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Record W4379053743 · doi:10.3389/frsus.2023.1177574

The water pivot: transforming unsustainable consumption to valuing water as a resource for life

2023· article· en· W4379053743 on OpenAlex
Bryony M. Bowman, Ian Abbott-Donnelly, Jean-François Barsoum, Peter J. Williams, Dexter V. L. Hunt, C. D. F. Rogers

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

VenueFrontiers in Sustainability · 2023
Typearticle
Languageen
FieldEngineering
TopicWater resources management and optimization
Canadian institutionsIBM (Canada)
FundersEngineering and Physical Sciences Research Council
KeywordsEnvironmental economicsResource (disambiguation)SanitationConsumption (sociology)Water useEquity (law)Intergenerational equityPrioritizationNatural resource economicsWater conservationValue (mathematics)Environmental degradationScale (ratio)BusinessWater resourcesWater supplyEconomicsEnvironmental resource managementEnvironmental scienceSustainabilityComputer scienceGeographyEnvironmental engineeringManagement scienceEcologySociology

Abstract

fetched live from OpenAlex

Water is a resource essential for all life and on which society depends but undervalues. This paper presents theories on methods to pivot from linear, extractive uses of water to considering water as a high value, circular resource. Analysis of the literature, which is primarily focused at the abstractor scale, has highlighted the prioritization of human water rights over environmental needs without incorporating the ramifications of environmental degradation and the complexities of applying a market-driven approach to a heterogeneous resource particularly at the domestic consumer level. A discussion of the relationship between society and water, in particular mechanisms that have been used to reduce water consumption, highlights the complexity of this issue and the need to consider fairness and equity at the global and local scales. A comparison of global, urban water supply and sanitation costs shows the extensive variation in the amounts of water consumed and the prices paid at the domestic consumer scale. Finally, a series of hypotheses are presented that, with local development, testing and refinement, are posited to bring about change in the value society places on water.

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)0.001
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 score0.732
Threshold uncertainty score0.471

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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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