MétaCan
Menu
Back to cohort
Record W2550218957 · doi:10.1515/ldr-2016-0012

Nested Regulation in Law and Development: Identifying Sites of Indigenous Resistance and Reform

2016· article· en· W2550218957 on OpenAlexaff
Sari Graben

Bibliographic record

VenueThe Law and Development Review · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Peoples' Rights and Law
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsIndigenousCognitive reframingScholarshipContext (archaeology)Law and economicsPolitical scienceLawIndigenous rightsSociologyHuman rightsBiology

Abstract

fetched live from OpenAlex

Abstract Despite a radical change in the contemporary regulation of Indigenous lands, comparative scholarship remains focused on state determined rights and their development by the judiciary. This focus is rooted in an assumption that rights recognition bestows protection on identified groups and their lands. However, the model has limited the ability of comparative law to engage with regulatory approaches to Indigenous land tenure – instead characterized by regulatory institutions that enable decision-makers to avoid encounters. This article corrects this anachronism by reframing comparative Indigenous law to better recognize how rights are embedded in nested regimes that legitimate rationalized decision-making. The concept of nested regimes, which has mostly been used internationally, is applied in the domestic context in order to clarify where regulatory authority overlaps and how decision-making on rights or its avoidance impacts other actors. Using several institutions – the judiciary, the executive, private industry, police, and Indigenous communities – the article illustrates how overlapping regimes attempt to avoid a rights based discourse and therefore complicate Indigenous strategies of resistance and reform. In doing so, this article presents the outlines of a larger project to develop methodologies that pay attention to the regulatory dimension of implementing constitutionally secured rights. This contributes to the growing interest in synthesizing law and development, comparative law and regulatory perspectives; disciplines which have remained intellectually isolated from each other until recently.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.964
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.037
GPT teacher head0.290
Teacher spread0.253 · 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.

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

Citations2
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueThe Law and Development ReviewSame topicIndigenous Peoples' Rights and LawFrench-language works237,207