Historical Dictionary of NATO and Other International Security Organizations
Bibliographic record
Abstract
The North Atlantic Treaty Organization (NATO) is a military alliance established by the signing of the North Atlantic Treaty on April 4, 1949. The treaty was signed by Belgium, the Netherlands, Luxemburg, France, United Kingdom, United States, Canada, Portugal, Italy, Norway, Denmark and Iceland. Today there are a total of 26 countries that belong to NATO. The Historical Dictionary of NATO and Other International Security Organizations covers the Atlantic Alliance's origins, structure and organization through a list of acronyms and abbreviations, a chronology, an introductory essay, a bibliography, and over 1,000 cross-referenced dictionary entries on its Secretaries-Generals, its Supreme Allied Commanders-Europe, plus all affiliated organizations created to enhance NATO's reach in a broader Euro-Atlantic security architecture (e.g. North Atlantic Consultative Council, Euro-Atlantic Partnership Council, NATO-Russia Charter; NATO-Ukraine Charter, and NATO-Mediterranean Dialogue Partners). This book also covers other related regional organizations with security responsibilities in Europe and worldwide where they interact with NATO, either currently (e.g. ANZUS, ASEAN, European Union, Organization of African Unity, Organization of American States, Organization on Security and Cooperation in Europe, and United Nations) or in the past (e.g. CENTO, European Defence Community, SEATO, Warsaw Pact, and Western European Union).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.011 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.046 | 0.029 |
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".