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Household willingness‐to‐engage in water quality projects in western Newfoundland and Labrador: a demand‐side management approach

2008· article· en· W2127007924 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

VenueWater and Environment Journal · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsWillingness to payDimension (graph theory)Demand sideQuality (philosophy)Consumption (sociology)Household incomeLogitWater qualityBusinessAgricultural economicsMixed logitWater consumptionEnvironmental economicsLogistic regressionEconomicsGeographyWater resource managementEnvironmental scienceSociologyEcologySocial science

Abstract

fetched live from OpenAlex

Abstract This paper aims to measure household willingness‐to‐engage (WTE) in municipal water quality projects. A cross‐sectional logit model is specified as a function of socio‐demographic, socio‐economic, water consumption and conservation, and public awareness in western Newfoundland and Labrador. WTE is a new provision of the demand‐side management approach that incorporates an ecological economics dimension to water use. The results show that the levels of education and annual family income have positively affected households' decisions to get involved in the municipal water quality projects. In addition, the degree of public awareness has a significant impact on shaping the households' decisions.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.582

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 head0.109
GPT teacher head0.212
Teacher spread0.104 · 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