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Record W2613405077

The Oil Sands of Time: Pipelines and Promises

2017· article· en· W2613405077 on OpenAlexaboutno aff
Anthony Moffa

Bibliographic record

VenueOcean and coastal law journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsCulvertIndigenousFishingOil sandsIndigenous rightsNinthTreatyWork (physics)Political scienceState (computer science)FisheryLawEnvironmental protectionGeographyEngineeringArchaeologyHuman rightsEcologyGeotechnical engineering
DOInot available

Abstract

fetched live from OpenAlex

The Albertan oil sands provide the battlegrounds for the most recent iteration of the centuries-old conflict between the rights of indigenous peoples and the economic priorities of colonizing Europeans in North America. In the Pacific Northwest United States, that conflict has played out in a series of federal court cases stretching back to the 1970s. In the “Culverts Case” of 2016, the Ninth Circuit Court of Appeals upheld a grant of injunctive relief against the state of Washington, which had been found to violate several tribes’ treaty-protected fishing rights by constructing and maintaining culverts that impede river flow. After comparing the treatment of, and protection for, indigenous rights in the United States and Canada, this work examines how the Culverts Case can provide a model for the resolution of the ongoing conflicts between indigenous rights and oil sands development in Canada.

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)0.002
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.612
Threshold uncertainty score0.771

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.022
Scholarly communication0.0140.010
Open science0.0010.005
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0140.001

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 head0.011
GPT teacher head0.282
Teacher spread0.271 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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