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Record W4402438107 · doi:10.69970/gjlhd.v12i1.1261

‘It Begins with Victoria’ — The Yoorrook Justice Commission & Innovating Transitional Justice for First Nations Australia

2024· article· en· W4402438107 on OpenAlexaboutno aff
Jeremie M Bracka

Bibliographic record

VenueGriffith journal of law and human dignity. · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsTransitional justiceCommissionEconomic JusticeColonialismPolitical scienceLawRoyal CommissionState (computer science)Government (linguistics)EmpowermentDemocracyPublic administrationSociologyPolitics

Abstract

fetched live from OpenAlex

Transitional justice is long overdue to address colonialism and ongoing harms to First Nations people in Australia. The full truth of Australian history is ripe for recognition; yet, until recently, national efforts to address the colonial past have been partial, disconnected and State-centric. Moreover, the Federal government has often used the term ‘reconciliation’ politically as a rhetorical device, rather than a term of transitional justice. Nevertheless, in 2021, the State of Victoria established Australia’s first ever comprehensive truth-telling process with the Yoorrook Justice Commission. Seeking to address the harms since colonisation, the state process is unprecedented, based on its scope, First Nations ownership, powers of a Royal Commission and ability to hold the state accountable. This article examines the Commission’s contribution to structural truth-telling, First Nations empowerment, and institutional reform. It also identifies the Victorian initiative as a ground-breaking transitional justice model for settler-colonialism. Despite the challenges, incorporating truth and reconciliation through a First Nations lens might allow actual healing and practical change to occur.

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)0.001
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: none
Teacher disagreement score0.957
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.074
GPT teacher head0.365
Teacher spread0.291 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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