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Record W3168699468 · doi:10.3366/legal.2021.0007

First Nations Cultural Loss: Whiteness and the<i>Timber Creek</i>Judgment

2021· article· en· W3168699468 on OpenAlexaboutno aff
Greta Bird, Jo Bird

Bibliographic record

VenueLegalities · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsSovereigntyLawDoctrineObligationPolitical scienceDamagesWhite (mutation)High CourtSociologyPolitics

Abstract

fetched live from OpenAlex

The Ngaliwurru and Nungali Peoples of the Country known in white law as Timber Creek commenced three proceedings under the Native Title Act 1993 (Cth) (NTA) in 1999 and 2000. The final judgment in the High Court was hailed as progressive. It was the first time that the Court had awarded damages inter alia for cultural loss under the NTA. The article contends that the compensation awarded was inadequate, being based on white, neo-liberal notions of property that do not acknowledge Aboriginal sovereignty, the depth of connection to country and loss suffered. The case also denied that a fiduciary obligation existed on behalf of the Crown, a possibility that was raised in Mabo and other cases but allowed to atrophy. Given this, it is argued that the judgment is a continuation of the colonial project based on the ‘ terra nullius’ doctrine and can be critiqued from the perspective of the white cultural privilege embedded throughout. The judgment does not disturb the skeleton of white Australia's claims to sovereignty: the taking of the land without consent, the failure to recognise First Nations sovereignty, the neglect to enter into treaties or to provide compensation in any meaningful sense.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.094
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0170.015
Scholarly communication0.0090.003
Open science0.0010.004
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.278
Teacher spread0.259 · 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
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
Published2021
Admission routes1
Has abstractyes

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