Central Asian security post-2014: Perspectives in Kazakhstan and Uzbekistan
Bibliographic record
Abstract
Roger N. McDermott is an Affiliated Senior Analyst, Danish Institute for International Studies, Copenhagen, Senior International Fellow, FMSO, Fort Leavenworth, Advisory Scholar, Military Affairs, Centre for Research on Canadian-Russian Relations (CRCR), Georgian College Ontario, Canada, and Senior Fellow in Eurasian Military Studies, Jamestown Foundation, Washington, DC; he has also served as a visiting Professor in the Department of International Relations, Kazakhstan National University, Almaty. McDermott has briefed Western planning staffs and lectured at the NATO School in Oberammergau, Germany. He specializes in Russian and Central Asian defence and security and is a member of the editorial board of Central Asia and the Caucasus and The Caucasus and Globalization, and a member of the scientific board, Journal of Power Institutions in Post-Soviet Societies. He has extensive experience of Kazakhstan's defence and security policy and published numerous articles on the reform of the country's armed forces and steps towards building peacekeeping forces.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".