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Record W4412878549 · doi:10.1080/1323238x.2025.2529022

First Nations’ histories in the Australian curriculum: how the national curriculum is failing to meet international law standards on Indigenous peoples’ rights

2025· article· en· W4412878549 on OpenAlexaboutno aff
Xanthe Waite, Samara Hand

Bibliographic record

VenueAustralian Journal of Human Rights · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousCurriculumPolitical scienceLawInternational lawNational curriculumSociology

Abstract

fetched live from OpenAlex

During the Regional Dialogues that preceded the Uluru Convention and the Uluru Statement from the Heart, many delegates reflected on how a truth-telling process could lead to a change in how Australian history is taught in schools. In October 2023, one of the three proposed reforms in the Uluru Statement from the Heart—the establishment of a First Nations Voice enshrined in the Constitution—was voted against by a majority of Australians in a referendum. In an open letter responding to the referendum outcome, a group of First Nations leaders, community members and organisations who supported the Voice, re-iterated calls for truth-telling and the need for better education about Australian history in schools. In light of these calls, and in the context of a documented increase in racism against First Nations people in the lead up to the referendum, it is both timely and important to reflect on what is taught about First Nations histories in Australian schools. This article will explore what is at stake, in terms of Australia’s commitments under international law, if the status quo is preserved and Australia’s school history curriculum remains unchanged.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.058
GPT teacher head0.388
Teacher spread0.329 · 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.

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
Published2025
Admission routes1
Has abstractyes

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