Handbook on the Analysis of Smaller-Scale Contingency Operations in Long Term Defence Planning (Manuel de l'analyse des operations de circonstance de moindre echelle pour la planification de la defense a long terme) (CD-ROM)
Bibliographic record
Abstract
ELECTRONIC FILE CHARACTERISTICS: 94 files; Adobe Acrobat (.PDF), MS Access (.MDB), MS Excel (.XLS), MS PowerPoint (.PPS) and HTML (.HTML). PHYSICAL DESCRIPTION: 1 CD-ROM; 4 3/4 in.; 232 MB. SYSTEMS DETAIL NOTE: Adobe Acrobat Reader, Microsoft Excel and Microsoft PowerPoint are included on disc. ABSTRACT: The post Cold War era has witnessed a proliferation of peace support operations, humanitarian operations, and a variety of other smaller-scale contingency operations. These have challenged NATO and others with their frequency, complexity, intractability, and cost. Such operations are likely to remain a major task for the alliance and the international community for the next decade. The SAS-027 technical team was established by the NATO RTB under the SAS Panel in March 2000 to review current NATO an,,d national planning experiences to devise a comprehensive approach that integrates those experiences in face of new planning challenges. The SAS-027 technical team had an evolving membership with participation from Australia, Canada, France, Georgia, NC3A, the Netherlands, Norway, Sweden, Turkey, United Kingdom, and USA. This document provides an overview of the current state of the art in the analysis of smaller-scale contingencies. It is intended as a guide to operational analysts tasked with conducting such analysis in support of long term planning, whether force structure planning, analysis in support of equipment acquisition or other analysis of other issues such as the organisation of forces. The work has drawn heavily from the work done by the SAS-025 technical team on Analysis to Support Overall Long-Term Defence Planning.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.066 | 0.043 |
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".