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Record W2884613370

The Noongar Settlement : Australia's first treaty.

2018· article· en· W2884613370 on OpenAlexaboutno aff
Harry Hobbs, George Williams

Bibliographic record

VenueUTS ePRESS (University of Technology Sydney) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsTreatySettlement (finance)Human settlementGovernment (linguistics)Political scienceLawState (computer science)Antarctic treatyGeographyEconomicsArchaeologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

There has been a resurgence in debate over the desirability and feasibility of a treaty between Aboriginal and Torres Strait Islanders and the Australian State. The discussion has proceeded on the assumption that no such treaties exist. But is this correct? In this article, we examine the concepts and ideas underlying a treaty, with a view to determining a standard against which agreements and negotiated settlements can be assessed. The standard we apply is informed by the modern treaty-making process in Canada to locate it in contemporary practices and values. We then examine whether any agreement reached in Australia can be regarded as a treaty, including settlements reached under the Native Title Act 1993 (Cth) and more recent agreements made outside that regime. We conclude that the South West Native Title Settlement, a negotiated agreement between the Noongar people and the Western Australian Government, is Australia’s first treaty.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.242
Threshold uncertainty score0.482

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.007
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.271
Teacher spread0.253 · 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 designQualitative
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

Citations22
Published2018
Admission routes1
Has abstractyes

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Same venueUTS ePRESS (University of Technology Sydney)Same topicIndigenous Health, Education, and RightsFrench-language works237,207