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Record W4309321316 · doi:10.1386/ajr_00103_1

Asian Australian media representation of First Nations sovereignty and constitutional change

2022· article· en· W4309321316 on OpenAlexaboutno aff
Huck Ying Ch’ng, Kashifa Aslam, Huong Thi Xuan Nguyen, Bradley A. Smith

Bibliographic record

VenueAustralian Journalism Review · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsReferendumFraming (construction)MainstreamPolitical sciencePublic sphereVietnameseSovereigntyPoliticsGender studiesMedia studiesNews mediaSociologyLawGeography

Abstract

fetched live from OpenAlex

This study explores levels of interest in and framing of Australian First Nations constitutional reform in minority ethnic media. A keyword search of mainstream English media in Australia and of media targeted at Chinese, Pakistani, Vietnamese and Indonesian Australian communities shows a relatively low level of interest in the publication of and government response to the Uluru Statement in the latter outlets compared to the English media. Framing analysis over an extended timeframe finds some interest in and broad support for Australian First Nations’ calls for constitutional reform in the Asian Australian media, as well as variation and suggestive correlations between framing and audience such as linking First Nations history to experiences of racism and exclusion of Chinese Australians. The study has implications both for any referendum for a First Nations Voice to Parliament and for scholarship on the role of minority ethnic media in the contemporary Australian public sphere.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0030.003
Scholarly communication0.0060.003
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.123
GPT teacher head0.363
Teacher spread0.240 · 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 designQualitative
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

Citations3
Published2022
Admission routes1
Has abstractyes

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