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Record W1991861042 · doi:10.1080/0003684042000218570

Is all domestic water consumption sensitive to price control?

2004· article· en· W1991861042 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueApplied Economics · 2004
Typearticle
Languageen
FieldEngineering
TopicWater resources management and optimization
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsEconomicsProxy (statistics)Depreciation (economics)Consumption (sociology)EconometricsWater consumptionConsumption functionMicroeconomicsFunction (biology)Measure (data warehouse)Agricultural economicsEnvironmental scienceProduction (economics)MathematicsWater resource managementComputer scienceStatisticsProfit (economics)

Abstract

fetched live from OpenAlex

This paper presents a model of residential water demand based on the Stone–Geary utility function, which explicitly considers a threshold of water that is insensitive to price and a quantity that can adapt instantaneously to price changes. First, the threshold is assumed constant, being then allowed to vary according to past levels of consumption, a proxy for households' water-using equipment and habits. A measure of the depreciation rate of habits is derived and the effectiveness of price and non-price conservation measures are compared. The results provide useful policy recommendations for the studied case of Seville (Spain).

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.

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 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 score0.578
Threshold uncertainty score0.999

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)0.0000.002

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 head0.008
GPT teacher head0.183
Teacher spread0.174 · 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