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Record W2007691456 · doi:10.3126/hn.v15i0.11291

Freshwater Scarcity and Sustainable Water Management in the Hindu Kush-Himalayan (HKH) Region

2014· article· en· W2007691456 on OpenAlexfundno aff
Pabitra Gurung, Tashi Yang Chung Sherpa

Bibliographic record

VenueHydro Nepal Journal of Water Energy and Environment · 2014
Typearticle
Languageen
FieldEngineering
TopicWater resources management and optimization
Canadian institutionsnot available
FundersUniversity of Northern British ColumbiaMcGill University
KeywordsWater scarcityScarcityClimate changeWater resourcesContext (archaeology)GeographyNatural resource economicsWater resource managementPopulation growthPopulationWater useEnvironmental resource managementAgricultureEnvironmental scienceEnvironmental planningEcologyEconomicsSociologyBiology

Abstract

fetched live from OpenAlex

Water is essential for every life on the earth and for many forms of socioeconomic development activity. Freshwater scarcity is a major issue in the developing world in terms of human consumption and irrigation. Water is not evenly distributed therefore some regions (particularly in South Asia and Africa) will experience intensified water scarcity in coming years. The stressors on water are population growth and climate change. These stressors are exacerbated by poor management and policy on the part of ruling governments. Climate change is of keen interest as it will impact water availability in unpredictable ways. In this context, it is essential to develop efficient adaptive tactics (e.g., water storage) to anticipate these changes. The paper, then, will look into the global scenario of water demand, as well as examine regional conflicts that may become worse under the stress of water scarcity.DOI: http://dx.doi.org/10.3126/hn.v15i0.11291HYDRO Nepal JournalJournal of Water, Energy and EnvironmentVolume: 15, 2014, JulyPage: 42-47

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.873
Threshold uncertainty score0.330

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 studies0.0000.000
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 head0.004
GPT teacher head0.143
Teacher spread0.139 · 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

Citations11
Published2014
Admission routes1
Has abstractyes

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