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Record W3019987319 · doi:10.1017/s1744552320000051

Indigenous rights in the context of oil and gas pipelines in Canada: exposing naturalised power structures through a lens of intersectionality

2020· article· en· W3019987319 on OpenAlexaffabout
Margot Hurlbert, Amber J. Fletcher

Bibliographic record

VenueInternational Journal of Law in Context · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsIndigenousContext (archaeology)SituatedPipeline transportPipeline (software)SociologyLawPolitical scienceLaw and economicsEconomyGeographyEconomicsEngineeringEcologyArchaeology

Abstract

fetched live from OpenAlex

Abstract Situated within the larger context of Canadian pipeline decisions, it is argued that pipeline proposals in a geography without pre-existing pipelines are unsuccessful in contrast to proposals repurposing and expanding existing pipelines. The Chippewas of the Thames (the ‘Chippewas’) unsuccessfully opposed Enbridge's expansion, reversal and repurposing to crude oil of the Line 9 pipeline in Ontario, Canada. Analysing the Chippewas’ case within the context of recent oil- and gas-pipeline developments, using a lens of intersectionality focused on identity markers of indigeneity, socio-economic status and geographical location, exposes the naturalised power structures of Canadian law. These structures include the legal institutions of real-property law, Crown ownership of wildlife and fish, implicit ‘standing’ of the economy and assimilation of indigenous rights. Exposing this dichotomy of indigenous rights on paper vs. in practice deepens the consideration of indigenous rights, potentially allowing intersecting oppressions to be addressed.

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)0.004
metaresearch head score (Gemma)0.006
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 score0.185
Threshold uncertainty score0.945

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0370.103
Scholarly communication0.0170.005
Open science0.0030.011
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.000

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 head0.028
GPT teacher head0.310
Teacher spread0.282 · 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

Citations5
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Law in ContextSame topicIndigenous Health, Education, and RightsFrench-language works237,207