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Record W2062597171 · doi:10.4296/cwrj2503293

A Multiple Case Study of Community-Based Water Management Initiatives in New Brunswick

2000· article· en· W2062597171 on OpenAlexvenueaboutno aff
Ryan Plummer, Cynthia Stacey

Bibliographic record

VenueCanadian Water Resources Journal / Revue canadienne des ressources hydriques · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityIntegrated water resources managementEnvironmental resource managementSustainable developmentResource (disambiguation)Domain (mathematical analysis)Resource management (computing)BusinessProcess managementWater resourcesEnvironmental planningComputer sciencePolitical scienceGeographyEconomicsEcology

Abstract

fetched live from OpenAlex

Sustainable development is based on a search for strategies compatible with social values, economic feasibility and ecosystem integrity. In the domain of water, integrated resource management is widely recognized as a strategy to sustainability as reflected in the Canadian Water Resources Association’s Sustainability Principles. Central to furthering this recognition as well as the acceptance and implementation of integration in water management is the examination of contemporary institutional experience. This paper uses a multiple case study methodology to examine the contribution the community-based organizations make to integrated water management in the province of New Brunswick. A comprehensive framework of integration indices with a broad spectrum of management elements provides guidance for the examination and analysis of five provincial cases. We conclude that the five organizations have adapted critical elements of integration to varying degrees and that their experience generally confirms observations and theories regarding the implementation of integrated resource management.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.427

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0120.003
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.242
Teacher spread0.220 · 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 designQualitative
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

Citations7
Published2000
Admission routes2
Has abstractyes

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Same venueCanadian Water Resources Journal / Revue canadienne des ressources hydriquesSame topicEnvironmental and Social Impact AssessmentsFrench-language works237,207