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Record W3133915360

The Deification of Process in Canada’s Duty to Consult: Tsleil-Waututh Nation v Canada (Attorney General)

2019· article· en· W3133915360 on OpenAlexaboutno aff
Stephen Young

Bibliographic record

VenueOtago University Research Archive (University of Otago) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDiscretionDutyLawIndigenousPolitical scienceArticulation (sociology)Process (computing)Computer science
DOInot available

Abstract

fetched live from OpenAlex

This article considers the limitations in Canada’s duty to consult with Aboriginal peoples as recently articulated in Tsleil-Waututh Nation v Canada (Attorney General). There, six Indigenous applicants challenged Canada’s approval of Trans Mountains’ pipeline expansion project. In a review of that case, this article argues that the Court magnifies a previously established distinction between procedural design and procedural execution, which contributes to a deification of process. This deification of process is problematic, at a basic level, because it enables the Court to winnow the range of substantive topics that requires First Nations consultation by treating them as process ‘design’ features that Canada has discretion over. At the same time, the Court requires Canada to alter its ‘execution’ of the consultation processes to ensure meaningful two-way dialogue, which has the possibility, but not a guarantee, of substantive alterations. By ensuring that there is the possibility of substantive alterations, the Court’s deification of process in its articulation of Canada’s duty to consult provides the illusion that it facilitates substantive accommodations as it virtually guarantees project construction. More problematically, the Court’s deification of provides the illusion of efficacious federalism that advances a form of legal positivism that eclipses important political-economic concerns.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.035
GPT teacher head0.279
Teacher spread0.244 · 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 designObservational
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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueOtago University Research Archive (University of Otago)Same topicMulticultural Socio-Legal StudiesFrench-language works237,207