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Record W2516993466 · doi:10.29173/alr1

Navigating Murky Waters: Emerging Trends in Aboriginal Consultation and Project Approval

2015· article· en· W2516993466 on OpenAlexafffundvenueabout
Maureen Killoran, Dan Kolenick, Thomas Gelbman

Bibliographic record

VenueAlberta Law Review · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsCanadian Forces College
FundersShell Canada
KeywordsScope (computer science)DutyJurisdictionContext (archaeology)LawPolitical scienceResource (disambiguation)Geography

Abstract

fetched live from OpenAlex

This article surveys the most significant recent Canadian decisions engaging the Crown’s duty to consult Aboriginal peoples in the context of natural resource and infrastructure developments and explores the following themes. First, project opponents are initiating legal challenges early and often. Second, recent decisions have affirmed the principle that the duty to consult can be fulfilled through an existing regulatory review process. Third, the jurisdiction of certain administrative tribunals to determine the adequacy of consultation and other constitutional questions remains unsettled. Fourth, Aboriginal groups continue to launch novel challenges, seeking to expand the scope of the duty to consult, often beyond the specific Crown conduct being challenged. Fifth, courts are increasingly intolerant of abuses of process, particularly where litigants fail to seek proper recourse for their grievances. Finally, project proponents are seeking recourse against the Crown in cases where it has failed to adequately consult or accommodate.

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)0.066
metaresearch head score (Gemma)0.109
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.200
Threshold uncertainty score0.624

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0660.109
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.007
Science and technology studies0.0220.027
Scholarly communication0.0180.006
Open science0.0070.011
Research integrity0.0100.014
Insufficient payload (model declined to judge)0.0070.001

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 head0.039
GPT teacher head0.407
Teacher spread0.368 · 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
Published2015
Admission routes4
Has abstractyes

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