2005. Review and update of findings from economics of simulation study groups. Paper presented at
Bibliographic record
Abstract
This paper reviews findings from previous studies on the Economics of Modelling and Simulation (M&S), updates those findings, discusses related studies being planned or conducted, and highlights challenges in establishing metrics to evaluate contributions of M&S to future programs. This paper includes discussion of an ongoing study initiated at the Swedish Materiel Administration (FMV) for The Swedish Armed Forces; the questions, justifications, and answers to date will help identify the evidence needed to assist future decision makers faced with difficult choices for spending on M&S. Efforts to evaluate the effectiveness of M&S and its usefulness in assisting acquisition programs in North Atlantic Treaty Organization (NATO) countries such as the United Kingdom and Canada will be mentioned also. Two international simulation organizations-- the Simulation Interoperability Standards Organization (SISO) and the Society for Computer Simulation (SCS)-- chartered groups in the late 1990’s to build a better understanding of the Economics of M&S.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 | 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) | 0.003 | 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 teacher head, 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".