Power, politics and confrontation in Eurasia foreign policy in a contested region
Bibliographic record
Abstract
The editors wish to thank the authors of the chapters that comprise this volume for their central role in the project, for the quality of their analyses, and their positive responses to suggestions for revision and updating to strengthen the quality of their contributions. The idea for this volume and a companion volume to be entitled Russia, Eurasia and the New Geopolitics of Energy: Confrontation and Consolidation, emerged along with preparations for an ISA- (International Studies Association) supported daylong workshop entitled ‘Actors, Processes and Architecture in the Contemporary Eurasian Order: Political, Economic and Security Challenges’, organized by Matthew Sussex and held immediately prior to the annual ISA meetings in Toronto, Ontario, Canada, on Tuesday, 25 March 2014. Most of the contributors to this and the companion volume were able to share their views and comment on one another’s papers at that workshop, thereby helping to sharpen the focus of the chapters and the collection. They wish to express their special appreciation to the International Studies Association for the funding that made this workshop a reality.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.003 |
| 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 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".