Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".