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Record W2970150999 · doi:10.59962/9780774855778

Indigenous Legal Traditions

2008· book· en· W2970150999 on OpenAlexaboutno aff
Law Commission of Canada

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2008
Typebook
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGeographyPolitical scienceHistoryGenealogyAnthropologyEthnologySociologyEcologyBiology

Abstract

fetched live from OpenAlex

Although Indigenous peoples had their own systems of law based on their social, political, and spiritual traditions, under colonialism their legal systems have often been ignored or overruled by non-Indigenous laws. Today, however, these legal traditions are being reinvigorated and recognized as vital for the preservation of the political autonomy of Aboriginal nations and the development of healthy communities. The essays in this book present important perspectives on the role of Indigenous legal traditions in reclaiming and preserving the autonomy of Aboriginal communities and in reconciling the relationship between these communities and Canadian governments. Contributors include Andrée Lajoie, Minnawaanagogiizhigook (Dawnis Kennedy), Ghislain Otis, Ted Palys and Wenona Victor, Paulette Regan, and Perry Shawana. Common threads linking the essays include the relationship between Indigenous and Canadian legal orders, the importance of Indigenous legal traditions for Aboriginal communities’ autonomy, and the ways in which these traditions might be recognized and given space in the Canadian legal landscape. In its examination of different aspects of and models for the recognition of Indigenous legal orders, this book addresses important issues relating to legal pluralism. It will be of interest to a wide audience including lawyers and legal academics, teachers, students, policy makers, and members of Aboriginal communities.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.219
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.196
Teacher spread0.178 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations9
Published2008
Admission routes1
Has abstractyes

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