork University
FundersAustralian Research CouncilUniversity of Melbourne
KeywordsPoliticsState (computer science)Climate changeGeographyPolitical scienceWork (physics)Scale (ratio)Plateau (mathematics)Regional scienceCartographyGeologyLawEngineeringComputer science

Abstract

fetched live from OpenAlex

Abstract For the past two decades, work across a range of fields, but particularly geography, has engaged ‘critical hydropolitics’ as a way to highlight not only the politics inherent in decisions about water, but also the foundational assumptions of more conventional hydropolitical analyses that tend to focus on conflicts and cooperation over water resources, with a heavy emphasis on ‘the state’ as the key actor and scale of analysis. In this article we review critical hydropolitical literature that focuses on transboundary rivers that descend from the eastern Tibetan Plateau, namely the Lancang‐Mekong, Yarlung Tsangpo‐Brahmaputra and Nu‐Salween river basins. We highlight five key and interrelated themes that have emerged in the literature to date ‐ the state, scale, infrastructure, knowledge and logics, and climate change ‐ and discuss how these provide useful tools for more fine‐grained analyses of power, control and contestation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.005
Science and technology studies0.0050.057
Scholarly communication0.0130.019
Open science0.0010.005
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.322
Teacher spread0.303 · 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 source (direct Gemma or distilled Codex), 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

Citations19
Published2023
Admission routes1
Has abstractyes

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