Australian military force projection in the late 1980s and the 1990s: what happened and why
Bibliographic record
Abstract
The purpose of this thesis is to examine Australia's proficiency in military force projection in the late 1980s and the 1990s. It concentrates on the operational and tactical levels of command. It is a critique...Governments deemed all national, regional and international Australian force projections in the late 1980s and during the 1990s to have been successful. Several produced significant political and strategic dividends. However, there was room for improvement. Higher levels of command put the tactical level under unnecessary additional pressure that increased risk. These problems made the case for consolidating ADF command and control arrangements and matching the responsibilities of commanders with the authority and means to achieve their missions. These systemic problems also made the case for a permanent joint commander of ADF operations, supported by a joint operations headquarters. This officer would command a rapid response command comprised of high readiness ADF force elements, including the infrastructure and means for specific force preparation, deployment and force sustainment.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| 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".