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Record W7019985564

Indigeneity in the courtroom: Law, culture, and the production of difference in North American courts

2009· dissertation· en· W7019985564 on OpenAlexaboutno aff

Bibliographic record

VenueRice Digital Scholarship Archive (Rice University) · 2009
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousColonialismReferentVariety (cybernetics)Knowledge productionTraditional knowledge
DOInot available

Abstract

fetched live from OpenAlex

This dissertation considers how culturalist arguments are being deployed and interpreted in legal cases involving indigenous peoples in both Canada and the United States. Focusing specifically on three court cases, it asks how a certain kind of difference, indigeneity, is produced in both legal and extra-legal spheres. Rather than having a specific referent that is indigenous cultural practice and epistemology, indigeneity references the idea that indigenous difference is produced in particular contexts, in response to a variety of sociopolitical forces.\nThe dissertation closely examines these three recent cases involving indigenous peoples, one from the U.S. and two from Canada. In each of these cases, the courts deploy the idiom of indigenous difference, indigeneity , in purportedly novel and unexpected ways. The dissertation argues that despite their superficial novelty, these cases are not especially anomalous; they are, in fact, part of continuing processes which rely on reductive multiculturalist discourses of indigeneity to continue to manage and even deny the existence of a colonial past and a postcolonial present.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.010
GPT teacher head0.206
Teacher spread0.196 · 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 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

Citations2
Published2009
Admission routes1
Has abstractyes

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