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Record W4231174474 · doi:10.1002/047147844x.wr223

Water Pricing

2004· other· en· W4231174474 on OpenAlexaff
Steven Renzetti

Bibliographic record

VenueWater Encyclopedia · 2004
Typeother
Languageen
FieldEngineering
TopicWater resources management and optimization
Canadian institutionsBrock University
Fundersnot available
KeywordsWater pricingValue (mathematics)Water qualityWater supplyEconomicsWater resourcesNatural resource economicsPotable waterBusinessWater resource managementWater conservationEnvironmental scienceEnvironmental engineeringComputer science

Abstract

fetched live from OpenAlex

Abstract The price of water is measured by the value of the economic resources that must be sacrificed to acquire potable water. In many cases, this price is easily understood as the number of dollars and cents that must be paid to obtain a specific volume of water. In other cases, often in low‐income countries, the price of water is best understood as the combination of out‐of‐pocket expenses plus the time required for travel to and from a water source. The purpose of this article is twofold. First, it describes the nature and range of water prices around the world. Second, it explains the significance of the price of water for decisions regarding the supply of water and the demand for water. The article concludes that, despite the potentially important role of water prices, a lack of attention to water pricing has been a major contributing factor to worldwide problems of water allocation and water quality.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.081
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0040.004

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 head0.169
Teacher spread0.164 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2004
Admission routes1
Has abstractyes

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