Sharing Secrets: A Game Theoretic Analysis of International Intelligence Cooperation
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
Click to increase image sizeClick to decrease image size Additional informationNotes on contributorsDon Munton Dr. Don Munton does research and publishes in the areas of security and environmental policy, including recent studies on international intelligence cooperation. A former North Atlantic Treaty Organization (NATO) and Fulbright Fellow, he has taught at various universities in Canada, and been a visitor at universities in the United Kingdom and Japan. From 1995 to 2011 he was Professor of International Studies at the University of Northern British Columbia, serving founding chair of the department in 2008–2009. In 2011–2012, he was an Arthur M. Schlesinger, Jr. Fellow at the John F. Kennedy Presidential Library in Boston, Massachusetts. Dr. Munton earned his B.A. and M.A. degrees at the University of British Columbia, and his Ph.D. at the Ohio State University. He is co-author of The Cuban Missile Crisis: A Concise History (New York: Oxford University Press, 2011), among other books and articles. Karima Fredj Dr. Karima Fredj, an Assistant Professor in the Department of Economics at the University of Northern British Columbia at Prince George, specializes in optimal control theory, cooperative game theory, and differentiated games applied to environmental economics, resource managements, marketing and international intelligence. Her work has been published in leading journals, such as the European Journal of Operational Research, Automatica, The Manchester School, and the Journal of Environmental Modeling and Assessment. Dr. Fredj received her Bachelor's degree in Economics and Management Sciences from the Faculté de Tunis II in Tunisia; her Master's in Economics from the University of Montreal; and her Ph.D. in Administration from the HEC in Montreal (École des Hautes Études Commerciales de Montréal), a joint doctoral program of McGill, Concordia, the University of Quebec, and the HEC Business School.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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