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Record W3005450118 · doi:10.1163/15718115-02702011

Shifting the Focus: Viewing Indigenous Consent Not as a Snapshot But As a Feature Film

2020· article· en· W3005450118 on OpenAlexaffabout
Michael Coyle

Bibliographic record

VenueInternational Journal on Minority and Group Rights · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsWestern University
Fundersnot available
KeywordsIndigenousPolitical scienceIndigenous rightsDeclarationLawState (computer science)Snapshot (computer storage)Public relationsHuman rights

Abstract

fetched live from OpenAlex

Whether Indigenous peoples have a right to withhold their consent to proposed resource developments on their traditional lands is a topic of much debate at the moment. Canada’s endorsement of the United Nations Declaration on the Rights of Indigenous Peoples raises questions about Canada’s existing consultation law, which generally does not require Indigenous peoples’ advance consent to proposed uses of their traditional lands. While the issue of consent is important, the author argues that focusing only on the end point of consultations misses important questions about the capacity of existing consultation processes to promote consensus-building between the state and Indigenous peoples. This article takes a critical look at the structure of current consultation processes in Canada and proposes changes that would strengthen their capacity to manage conflicts effectively, to respect Indigenous values and legal orders, and to advance the long-term relationship between the Canadian state and Indigenous peoples.

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)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.435
Threshold uncertainty score0.865

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.027
Scholarly communication0.0110.006
Open science0.0020.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.031
GPT teacher head0.318
Teacher spread0.287 · 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 designQualitative
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

Citations0
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal on Minority and Group RightsSame topicIndigenous Health, Education, and RightsFrench-language works237,207