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Record W22742215 · doi:10.1021/ac00253a705

Conflict Resolution Support System: A Software for the Resolution of Conflicts in Water Resource Management

2003· article· en· W22742215 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAnalytical Chemistry · 2003
Typearticle
Languageen
FieldComputer Science
TopicAI-based Problem Solving and Planning
Canadian institutionsnot available
FundersInstitute for Catastrophic Loss Reduction
KeywordsResolution (logic)Conflict resolutionResource (disambiguation)Computer scienceConflict managementSoftwareResource management (computing)BusinessEnvironmental resource managementKnowledge managementProcess managementPolitical scienceEnvironmental scienceArtificial intelligenceDistributed computingOperating system

Abstract

fetched live from OpenAlex

Water is an important factor in conflicts among stakeholders at the local, regional, and international level. Water conflicts have taken many forms, but they almost always arise from the fact that the freshwater resources of the world are not partitioned to match the political borders, nor are they evenly distributed in space and time. Sharing a limited water resource by several stakeholders can create conflicts among them when their requirements exceed availability. In such situations, water allocation based on a traditional optimization or simulation modeling may not resolve the dispute among them due to the lack of their participation in the solution process. Direct involvement of the stakeholders in the conflict resolution process provides for a better understanding of the conflict and offers a significant opportunity for its resolution.\nA systemic approach has been taken in this research to approach resolution of conflicts over water. By helping stakeholders to explore and resolve the underlying structural causes of conflict our approach offers a significant opportunity for its resolution. We define the five main functional activities for assisting the conflict resolution process as: (i) communication; (ii) problem formulation; (iii) data gathering and information generation; (iv) information sharing; and (v) evaluation of consequences. A computerized technical support is developed in the form of the Conflict Resolution Support System (CRSS) for implementation of a systemic approach to water conflicts. The CRSS includes computational modules necessary to resolve conflicts resulting from water shortages in irrigation, drinking water supply, and hydropower generation and flood control. Its principal components include an artificial intelligence-based communication system, a database management system, and a model base management system.\nThe use of CRSS is demonstrated through its application to three types of water sharing conflicts. The CRSS is developed as a tool to assist a conflict resolution process and a tool for training stakeholders in the conflict resolution process.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.977
Threshold uncertainty score0.353

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 head0.023
GPT teacher head0.246
Teacher spread0.223 · 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