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Record W2777241338 · doi:10.3178/hrl.11.194

Water pricing conflict in British Columbia

2017· article· en· W2777241338 on OpenAlexafffundabout
Amanda Garcia, Keith W. Hipel, Amer Obeidi

Bibliographic record

VenueHydrological Research Letters · 2017
Typearticle
Languageen
FieldDecision Sciences
TopicGame Theory and Applications
Canadian institutionsCentre for International Governance InnovationBalsillie School of International AffairsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGovernment (linguistics)Conflict resolutionSustainabilityOrder (exchange)Conflict analysisCommodificationPolitical scienceBusinessEnvironmental economicsEconomicsLawEconomyFinance

Abstract

fetched live from OpenAlex

The Water Sustainability Act in British Columbia, Canada is a source of conflict among citizens, the provincial government, and industrial groundwater users. The water extraction fees stipulated in the act highlight the issue of water commodification and its potential legal consequences. Complementary approaches for conflict analysis are used to study this emerging conflict in order to gain valuable strategic insights. Analysis is performed using the Graph Model for Conflict Resolution, a flexible methodology for analyzing and modelling conflicts. In addition, generalized metarationalities and metarational trees, which account for the role and influence of policies in decision-making, are used to explore possible resolutions of the conflict. The analyses show that the current situation, where protesters lobby the government but the fees are not increased, is an equilibrium and thus unlikely to change.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.595

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.006
Science and technology studies0.0090.003
Scholarly communication0.0070.001
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.312
GPT teacher head0.470
Teacher spread0.158 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations15
Published2017
Admission routes3
Has abstractyes

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