Bibliographic record
Abstract
This paper is to introduce the foreign civil military enterprise system and to suggest a plan to improve the employment rate of the discharged soldiers who served for a long term and the welfare of soldiers highly. At first, Military Professional Resources Inc., Dyncorp Inc. and Cubic Inc. of the United States, Sandline International Inc. of England and ATCO Frontec Inc. and Ednoonton Inc. of Canada are introduced in this paper. And also, this paper is to analyze employment conditions and difficulties of the discharged soldiers and suggest to establish a institute of tentatively named 'Korean Civil Military Enterprise' in terms of the Government and the Department of Defense. This civil military enterprise is to plan and manage military projects, to research and develop drill manuals and military doctrines and policies and to evaluate and manage the military training. As a pattern of civil military enterprises, three types of Military Support, Military Consulting and Military Provider are presented. Moreover, in order to advance the civil military enterprise, diverse training programs(for public civil investigators, guard advisors, special security guards and security staffs) to utilize all sorts of special military fields are developed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.009 |
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".