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Record W597023446 · doi:10.21991/c9n95v

The Applicability of Section 7 of the Charter to Oil and Gas Development in Alberta

2011· article· en· W597023446 on OpenAlexvenueaboutno aff
Nickie Vlavianos

Bibliographic record

VenueConstitutional Forum / Forum constitutionnel · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsCharterContext (archaeology)Human rightsNoticeLawSection (typography)Political scienceEconomic JusticeLaw and economicsSociologyHistoryBusiness

Abstract

fetched live from OpenAlex

When Albertans think about human rights in the context of oil and gas development, many think of Africa, and for good reason. Indeed, the tragic events that have unfolded in Sudan in recent years may come to mind. Few, however, will turn their minds to the possibility of human rights violations occurring in their own province. And yet, in at least three court applications over the past year or so, landowners have raised the spectre of the applicability of human rights law in the context of oil and gas development in Al- berta. Specifically, the possibility of the applica- tion of section 7 of the Canadian Charter of Rights and Freedoms is at issue.1 Arguments have been based on both aspects of section 7 — the right to life, liberty, and security of the person, and the right not to be deprived thereof except in accor- dance with the principles of fundamental justice (or procedural fairness), including rights to a fair hearing, to reasonable notice, and to reasons for a decision. Although no definite ruling has yet emerged, in none of these cases was it suggested that section 7 is inapplicable in the context of the actual and potential environmental and health impacts of oil and gas development (or other industrial development for that matter). Where there might have been doubt about this issue be- fore, there does not appear to be any now.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.885
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.006
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.018
GPT teacher head0.245
Teacher spread0.227 · 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 designTheoretical or conceptual
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
Published2011
Admission routes2
Has abstractyes

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