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Record W3121266696 · doi:10.7202/1021212ar

International and Domestic Law Dimensions of Climate Justice for Arctic Indigenous Peoples

2013· article· en· W3121266696 on OpenAlexaboutno aff
Elizabeth Ann Kronk Warner, Randall S. Abate

Bibliographic record

VenueÉrudit (Université de Montréal) · 2013
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousCircumpolar starArcticEnvironmental justiceClimate justiceEconomic JusticeCommissionClimate changePolitical scienceInternational lawTraditional knowledgeEnvironmental ethicsGeographyLawEnvironmental planningEcologyOceanography

Abstract

fetched live from OpenAlex

The Arctic region is in crisis from the effects of climate change. The impacts of climate change pose a particular threat to Arctic indigenous communities. Because of the disproportionate impacts of climate change, these indigenous communities are environmental justice communities. Part I of this article discusses how indigenous nations are environmental justice communities and discusses the unique factors that may apply to environmental justice claims arising in Indian country. The article then presents two case studies to explore how, if at all, these concepts have been previously applied to environmental justice claims brought by various Arctic indigenous communities. Part II addresses the Inuit Circumpolar Conference’s petition to the Inter-American Commission on Human Rights. Part III considers the Native Village of Kivalina’s lawsuit against numerous private emitters of greenhouse gases. These case studies underscore the failure of international and domestic forums’ consideration of the special situation of Arctic indigenous peoples as environmental justice communities.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.586
Threshold uncertainty score0.998

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 studies0.0040.000
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 head0.010
GPT teacher head0.253
Teacher spread0.243 · 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

Citations9
Published2013
Admission routes1
Has abstractyes

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