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Record W4396513459 · doi:10.4324/9781003496434-6

Walking the Law throughout the Journey of Nishiyuu

2024· book-chapter· en· W4396513459 on OpenAlexaboutno aff
Meaghan Weatherdon

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicConflict of Laws and Jurisdiction
Canadian institutionsnot available
Fundersnot available
KeywordsLawPolitical science

Abstract

fetched live from OpenAlex

76 Indigenous journeys are powerful exercises of law and governance. Presently, these journeys have also become a popular means for revitalizing culture and contesting continued colonialism. The Journey of Nishiyuu was a mass social movement in which a group of Uschiniichisuu, Cree youth travelled a collective 1600 km by foot from their homes in Whapmagoostui, Québec to Parliament Hill in Ottawa, Ontario in order to address a variety of social and environmental issues confronting Indigenous Peoples in Canada during the winter of Idle No More (2012/2013). Drawing on conversational interviews conducted with several walkers, their Elders, and community members who volunteered for the Journey of Nishiyuu, I argue that throughout the Journey the Nishiyuu youth walked the law, by which I mean they inherited their authority to govern and exercised their governance by way of walking the land. While making this argument I consider how spiritual imaginations shape legal landscapes and emphasize the itinerant nature and prevailing persistence of Indigenous legal orders.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0090.003
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.045
GPT teacher head0.341
Teacher spread0.296 · 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 designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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