Australia plans to become leading defense-industry exporter
Bibliographic record
Abstract
Australia's government announced a strategy Monday to create high-tech jobs and become one of the top 10 defense-industry-exporting countries within a decade through arms sales to liked-minded nations while also keeping those weapons from rogue regimes. More high-tech jobs could be coming to Australia.The country's government has announced plans to create more tech jobs and become one of the top 10 defense-industry-exporting countries within a decade.Australia will create a 3.8 billion Australian dollar - $3.1 billion U.S. dollar - fund, which will lend to exporters that banks are reluctant to finance and a central defense export office.Prime Minister Malcom Turnbull said that with $200 billion budgeted to increase Australian defense capabilities in the next decade, Australia should rank higher than 20th among arms-exporting countries.He said the planned Australian military build-up was the largest in its peace-time history.Australia's Defense Industry Minister said the country would focus on growing sales to its biggest markets including the United States, Britain, Canada and New Zealand.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.080 | 0.074 |
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; both teacher heads agree on what is shown here.
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".