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Record W2282645793

Does Constitutional Change Matter? Canada's Recognition of Aboriginal Title

2005· article· en· W2282645793 on OpenAlexaboutno aff
Kirsten Matoy Carlson

Bibliographic record

VenueDigitalCommons - WayneState (Wayne State University) · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSupreme courtConstitutionLawPolitical scienceDoctrineConstitutional lawConstitutional rightPolitics
DOInot available

Abstract

fetched live from OpenAlex

Significant disagreement exists among scholars and practitioners as to the political, legal and social implications of constitutional change. This article evaluates the impacts of constitutional change through an empirical study of Aboriginal title litigation in Canada. Through the historical comparison of Aboriginal title claims brought before and after the constitutional incorporation of Aboriginal rights, it demonstrates how Aboriginal title doctrine and rates of litigation have changed since Aboriginal rights were incorporated into the Canadian Constitution. It suggests that these changes in Aboriginal title litigation should be understood through an evaluation of several possible explanations in addition to textual change, including the evolution of the common law, shifts in judicial personnel, and the rise of legal support networks. It concludes that while the Canadian Supreme Court and Aboriginal title claimants' heavy reliance on constitutional arguments indicates that the constitutional recognition of Aboriginal rights has influenced the development of Aboriginal title litigation since 1982, these changes are best understood as the result of sustained interactions among multiple influences.

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)0.008
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.133
Threshold uncertainty score0.963

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0220.024
Scholarly communication0.0110.003
Open science0.0020.003
Research integrity0.0030.005
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 head0.024
GPT teacher head0.238
Teacher spread0.214 · 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 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

Citations2
Published2005
Admission routes1
Has abstractyes

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