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Record W3190866826 · doi:10.33270/04212101.81

Transformation of Approaches to Police Functioning in the Route of Implementation of the Theory of Broken Windows and the SARO Model

2021· article· sl· W3190866826 on OpenAlexaboutno aff
V. Holubosh

Bibliographic record

VenueÛridičnij časopis Nacìonalʹnoï akademìï vnutrìšnìh sprav · 2021
Typearticle
Languagesl
FieldSocial Sciences
TopicLegal Studies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)NoveltyGlobalizationUkrainianComputer scienceManagement sciencePolitical scienceLawPsychologyEngineeringSocial psychology

Abstract

fetched live from OpenAlex

The purpose of the article is to study the foreign experience of using in modern Ukrainian realities methods of effective crime prevention in the framework of the theory of broken windows and the SARO model (scanning, analysis, response and evaluation). Methodology. A set of general scientific and special-scientific methods of cognition is used, namely: terminological, system-structural, formal-logical, historical-legal, comparative-legal, social-legal, method of theoretical-legal analysis. The scientific novelty of the obtained results is that for the first time in domestic criminology an attempt to transform approaches to policing in line with the implementation of the theory of broken windows and the SARO model in the context of cross-border cooperation and globalization, as well as outlined the spiritually valuable aspects of the practical implementation of the studied concepts. The scientific article examines the current problems of modern Ukrainian society and proposes measures for crime prevention and reducing in line with the implementation of the theory of broken windows and the SARO model. A general digression into the history of these concepts has been made, spiritually valuable aspects of the theory of broken windows are revealed, foreign experience of SARO model implementation is studied, and also revealed the specifics of their functioning in the context of cross-border cooperation and globalization. The author substantiates the need for practical implementation of the studied theoretical developments in domestic realities. Numerous scientific works are devoted to the study of the theory of broken windows; however, the situation remains disappointing: it has not been properly popularized and put into practice. There is a need to unite the efforts of all public authorities, civil society institutions and the entire social community in order to consolidate cooperation for further promotion of this area of research. From the standpoint of the practical implementation of the theory of broken windows would be quite effective action "Put order near your home". You can announce a competition, annually encouraging concerned citizens, entrepreneurs to make our cities tidier, more attractive for visitors. No wonder they say: tidy is not where they clean, but where they do not litter, because everything starts with cleanliness. At the same time, the police and the public must take a principled stand in these processes. In the institutional hierarchy of all criminological theories and concepts, the SARO model is promising for implementation. Canadian experience in its practical application has shown the successful overcoming of poverty, unemployment, drug addiction, domestic violence, suicidal ideation, corruption, high crime rates, and public distrust. The implementation of the SARO model in Ukrainian realities is an important step in the reform of the Ministry of Internal Affairs in the direction of crime prevention. Conclusions. According to the theory of broken windows, the rate of deterioration of the criminogenic situation directly depends on the number of minor offenses. The theory clearly demonstrates how the smallest details affect great successes, achievements and victories. It is aimed at eradicating and fighting with evil. It turns out that littered streets, polluted environment, run-down houses, painted walls are the cause of many offenses and negative consequences in society. The theory of broken windows is not only external purity, but first of all – internal, which is the key to harmony, well-being, and usual moral and psychological climate in the team, the state. In addition, this theory is a promising factor in crime prevention. For example, when the investigator inspects the scene of a crime, he pays attention to the smallest details and subtleties. Therefore, the studied theory can be developed on a much broader scale, considering it in terms of spiritual and value component: purity of thoughts, the ability to respect human as the highest social value. Thus, the social aspects of the theory of broken windows and the model of SARO in relation to their implementation are boundless. In close cooperation between states, public authorities and the community, investment projects are of great importance on the way to cleanliness in cities, crime prevention, and optimizing the functioning of the police. As part of the practical implementation of the theory of broken windows and the SARO model, it is proposed to start writing joint research. We believe that these criminological developments need special popularization in order for further their practical implementation in each region of our state. This year MDNP in Ivano-Frankivsk region proposed to include in the Plan of research and development work of the National Academy of Internal Affairs for 2021 research: "Criminological theory of broken windows and the model of interaction between the police and the SARO community (scanning, analysis, response and evaluation) in crime prevention", which will enhance scientific work on writing theoretical and methodological works, as well as preparing conclusions and recommendations for practical implementation of experience in domestic realities.

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.001
Science and technology studies0.0040.033
Scholarly communication0.0080.007
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.064
GPT teacher head0.287
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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