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Record W2899832278 · doi:10.29173/psur46

Delgamuukw v. British Columbia: When Aboriginal Voices of Law Were Finally Heard

2018· article· en· W2899832278 on OpenAlexvenueaboutno aff
Reid Gomme

Bibliographic record

VenuePolitical Science Undergraduate Review · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Peoples' Rights and Law
Canadian institutionsnot available
Fundersnot available
KeywordsSupreme courtIndigenousLawAppealHuman settlementSettlement (finance)Government (linguistics)Political scienceTreatyCommon lawIndigenous rightsNegotiationReferendumGeographyHuman rightsPoliticsEconomicsArchaeology

Abstract

fetched live from OpenAlex

This essay analyzes the enduring impact of the case Delgamuukw v. British Columbia (1997), in which the Supreme Court of Canada overturned the original ruling by the Supreme Court of British Columbia in 1997 upon appeal by members of the Gitskan and Wet’suwet’en peoples representing the Delgamuukw side. The case set strengthened precedent in Canada’s legal system for the use of indigenous oral history as acceptable evidence in identifying first nations land claims based on their ancestral accounts. As has been shown in more recent indigenous land claims cases such as Tsilhqot’in v. British Columbia (2014), this precedent is finally allowing some first nations communities a legal tool recognized strongly enough within Canadian legal systems, historically entrenched in European common and civil law approaches of justifying evidence, to gain more just land claims settlements. While actions by some levels of Canadian government, such as the British Columbian Liberal government’s 2001 popular referendum on the merits of indigenous land claims, have shown bad faith for the prospects of nation to nation land claim settlement negotiation, the pressure exerted on all levels of Canadian government by decisions such as Delgamuukw and Tsilhqot’in show promise in forcing a shift to more just land claim settlements in future disputes.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.931
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.010
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.350
Teacher spread0.325 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2018
Admission routes2
Has abstractyes

Explore more

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