A Study on the ISA Characteristics of Military Response to North Korea’s Nuclear Threat
Bibliographic record
Abstract
The study on the characteristics of ISA in military response to North Korea’s nuclear threat was conducted by drawing out detailed contents and writing questionnaires based on the derived contents, and conducting a survey on working experts related to North Korea’s nuclear threat response. Also, the importance and satisfaction of the questionnaire contents were surveyed at the same time and the analysis was conducted by ISA 4 Quarter. The results of the analysis showed that defense policy, military strategy and crisis management are highly related to the North Korean nuclear threat response. In particular, as a result of research analysis by ISA Quadrant, the maintenance concept field with high importance and satisfaction was shown as defense policy, military strategy, and crisis management. The importance was high, but the areas requiring intensive supplementation with low satisfaction, the areas with low importance and satisfaction, and the areas with low importance and satisfaction were analyzed. Through this study, we can summarize the importance, supplement and development of the countermeasures in terms of defense policy, military strategy, and crisis management related to the North Korean nuclear threat.
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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 | 0.006 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".