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Record W2909741143 · doi:10.1177/1087724x18822587

Percent Change as a Measure of Price Escalation in Water and Energy Utilities

2019· article· en· W2909741143 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePublic Works Management & Policy · 2019
Typearticle
Languageen
FieldEngineering
TopicWater resources management and optimization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMeasure (data warehouse)PortfolioUnit priceEconomicsMetric (unit)Simple (philosophy)EconometricsEnergy (signal processing)Unit (ring theory)Computer scienceMicroeconomicsOperations managementFinancial economicsStatisticsMathematics

Abstract

fetched live from OpenAlex

We advance the idea of using percent billing changes as a simple measure of price escalation. This simple yet underused metric may help evaluate rate structure design in public utilities. We illustrate how price escalation may generate useful insight for utility managers by analyzing rate structures from water utilities in British Columbia, Canada. We observe that increasing block rates may send weaker relative price signals to users than a simple constant unit charge, and that low volume users tend to receive the strongest relative price signals. Measuring price escalation may also allow one to quantify the distortions generated by fixed charges. We conclude that analysts may find it useful to include measures of price escalation in their portfolio of metrics to evaluate rate structures in energy and water utilities.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.601
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.011
GPT teacher head0.189
Teacher spread0.178 · 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