Preparing the Instantaneous Battlespace: A Cultural Examination of Network-Centric Warfare
Bibliographic record
Abstract
The aftermath of the Cold War signalled a revision in the global position of the United States and a new emphasis on the country’s status as a military superpower. Liberated from the stand-off between rivals that existed with the Soviet Union, the United States military has been able to greatly expand its scope of operational theories and aspire toward global dominance, using such programs as the Air Force’s Global Reach, Global Strike, The Navy’s Aegis Program and the Department of Defense, Joint Vision 20/20 Full Spectrum Dominance. Each of these examples suggests the expansion of the battlefield to well beyond what had been understood as the limits of military ambition. By exploiting the strategic capabilities of information based technologies, military thinking has been reoriented in a number of fundamental ways, all of which are associated with the doctrinal conceptualization of the Revolution in Military Affairs and the development of Network-Centric Warfare. Despite a change in presidential administrations, the tendency to globalize the battlespace prevails.
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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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.044 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".