Direction to Advance Methodologies for Future Space Domain Defense Strategy Development: A Focus on Modeling and Simulation Applications
Bibliographic record
Abstract
The Schriever Wargame (SW) is the United States Space Force's (USSF) Title-10 operational Wargame series.SW23 focused on critical aspects of the space and cyber domain across the spectrum of conflict while engaging our partners at the operational and strategic levels, leading to key outcomes focused on strengthening national and multinational priorities.The wargame challenged participants from eight nations to coordinate space systems, cyber capabilities, and doctrinal concepts to achieve objectives and maintain a peaceful space domain.Concurrently, the USSF Chief of Space Operations (CSO) led a Coalition Council of senior multinational civil and military leaders to discuss space-related policy and operational topics in a riskfree, non-attributional environment.Approximately 350 military, civilian, and commercial experts from more than 25 commands and agencies throughout the U.S. Government, as well as international partners from Australia, Canada, France,
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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 | 0.024 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.005 |
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".