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Record W3187842119

Opening the Gates of the Pak Mun Dam: Fish Migrations, Domestic Water Supply, Irrigation Projects and Politics

2020· article· en· W3187842119 on OpenAlexfundno aff
Ian G. Baird, Kanokwan Manorom, Aurore Phenow, Sirasak Gaja‐Svasti

Bibliographic record

VenueGriffith Research Online (Griffith University, Queensland, Australia) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of AlbertaCargill FoundationMargaret A. Cargill FoundationUniversity of Wisconsin-Madison
KeywordsPoliticsFisheryFish <Actinopterygii>IrrigationBusinessWater resource managementPolitical scienceEnvironmental planningGeographyNatural resource economicsEnvironmental scienceEconomicsEcologyBiologyLaw
DOInot available

Abstract

fetched live from OpenAlex

The Pak Mun Dam on the Mun River in Ubon Ratchathani Province in northeastern Thailand has long been one of the most controversial hydropower projects in Southeast Asia. The environmental and social impacts associated with blocking important fish migrations between the mainstream Mekong River and the Mun River Basin are particularly well known. Fishers, non-governmental organisations and academics have advocated for opening the gates of the dam either year-round or at least for an extended period, and especially at the beginning of the rainy season when a large number of fish migrate upstream. Crucially, however, the damʼs gates are not always opened at the beginning of the rainy season as required by previous agreements. Water management issues associated with opening the Pak Mun Dam have become increasingly complex and fraught because of additional challenges relating to the construction of new infrastructure such as irrigation dams on tributaries, and because of an increasing demand for piped domestic water to supply urban dwellers in Ubon Ratchathani City. In this paper, we adopt a political ecology approach to examine the present economic, ecological and political circumstances associated with the management of the Pak Mun Dam, including the trade-offs associated with different possible management decisions.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.114
GPT teacher head0.360
Teacher spread0.247 · 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.

Study designObservational
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

Citations15
Published2020
Admission routes1
Has abstractyes

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