Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Since its emergence in 1998, the concept of Network Centric Warfare (NCW) has become a central driver behind America's military transformation and seems to offer the possibility of true integration between multinational military formations. Even though NCW, or variations on its themes, has been adopted by many armed services, it is a concept in operational and doctrinal development. It is shaping not only how militaries operate, but, just as importantly, what they are operating with, and potentially altering the strategic landscape. This paper examines how the current military dominance of the US over every other state means that only it has the capacity to sustain military activity on a global scale and that other states participating in US-led coalitions must be prepared to work in an interoperable fashion. It explores the application of computer networks to military operations in conjunction with the need to secure a network's information and to assure that it accurately represents situational reality. Drawing on an examination of how networks affected naval operations in the Persian Gulf during 2002 and 2003 as conducted by America's Australian and Canadian coalition partners, the paper warns that in seeking allies with the requisite technological capabilities, but also those that it can trust with its information resources, the US may be heading into a very secure digital corner.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it