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Record W4367149375 · doi:10.4337/9781800889378.00019

Climate change law and colonialism: the rights of nature and a hypothetical case for bison person in Canada

2021· book-chapter· en· W4367149375 on OpenAlexaboutno aff
Laura S. Lynes

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2021
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsPersonhoodIndigenousOperationalizationClimate changeEnvironmental ethicsTraditional knowledgeIndigenous rightsColonialismPolitical scienceLawHuman rightsGeographySociologyEcologyEpistemology

Abstract

fetched live from OpenAlex

The views of Indigenous Peoples around the world on nature have been disregarded in the process of law making since colonization. Consequently, laws and policy to address climate change, for the most part, continue to evolve in absence of Indigenous knowledge. Legal standing for animals and natural resources that are ecologically and culturally significant to Indigenous Peoples could be a way to incorporate Indigenous knowledge into decision making on climate change and in mending relations with States and Indigenous Peoples that have been strained for more than a century. In Canada's case, this could also be a form of active reconciliation. To illustrate this point, a hypothetical case for bison personhood in Canada will be presented. Arguments to support bison personhood will be drawn from the key legal principles, and cultural and ecological reasoning that led to the personhood of the Ganga, Yamuna, and Whanganui Rivers. It will also be shown how granting Rights to Nature could help States operationalize international treaties such as the Paris Agreement.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.615

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.256
Teacher spread0.229 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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