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Record W2883401934 · doi:10.7202/1049317ar

Porcupine and Other Stories: Legal Relations in Secwépemculecw

2018· article· en· W2883401934 on OpenAlexaffvenueabout
Hadley Friedland, Bonnie Leonard, Jessica Asch, Kelly Mortimer

Bibliographic record

VenueRevue générale de droit · 2018
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of VictoriaUniversity of Alberta
Fundersnot available
KeywordsIndigenousLawContext (archaeology)Political scienceLegitimacySociologyPoliticsHistory

Abstract

fetched live from OpenAlex

For thousands of years, Secwépemc laws (like other Indigenous laws) related to the Secwépemc lands, or “Secwépemcúlecw,” developed and were learned and practiced within a context where the personhood of Secwépemc individuals, as well as animals and the earth itself, was not in dispute. Nor was the existence, legitimacy or efficacy of Secwépemc laws. All of these crucial legal relationships still exist, and are ongoing. However, for the past 150 years or so, Secwépemc laws, and people, have lived in relation to something quite distinct — a set of laws that were jurispathic in nature —laws that would not recognize or tolerate any other law but themselves. The Secwépemc Nation’s resilience and perseverance in upholding and revitalizing Secwépemc laws in the face of this colonial disregard, attests to their strength and enduring value. In this article, the authors discuss the purpose, as well as some of the methods, outcomes and limits of the Secwépemc Lands and Resources Laws project produced in collaboration with the University of Victoria Indigenous Law Research Unit. They then examine present interactions between Secwépemc and state land and resources laws operating within Secwépemcúlecw, including the challenges and limited opportunities that exist within the way these legal and political relations are currently structured and implemented on the ground. Finally, they draw on the Secwépemc “Story of Porcupine” to suggest a constructive way forward towards a more mutually respectful Nation-to-Nation relationship between the Secwépemc people and the Canadian State.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.334
Teacher spread0.307 · 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 designObservational
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

Citations4
Published2018
Admission routes3
Has abstractyes

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