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Record W2539682818 · doi:10.1017/s0008423916000822

Eliminating Indigenous Jurisdictions: Federalism, the Supreme Court of Canada, and Territorial Rationalities of Power

2016· article· en· W2539682818 on OpenAlexaffabout
Michael McCrossan, Kiera L. Ladner

Bibliographic record

VenueCanadian Journal of Political Science · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsUniversity of ManitobaUniversity of New Brunswick
Fundersnot available
KeywordsFederalismSupreme courtConstitutionPolitical scienceIndigenousLawSovereigntyDenialPower (physics)JurisdictionPolitics

Abstract

fetched live from OpenAlex

Abstract This paper examines judicial reasoning in the area of Aboriginal title, paying particular attention to the Supreme Court of Canada's Tsilhqot'in Nation (2014) decision. While the decision has been heralded as a ‘game-changer’ within media circles and legal commentaries for its recognition of a claim to title under section 35(1) of the Constitution Act, 1982 , the authors argue that the decision does not depart substantially from prior judicial logics predicated upon the production of Crown sovereignty and the denial of Indigenous legal orders. In fact, the authors argue that the decision displays a clear judicial orientation towards the present jurisdictional divisions of Canadian federalism which not only serves to eliminate Indigenous legal orders and territorial responsibilities, but also provides federal and provincial governments with enhanced powers of ‘incursion’ into Aboriginal title lands.

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)0.005
metaresearch head score (Gemma)0.014
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 score0.084
Threshold uncertainty score0.607

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0210.026
Scholarly communication0.0120.002
Open science0.0020.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.280
Teacher spread0.261 · 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

Citations30
Published2016
Admission routes2
Has abstractyes

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