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Record W3121397134 · doi:10.1177/117718011401000506

Re-centring first nations knowledge and places in a terra nullius space

2014· article· en· W3121397134 on OpenAlexaboutno aff

Bibliographic record

VenueUniSA Research Outputs Repository (University of South Australia) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousColonialismLegitimacyLawCentringPoliticsFace (sociological concept)Relation (database)Political scienceSociologySocial scienceEngineering

Abstract

fetched live from OpenAlex

Indigenous law, philosophy and knowledges are core to our Indigenous past and they still hold our present worlds together, promising a future for First Nations peoples even in the face of colonialism which has done much to marginalise First Nations. This paper discusses the marginal position held by Indigenous peoples, one which is reflected in international law and which deems us as objects of colonial states. This is our political position even while First Nations continue to hold and centre our lawful obligations to care for country. I also critically review the impact of colonisation on the First Nations of Australia and consider the need to transform that colonial history to enable a less peripheral and more centred place for First Nations peoples’ laws, philosophy and knowledges to re-emerge. For the Australian colonial project the mechanism of terra nullius provided the legitimacy which imperial Britain needed to “lawfully settle” our lands and dispossess First Nations from our way of being in relation to the earth in the place now called Australia. Here I consider both the impact of colonisation on-and the challenge we face in re-centring-Aboriginal law, philosophy and knowledges.

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)0.008
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 score0.030
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0110.076
Scholarly communication0.0100.014
Open science0.0010.012
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0040.000

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 head0.061
GPT teacher head0.334
Teacher spread0.273 · 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

Citations90
Published2014
Admission routes1
Has abstractyes

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