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Record W2407798627

A Sacred Responsibility: Governing the Use of Water and Related Resources in the International Columbia Basin Through the Prism of Tribes and First Nations

2016· article· en· W2407798627 on OpenAlexaffabout
Matthew McKinney, Richard Kyle Paisley, Molly Smith Stenovec

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsStructural basinPrismWater resourcesGeographyPolitical scienceWater resource managementEnvironmental ethicsLawGeologyEnvironmental sciencePaleontologyPhilosophyEcologyPhysics
DOInot available

Abstract

fetched live from OpenAlex

In the fall of 2012, leaders from Columbia Basin First Nations and tribes participated, along with about 150 other people, in the 4th transboundary symposium convened by the Universities Consortium on Columbia River Governance. Gathered on the shores of Flathead Lake in Polson, Montana, the participants explored the interests, rights, roles, and responsibilities of indigenous people in the international Columbia River Basin. This symposium generated two notable outcomes: first, The Columbia River Basin: A Sense of the Future—a synthesis of interests and concerns with regard to the future of the transboundary river basin as captured by the Universities Consortium during four symposia and related research initiatives; and second, a commitment from indigenous people to continue exploring their role in the governance of the international Columbia Basin.\nFollowing the symposium, members of the Universities Consortium continued to work with the Columbia Basin tribes and First Nations to frame an appropriate set of objectives to guide this applied research and report. After an exchange of memorandum and the creation of a steering committee, the Steering Committee agreed to a number of objectives.

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 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)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.732
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.028
GPT teacher head0.262
Teacher spread0.235 · 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 teacher head, 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

Citations8
Published2016
Admission routes2
Has abstractyes

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Same topicArchaeology and Natural HistoryFrench-language works237,207