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E Pluribus Plures

2020· book-chapter· en· W3092965598 on OpenAlexaffabout
Michael Coyle

Bibliographic record

VenueOxford University Press eBooks · 2020
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsIndigenousSovereigntyAotearoaLegal pluralismColonialismIndigenous rightsPluralism (philosophy)Political scienceNormativeCorporate governanceState (computer science)LawSociologyPolitical economyEnvironmental ethicsComparative lawHuman rightsPoliticsLegal realismEpistemology

Abstract

fetched live from OpenAlex

Abstract In much of the world, colonialism has gone hand in hand with the deliberate suppression of Indigenous peoples’ values and the legal orders by which they governed themselves. In light of the marginal social conditions and threats to their future cultural survival that the imposition of colonial sovereignty has produced for Indigenous peoples, pressure has been rising in recent decades for states to recognize the right of Indigenous peoples to be governed by their own diverse laws and normative orders. To be effective, formal efforts to mediate the discourse between those norms and state laws will need to be capable of accommodating fundamental differences between Indigenous and state understandings of governance and of law. Drawing on Indigenous arguments for the revitalization of their laws as well as the insights of legal pluralism, this chapter sketches out a framework by which one might assess the adequacy of mechanisms that mediate between state and Indigenous norms. Our discussion will focus on Canada and Aotearoa/New Zealand, two countries where the issue of legal pluralism has recently taken center stage.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.069
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.004
Scholarly communication0.0070.005
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0690.023

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 head0.042
GPT teacher head0.245
Teacher spread0.204 · 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
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

Citations3
Published2020
Admission routes2
Has abstractyes

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