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Record W2974279805 · doi:10.1080/08865655.2019.1666730

Whose Border? Contested Geographies and Columbia River Treaty Modernization

2019· article· en· W2974279805 on OpenAlexafffundvenueabout
William Jesse Baltutis, Michele‐Lee Moore

Bibliographic record

VenueJournal of Borderlands Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsUniversity of Victoria
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Victoria
KeywordsIndigenousModernization theoryTreatyCorporate governanceGovernment (linguistics)State (computer science)ColonialismPolitical sciencePublic administrationPolitical economySociologyLawEconomicsManagement

Abstract

fetched live from OpenAlex

This paper explores the links between contemporary bordering processes, Indigenous nations traditional territories, and transboundary water governance processes, using the case of the Columbia River Treaty (CRT) modernization process. We posit the Columbia River is shared not just by two nations, but also by multiple Indigenous nations with various inter-nation borders. To-date, the implications of this in practice do not appear to mean a re-imagination of borders, changes in legal authority for CRT renegotiation and implementation, or rethinking the state-centric institutions in which governance of the Columbia River is based. Three primary themes emerged from the empirical data that illustrate: (1) a reaffirmation of state-centric discourse on borders and bordering processes in CRT modernization, while (2) at the same time we see changes in the legal landscape in Canada and the U.S. that inform the obligations of colonial governments to move towards collaboration and shared governance with Indigenous nations on a government-to-government basis on issues impacting Indigenous interests. And, (3) emerging are the seeds of governance structures that seek to engage Indigenous nations within CRT renegotiation and implementation, including potentially providing a seat at the renegotiation table and including Indigenous nations within implementation structures for a modernized CRT.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.886

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.021
GPT teacher head0.350
Teacher spread0.329 · 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 designObservational
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

Citations3
Published2019
Admission routes4
Has abstractyes

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