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Record W2177584073

Introduction To Indigenous Law Symposium Transcripts

2004· article· en· W2177584073 on OpenAlexaboutno aff
Danielle R. LaPierre

Bibliographic record

VenueSyracuse journal of international law and commerce · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousPolitical scienceLawLaw and economicsSociologyBiology
DOInot available

Abstract

fetched live from OpenAlex

The Center for Indigenous Law, Governance and Citizenship was established in 2003 at Syracuse University College of Law under the direction of Robert Odawi Porter. The Center has four main goals: To conduct research relating to the citizenship rights and responsibilities of Indigenous peoples in the United States, Canada, and throughout the world; To conduct research relating to the law and governance of Indigenous nations in the United States and Canada; To provide technical assistance to Indigenous nations in the United States and Canada seeking to reform their governing institutions and administrative laws, as well as federal, state, local, and provincial governments seeking to reform their Indian affairs laws; and to promote a greater understanding of the law, governance, and history of the Haudenosaunee (the 'People of the Longhouse'). The Center for Indigenous Law sponsored a conference entitled, "Going Home: A Symposium on the Return of Removed Indigenous Peoples." The Symposium was held on November 10, 2003 in Syracuse, New York. Since indigenous law has international legal ramifications and has emerged as a burgeoning area of scholarship, the Journal chose to publish the legal commentary given at the Conference.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score0.366

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 studies0.0000.000
Scholarly communication0.0000.000
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 head0.011
GPT teacher head0.275
Teacher spread0.264 · 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 designNot applicable
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

Citations0
Published2004
Admission routes1
Has abstractyes

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