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Record W3210542444 · doi:10.1017/9781108914642.019

Entanglement of State and Indigenous Legal Orders in Canada

2021· book-chapter· en· W3210542444 on OpenAlexaboutno aff
Keith Culver, Michael Giudice

Bibliographic record

VenueCambridge University Press eBooks · 2021
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)Political sciencePoliticsIndigenousPolitical philosophyOrder (exchange)Law and economicsLegal realismLawPhilosophy of lawLegal researchSociologyComparative lawBusinessComputer science

Abstract

fetched live from OpenAlex

One prominent way for multiple legal orders to be organized is for one order to claim and to an effective degree enjoy supremacy over the other(s). This is of course a familiar state-centric view of law. Such a view depends heavily on a particular concept of legal system, which has been both substantially developed in legal theory (e.g. in analytical legal philosophy) and observationally available in the practices of many states. However, this system-centred view of law faces some significant challenges in many contexts, in terms of both its descriptive-explanatory accuracy and its political acceptability. This chapter explores the way and extent to which the system-centred view of law is not necessary but contingent and so a matter of choice, and the political implications at stake in such a choice. Deploying a previously developed inter-institutional theory of law, it argues that forms of entangled legalities, rather than hierarchical and dominating legal systems, are often not only possible but politically desirable. To make the case it draws on observations about the dynamic and evolving relations between state and First Nations legal orders in Canada.

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)0.001
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.197
Threshold uncertainty score0.931

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0180.013
Scholarly communication0.0080.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.215
Teacher spread0.196 · 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
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

Citations1
Published2021
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooks→Same topicMulticultural Socio-Legal Studies→French-language works237,207→