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INTERNATIONAL EXPERIENCE IN THE ORGANIZATION AND ACTIVITIES OF MILITARY FORMATIONS WITH LAW ENFORCEMENT FUNCTIONS

2025· article· en· W7080497388 on OpenAlexaboutno aff

Bibliographic record

VenueUkrainian polyceistics theory legislation practice · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsSubordination (linguistics)Guard (computer science)Law enforcementInternational lawLegislatureContext (archaeology)PeacekeepingEnforcement

Abstract

fetched live from OpenAlex

The article provides a comparative legal analysis of international experience in the organization and functioning of military formations with law enforcement functions in European countries and the United States. The study covers two main approaches: models where military formations have permanent law enforcement functions (the gendarmerie type, characteristic of France and Italy), and models where the functions of military formations are clearly separated from other security and defense structures and are allowed only in conditions of emergency or martial law (USA, Canada). Special attention is paid to the legal foundations and institutional mechanisms of democratic control over the armed forces, par- ticularly exemplified by the United States, as well as to the system of subordination of gendarmeries in European countries.It is shown that in most countries, reserve or guard formations with dual subordination operate actively, being involved in maintaining public order, crisis response, and participation in peacekeeping operations.The domestic experience is considered in the context of gradual adaptation to international standards. At the same time, it is emphasized that the lack of clear legal delimitation of powers between the National Guard of Ukraine, the Armed Forces, and the police complicates the implementation of effective cooperation. Based on the analyzed international experience, the author justifies the need for further legislative modernization of the legal status of the National Guard of Ukraine.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score0.264

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.255
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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