NATO and European security : alliance politics from the end of the Cold War to the age of terrorism
Bibliographic record
Abstract
Preface Introduction: NATO in Transition by Alexander Moens, Lenard J. Cohen, and Allen G. Sens Community of Fate or Marriage of Convenience? ESDP and the Future of Transatlantic Identity by David G. Haglund The Widening Atlantic, Part II: Transatlanticism and the New NATO by Allen G. Sens Ideas and Discourse in the Construction of a European Security and Defense Policy for the 21st Century by Jolyon Howorth European Security and Transatlanticism at the Beginning of the 21st Century by Pascal Boniface Thinking Outside the Box: NATO-ESDP Cooperationat 23 by Alexander Moens European Security and Defense Policy: What is in It for Canada? by John Bryson Is Canada a European Country? by Julian Lindley-French Blue Helmets, Green Helmets, Red Tunics: Canada's Adaptation to the Security in Southeastern Europe by Lenard J. Cohen NATO's Nuclear Future: A Rationale for NATO's Deterrence Capabilities by Karl-Heinz Kamp Nuclear Weapons, Ballistic Missile Defense, and the Future of the Transatlantic Relationship by James Fergusson
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".