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Record W6982572020

Interactive management of international river basins; Experiences in Northern America and Western Europe

2000· article· en· W6982572020 on OpenAlexaboutno aff

Bibliographic record

VenueRePub (Erasmus University Rotterdam) · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
FundersErasmus Universiteit RotterdamEuropean CommissionWayne State UniversityWorld Bank Group
KeywordsCommissionTreatyWork (physics)Modernization theoryInternational watersJoint (building)Western europe
DOInot available

Abstract

fetched live from OpenAlex

This paper deals with the experiences of international water commissions with a more interactive way in dealing with society and water system. The first experiences with co-operation in international institutions between water managers already started many centuries ago. For the river Rhine it formally began in 1885 with agreements on navigation and fishery, for the border waters of the United States and Mexico with a border treaty in 1889 and for the boundary waters of the United States and Canada the first international agreement was signed in 1909. In recent years, an intensivation of co-operation can be observed, which brings new challenges for water managers. The ecosystem approach from the International Joint Commission and the integrated starting point as well as the participation of stakeholders in the work of the International Commission on the Protection of the Rhine, can be seen as promising examples of the modernisation of international water management. They are part of a development to "international interactive water 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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0140.010
Scholarly communication0.0060.004
Open science0.0010.009
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 head0.018
GPT teacher head0.285
Teacher spread0.268 · 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 designNot applicable
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

Citations0
Published2000
Admission routes1
Has abstractyes

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