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Record W1579148505

THE UNCERTAIN UNCERTAINTY OF RIVER BASINS: ACCOUNTING FOR UNCERTAINTY IN INTEGRATED WATER RESOURCES MANAGEMENT (IWRM)

2013· article· en· W1579148505 on OpenAlexaff
Sarah Allen

Bibliographic record

VenueEuropean Scientific Journal ESJ · 2013
Typearticle
Languageen
FieldEngineering
TopicWater resources management and optimization
Canadian institutionsBalsillie School of International AffairsUniversity of Waterloo
Fundersnot available
KeywordsIntegrated water resources managementTransparency (behavior)Corporate governanceAccountabilityWater resourcesEnvironmental resource managementDrainage basinDistribution (mathematics)Environmental planningBusinessEnvironmental scienceComputer sciencePolitical scienceGeographyMathematicsEcology
DOInot available

Abstract

fetched live from OpenAlex

Integrated Water Resources Management was officially established under the 1992 Dublin Principles. A set of standard principles was thought to be the ‘state-of-the-art’ solution to problems of ensuring good management, governance, distribution, and usage across the world. Therefore, this ‘perfect’ solution has become a leading discourse in water governance and management. However, current water related problems leave the Principles unrealistic and too idealistic for real success. Without responding to the lack of transparency and accountability, IWRM will not have the capacity to manage uncertainty in the future as global environmental changes continue. Following a case study from the Mekong River Basin, this paper will discuss how IWRM does not accurately account for issues of uncertainty in the water system and provides a plausible solution to this problem.

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)0.003
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.945

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.011
GPT teacher head0.198
Teacher spread0.186 · 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 designSimulation or modeling
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
Published2013
Admission routes1
Has abstractyes

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