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Record W4403799005 · doi:10.1002/ajs4.380

Beyond the First Nations Voice to Parliament: Who “owns” the state?

2024· article· en· W4403799005 on OpenAlexaboutno aff
Dominic O’Sullivan

Bibliographic record

VenueAustralian Journal of Social Issues · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsParliamentProject commissioningState (computer science)PublishingPolitical scienceMedia studiesTelecommunicationsLawSociologyComputer sciencePoliticsProgramming language

Abstract

fetched live from OpenAlex

Abstract In 2023, Australian voters defeated a constitutional amendment to establish a First Nations' Voice to Parliament. This representative body would have been empowered to make representations to parliament and executive government. It was proposed by First Nations people as the first stage in a Voice, Treaty, Truth process of political and constitutional reform. As the implications of this defeat are considered, it is instructive to examine what lessons New Zealand's politics and policies of Māori self‐determination may contribute to local deliberations, including on the principles that could inform treaties such as those under consideration in the state of Victoria. The ongoing point of contention in both countries has profound implications for how and why policy is made, for whom and by whom. The point of contest is over who, in practical political terms, “owns” the state and, therefore, its policymaking systems? Are First Nations people shareholders in state authority, or should they reside always on its periphery? If not, what are the terms of their inclusion?

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)0.006
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.199
Threshold uncertainty score0.396

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.023
Scholarly communication0.0120.007
Open science0.0010.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.022
GPT teacher head0.312
Teacher spread0.290 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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