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Record W2605232142 · doi:10.22329/wyaj.v33i1.4807

OUTSIDER EDUCATION: INDIGENOUS LAW AND LAND-BASED LEARNING

2017· article· en· W2605232142 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWindsor Yearbook of Access to Justice · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsIndigenousCommissionPolitical scienceIndigenous educationHumanitiesSociologyContext (archaeology)LawEthnologyGeographyPhilosophyArchaeology

Abstract

fetched live from OpenAlex

This article examines pedagogical developments in Canadian law schools related to outdoor education. In the process, it shows how recommendations from the Indian Residential Schools Truth and Reconciliation Commission can be applied, which called for law schools to create Indigenous-focused courses related to skills-based training in intercultural competency, conflict resolution, human rights and anti-racism. Land-based education on reserves can give law students meaningful context for exploring these Calls to Action. At the same time this article illustrates that taking students outside law school walls is not solely an Indigenous development. Thus, it first provides a few examples about how outdoors legal education is occurring in non-Indigenous settings. Next, the article examines unique Indigenous legal methodologies for learning law on and from the land. Finally, the author discusses his own experience in teaching Anishinaabe law on his reserve to demonstrate how students can develop deeper understandings of their professional responsibilities.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
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 head0.074
GPT teacher head0.433
Teacher spread0.359 · 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