The Black Summer Bushfires in the Eurobodalla Shire; the Role of the Local Newspaper in Framing the Event and Experience
Bibliographic record
Abstract
This thesis focuses on the Black Summer bushfires that occurred in the Eurobodalla Shire, which is located on the South Coast of New South Wales, Australia (NSW). The bushfires experienced in the Eurobodalla were a significant part of the devastating nation-wide bushfire season experienced across Australia, which has since become colloquially named as ‘Black Summer’. The Black Summer bushfires are the most recent of many other severe, ‘black’ bushfire events in Australia’s recorded history.1 Although Australia is familiar with severe bushfires due to its history, climate and ecology, the Black Summer bushfires have been labelled by mainstream media, politicians, and the Royal Commission into National Natural Disaster Arrangements (2021) as ‘unprecedented’, due to the extent and severity of these fires. The bushfires received not only national but international media attention, and countries such as America, New Zealand, Canada and Singapore came to aid Australia in their fight against the fires. The devastation caused by the Black Summer bushfires on communities like the Eurobodalla is immense, and at least momentarily, brought the topic of bushfire disasters in Australia to the forefront of public, media and political debate.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".