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Record W2999485323 · doi:10.1080/07256868.2019.1704229

Unsettling Anthropocentric Legal Systems: Reconciliation, Indigenous Laws, and Animal Personhood

2020· article· en· W2999485323 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Intercultural Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAnthropocentrismPersonhoodIndigenousEnvironmental ethicsSociologySubjectivityArgument (complex analysis)LawPolitical scienceEpistemologyEcologyBiology

Abstract

fetched live from OpenAlex

This paper argues that interspecies justice is integral to rising decolonizing nationalist ‘reconciliation’ efforts in Canada and that such an interspecies perspective on reconciliation carries a significant promise for developing a new legal subjectivity for animals in settler colonial law to change the conditions of the lives of animals materially. I demonstrate that the personhood ascribed to animals in numerous Indigenous legal orders in Canada, as well as underlying non-anthropocentric worldviews where animals are not considered inferior to humans but are to be regarded as kin, should stimulate a new legal conversation in Canadian law about who/what animals are and the legal subjectivity and regard they merit among all those committed to reconciliation. Indigenous legal orders offer animal advocates a new and potentially transformative legal argument as to why the continued legal classification of animals as a property in Canadian law is exploitative and incompatible with a dominant legal order seeking to foster genuine reconciliation. Notwithstanding the residual anthropocentric elements of Indigenous worldviews promoting ‘respectful’ or ‘reciprocal’ relations with animals, and how such elements might be co-opted by settler society, this new reconciliation-originating animal-friendly argument has the potential, if adopted, to alter the material conditions of lives of many animals, most notably in intensive agriculture.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.676

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.067
GPT teacher head0.352
Teacher spread0.285 · 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