Bibliographic record
Abstract
Current military and political situation around Ukraine and immediately in it has considerably intensified the problem of providing its military security. Therefore, the decision of the national command authorities of our country to join the EU, to intensify cooperation with NATO and accession to it in the nearest future has become very significant. Much attention is given to reforming and adaptation of the special services and agencies to the NATO standards. However, the issue of intensifying control over their activity is missing. Considering experience of many countries, it poses a danger. Here, the experience of Canada as the country, which is one of the most successful and supportive to Ukraine, can be useful.Canada focuses much on providing and supporting national and regional security and interests in a current, very hard military and political situation. Trying to counter possible threats and challenges by preventive measures, this country has got a series of special services and agencies putting them together as the Intelligence Community. The Intelligence Community functions within the existing legal framework. First of all, it is based on the Laws on the Canadian National Defence, on the Information Security and an on Privacy and a number of others.At first, it became necessary to intensify control over the activity of national special services and agencies of Canada at the end of the 70s of the 20th century when they abused their power against Que- bec National Liberation Movement. Indignation and protests of the public considering their authorities excessive, led the parliament’s taking adequate measures: to adopt several special laws and decrees, to form a number of committees, commissions and special bodies designed to control the activity of special services and agencies, their observation of national laws and human rights.Besides national control, the Canadian special services and agencies have their own (departmen- tal) codes of honour authorizing their officers to be wotrthy a given right to serve to the nativeland in the respective special departments and observe current national laws. The bright example of such a code is the Canadian Communications Security Establishment Ethics Charter.Thus, the Canadian special services and agencies (Intelligence Community) function within the legal framework under the control of respective supervising and overseeing agencies, institutions and commissioners which can be a model for our state.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.050 | 0.020 |
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".