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Record W2796415348 · doi:10.1111/ajph.12426

The Genre of Prime Ministerial Anzac Day Addresses, 1973–2016

2018· article· en· W2796415348 on OpenAlexaboutno aff
Nicholas Bromfield

Bibliographic record

VenueAustralian Journal of Politics & History · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPrime (order theory)SketchPrime ministerOrder (exchange)HistoryQuarter (Canadian coin)Thematic analysisMedia studiesGenealogyPolitical scienceSociologyLawComputer scienceSocial sciencePoliticsArchaeologyQualitative researchMathematics

Abstract

fetched live from OpenAlex

The last quarter of a century has seen an explosion in prime ministerial engagement with Anzac, and in particular, the marking of Anzac Day with a national address. Correspondingly, there has also been enormous interest in Anzac from members of the academy, but there has been little systematic analysis of the breadth and depth of prime ministerial Anzac Day addresses. This paper seeks to correct this omission by conducting a critical discourse analysis of prime ministerial Anzac Day addresses from 1973 to 2016 in order to sketch their imprecise, but increasingly institutionalised and consistent, genre boundaries. The paper delineates the various thematic and characteristic features of these addresses, including where and when the addresses have been delivered; the fixity and hybridisation of the prime ministerial Anzac speech genre; the thematic and tonal representations of Anzac; the wars and battles prime ministers associate Anzac with; and who Anzac's agents are. As will be shown, whilst Australian prime ministers may closely adhere to the traditions of Anzac with their addresses, they also subtly renovate understandings of Anzac in alignment with their policy agendas.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.540
Threshold uncertainty score0.819

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.048
GPT teacher head0.318
Teacher spread0.270 · 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.

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

Citations4
Published2018
Admission routes1
Has abstractyes

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