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Record W1993545626

Honour Among Nations? Treaties and Agreements with Indigenous People

2004· article· en· W1993545626 on OpenAlexaboutno aff
Marcia Langton, Maureen Tehan, Lisa Palmer, Kathryn Shain

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsHonourIndigenousTreatyPolitical sciencePoliticsGovernment (linguistics)International lawIndigenous rightsLawIntellectual propertyGeography
DOInot available

Abstract

fetched live from OpenAlex

'Honour Among Nations? Treaties and Agreements with Indigenous People' emerges from the growing academic and public policy interest in the area of indigenous peoples, treaties and agreements, challenging readers to engage with the idea of treaty and agreement making in changing political and legal landscapes. 'Honour Among Nations?' contains contributions from both indigenous and non-indigenous authors from Australia, New Zealand, North America and Canada including Marcia Langton, Gillian Triggs, Brad Morse, Paul Chartrand, Joe Williams and Noel Pearson. This book covers topics as diverse as treaty making in New Zealand and British Columbia; land, the law, political rights and indigenous peoples; maritime agreements; Torres Strait Islander self-government; race discrimination in Australia; the Timor Sea Treaty; copyright and intellectual property issues for Aboriginal and Torres Strait Islander authors.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.042
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.011
Scholarly communication0.0090.009
Open science0.0010.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0100.002

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 head0.008
GPT teacher head0.264
Teacher spread0.256 · 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

Citations20
Published2004
Admission routes1
Has abstractyes

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