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Record W2332767141 · doi:10.2307/3557792

Maintaining the Strategic Edge: The Defence of Australia in 2015.

2001· article· en· W2332767141 on OpenAlexvenueno aff
Dora Alves

Bibliographic record

VenuePacific Affairs · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary and Defense Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEnhanced Data Rates for GSM EvolutionPolitical scienceComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

The recent and continuing changes in Southeast Asia - the economic calamity in 1997-98, the overthrow of President Soeharto's New Order and the tenuous establishment of democracy, and the horrific circumstances of East Timor's independence - have disturbed Australia's security situation more seriously than anything since the 1960s, when Australia was at war (albeit covertly) with Indonesia in Borneo and had a task force in Vietnam. The rate of technological change is also unprecedented, especially in the area of information technology (IT) and its manifold applications, promising a revolution in military affairs (RMA), some aspects of which are very attractive for Australian defence planning. At the same time, the Australian Defence Force (ADF) faces the imminent prospect of 'block obsolescence' - when major platforms such as the F/A-18 Hornet multi-role fighter aircraft, the F-111 strike fighters, the P-3C Orion long-range maritime patrol aircraft, and all of the navy's surface combatants, will need to be replaced (or their tasks foregone). Addressing these issues will require the development of a sound appreciation of Australia's security environment, and of clear and coherent strategic guidance for defence force planning. The purpose of this volume is to assist and inform these processes.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.876
Threshold uncertainty score0.402

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.063
GPT teacher head0.327
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2001
Admission routes1
Has abstractyes

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