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Record W4385512091 · doi:10.60082/2563-8505.1380

The Geography of the Crown: Reflections on Mikisew Cree and Williams Lake

2020· article· en· W4385512091 on OpenAlexaffabout
Patricia Burke Wood, David A. Rossiter

Bibliographic record

VenueSupreme Court law review · 2020
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsYork University
Fundersnot available
KeywordsHonourFiduciaryDutySovereigntyLawPoliticsColonialismCrown (dentistry)SociologyPolitical science

Abstract

fetched live from OpenAlex

In this article, we argue for the importance of the geographic underpinnings of the concepts of “the Crown”, the “honour of the Crown”, “fiduciary duty”, and the “duty to consult” in cases concerning Aboriginal title and rights in Canada. Recent decisions, including Williams Lake (2018) and Mikisew Cree (2018), while further developing and refining these concepts, continue to skirt around the fundamentally geographic issue of territorial sovereignty. We argue that both political and legal discussions fail to recognize fully how the honour of the Crown, fiduciary duty, and the duty to consult arise from this geographical basis, rather than from a legal or abstracted definition of the Crown. More than a bounded space or a specific site, territory is a strategic process of settler-colonial statecraft, in which the law is a constitutive instrument in the unmaking and remaking of territory. The concepts of the Crown, its honour and its duties are not exempt from this process.

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)0.010
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 score0.202
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0340.059
Scholarly communication0.0180.011
Open science0.0040.008
Research integrity0.0130.015
Insufficient payload (model declined to judge)0.0060.000

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 head0.250
Teacher spread0.222 · 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

Citations0
Published2020
Admission routes2
Has abstractyes

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