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Record W2038695677 · doi:10.1504/ijw.2005.007158

Water governance and water users in a privatised water industry: participation in policy-making and in water services provision: a case study of England and Wales

2005· article· en· W2038695677 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

VenueInternational Journal of Water · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRestructuringCorporate governanceWater industryBusinessPrivate sectorWater sectorGovernment (linguistics)Investment (military)EconomicsWater supplyFinanceEconomic growthPolitical scienceEngineeringPolitics

Abstract

fetched live from OpenAlex

This paper examines how individuals can influence decisions about the delivery of water services in England and Wales. It first examines the capacity of individuals to shape government policy and then turns to an analysis of the private sector. In particular, we ask whether recent restructuring in the water sector – notably changes in business models and governance structures – has increased the opportunity for individuals to influence the investment decisions made by private firms and their plans for restructuring. The paper concludes that privatisation and restructuring have had a limited impact on an individual water user's capacity to influence decision-making. Water users remain dependent on penetrating state-controlled lobbying networks via sanctioned pressure groups. Recent changes in ideas about governance might have a much more significant impact on user participation in the future.

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 score0.400
Threshold uncertainty score0.999

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 communication0.0000.001
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 head0.013
GPT teacher head0.321
Teacher spread0.308 · 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