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Record W2319353658 · doi:10.2166/wp.2016.150

The Columbia River Treaty: the politics and possibilities for change

2016· article· en· W2319353658 on OpenAlexaboutno aff
Patrick Impero Wilson

Bibliographic record

VenueWater Policy · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsTreatyNoticeNegotiationPoliticsScope (computer science)Drainage basinWatershedPolitical scienceDistribution (mathematics)GeographyPublic administrationBusinessLaw

Abstract

fetched live from OpenAlex

International watershed basins shared by two or more states cover nearly half the land surface of the earth and often present complex, interconnected management challenges. The Columbia River basin has long been considered a model case of international watershed management. The fiftieth anniversary of the Canada–United States treaty that governs the basin occurred in 2014, which was also the first year either country could give notice to terminate and request to renegotiate. Stakeholders and interested parties with values shut out of the original negotiations have long advocated for fundamental changes in how the river is managed and operated. Meanwhile, those interests who are the primary beneficiaries of the current system want to limit any changes in terms, operations, and distribution of benefits. This article explores the politics of potential treaty renegotiation and focuses on the institutional permanence of the existing system, demands for ecosystem functions in future system operations, and whether transformational change or incremental adaption is the politically likely outcome.

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)0.013
metaresearch head score (Gemma)0.017
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.480
Threshold uncertainty score0.966

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.017
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0200.040
Scholarly communication0.0230.008
Open science0.0020.006
Research integrity0.0110.015
Insufficient payload (model declined to judge)0.0090.001

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 head0.038
GPT teacher head0.300
Teacher spread0.263 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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