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Record W2173772894

Bringing Meaning to First Nations Consultation in the British Columbia Salmon Aquaculture Industry

2005· article· en· W2173772894 on OpenAlexaffvenueabout
Mark S. Rappaport

Bibliographic record

VenueDalhousie journal of legal studies · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsDutyLawContext (archaeology)IndigenousJurisprudenceGovernment (linguistics)SeriousnessAquacultureSupreme courtSociologyPolitical scienceHistoryFisheryFish <Actinopterygii>ArchaeologyEcology
DOInot available

Abstract

fetched live from OpenAlex

One aspect of the legal relationship between the Crown and Aboriginal peoples is the duty to consult. This duty is part of the overall fiduciary duty that the Crown owes towards Aboriginal people. The recent Supreme Court of Canada decision of Haida v. British Columbia brings the duty to consult info focus specifically in the context of salmon aquaculture in British Columbia. Difficulties arise with regards to the precise content of the duty to consult: is it merely procedural in nature, or do First Nations have a substantive right to consultation? The extent of consultation and accommodation will be determined proportionally to the strength of the claim and the seriousness of the potential infringement. The Haida case confirms the requirement of the Crown to act honourably and to effect reconciliation between the Crown and Aboriginal peoples, as has been established in previous Canadian Aboriginal jurisprudence. Consultation is practically difficult because of the fact that salmon aquaculture regulation is divided amongst several government agencies. This paper explores the question of how much input Aboriginal peoples should have and what the nature of accommodation might look like if an Aboriginal band were to protest salmon aquaculture in its territory.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.325
Teacher spread0.291 · 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.

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

Citations1
Published2005
Admission routes3
Has abstractyes

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