The Formation of a Safety Ecosystem in the Context of Ensuring the National Homeland Security
Bibliographic record
Abstract
Today, the issue of creating conditions for homeland security is relevant, under which any socio-economic system can be comfortable and is not threatened by the negative influence of any external and internal factors. The main purpose of the study is to form a methodological approach to the formation of an appropriate defense ecosystem in the context of ensuring homeland security. To achieve this goal, we applied analysis and synthesis methods to study the current state of the homeland security level and the methodology for the formation of the IDEF0 functional model to represent the proposed defense ecosystem. The methodological approach can have the practical importance for state structures dealing with the issue of ensuring homeland security. The result of the study was the formation of a decomposition of the first, second and third levels of the functional model of the defense ecosystem in the context of ensuring homeland security. The article has limitations which are associated with the choice of the security system of Ukraine, since in the context of a pandemic, it was difficult to gain access to information from other countries. In the future, the proposed methodological approach is planned to be applied to the homeland security systems of other countries.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".