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Record W4323306797 · doi:10.32920/22223326

Administering Consultation at the National Energy Board: Evaluating Tribunal Authority

2023· preprint· en· W4323306797 on OpenAlexaboutno aff
Sari Graben, Abbey Sinclair

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsJurisprudenceTribunalSupreme courtLawDutyPolitical scienceDiscretionConstitutionCLARITY

Abstract

fetched live from OpenAlex

[From Introduction]: "Over the course of the last thirty years, section 35(1) of the Constitution Act, 1982 has shifted governmental engagement with Aboriginal peoples from a matter of executive discretion to a matter of legal right. While there are differences over the scope, content, and protections of those rights, the jurisprudence has first and foremost clarified that disputes over competing uses can be settled in law. Nevertheless, if past jurisprudence has focused on the duty of the executive, the authors argue here that there has been little clarity surrounding the duty of administrative tribunals to adhere to the legal requirements of section 35(1) in regulating resource use. The Supreme Court of Canada has affirmed the authority of tribunals to administer Aboriginal rights and to evaluate the Crown’s duty to consult. Moreover, the courts are willing to treat tribunal proceedings as part of a larger framework for achieving consultation. Yet, even though courts have implicated tribunals in the task of ensuring that rights are respected, key decisions have seemingly released tribunals from the legal strictures of the jurisprudence on section 35(1). As a consequence, it is unclear whether tribunals can use their own methods of evaluation or whether they are required to assess consultation in accordance with the legal criteria established by the Supreme Court."

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)0.078
metaresearch head score (Gemma)0.143
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score0.412

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0780.143
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0210.012
Scholarly communication0.0210.009
Open science0.0030.010
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0130.003

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 head0.192
GPT teacher head0.447
Teacher spread0.255 · 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 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
Published2023
Admission routes1
Has abstractyes

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Same topicEnvironmental law and policyFrench-language works237,207