Timeline History and the Anzac Myth: Settler Narratives of Local History in a North Australian Town
Bibliographic record
Abstract
ABSTRACT This paper explores rural Australian settler historical narratives through an examination of the landscape of public history in the northwestern Queensland city of Mount Isa. In various sites of public history, including the city's 75th anniversary festivities, tourism sites, and popular historical literature, certain narrative themes are predominant. Themes of ‘discoverers’, ‘firsts’, and ‘pioneers’ coalesce into a ‘timeline’ approach to history, in which the past is ordered sequentially in a linear pattern of development and progress. Aboriginal people are incorporated into linear histories in various ways, notably through the concept of ‘the last of the tribe’, which separates an aboriginal past from a European, colonial present and presumes colonial authority to be effectively established. Aboriginal people, particularly the Kalkadoon, are also incorporated within a second narrative tradition, the Anzac legend, for their heroic, desperate and failed battle in 1884 against European invaders. Aboriginal leaders in Mount Isa use these settler narrative traditions to advance native title claims and to create a respected public space for Aboriginal people in the city. In short, settler historical narratives, while being conservative in language, are continually being reshaped and metaphorically extended to new contexts, and are mobilized for both conservative and critical political agendas..
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.020 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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".