Foreign Experience of the System of Protection of Public Order and Prevention of Offenses in Localities
Bibliographic record
Abstract
Each state proceeding from the administrative territory (locality) strives to ensure peace and tranquility, the rights and interests of citizens, public order and the prevention of violations. For this purposes different units were established in which the activities of police officers closely interact with the public. The article examines the foreign experience of the system of protection of public order and the prevention of violations in localities, in particular, public security stations and commissioners of police of the Russian Federation, German security services, sheriff units and sheriffs of the United States, police stations and points of Japan, as well as legal, organizational and personnel bases of activity of these divisions and their officials. The role of public organizations, in particular, the people’s volunteers, Cossack societies of the Russian Federation, associations of “older brothers and sisters”, “parents and teachers”, self-government committees (quarter committees), “points of contact with the police” of Japan in the protection of public order and prevention of offenses in these states and their interaction with the police are revealed in the article. Based on the study of foreign experience of the system of protection of public order and prevention of offenses in localities relevant suggestions are formulated for further improvement of the activity of law enforcement bodies.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 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".