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Record W4408089395 · doi:10.24144/2788-6018.2025.01.98

Foreign experience in applying a multidisciplinary approach to preventing and combating domestic violence

2025· article· en· W4408089395 on OpenAlex
V. I. Hryshko

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAnalytical and Comparative Jurisprudence · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsMultidisciplinary approachDomestic violencePolitical scienceEngineering ethicsMedicinePsychologyEngineeringMedical emergencyHuman factors and ergonomicsPoison controlLaw

Abstract

fetched live from OpenAlex

The article presents the results of scientific research on a comprehensive analysis of the problem of combating and preventing domestic violence in the family. Using the example of foreign experience, in particular, the experience of the USA and Canada, the author substantiates the expediency of using a multidisciplinary approach in the formation of state policy to reduce the number of cases of domestic violence. To confirm the importance of the chosen research topic, the authors of the article provide relevant statistical information provided by law enforcement agencies of Ukraine in 2024. Based on a detailed study of the available information sources, it has been established that the concept of a multidisciplinary approach should be understood as a modern methodology and a unique strategy for conducting scientific research, which, in order to achieve a common goal and solve specific tasks, necessarily involves the use of both theoretical and practical knowledge from various fields of domestic and foreign science. In other words, the approach we have mentioned is based on the integration of various author’s models aimed at effectively addressing a particular relevant and important issue. Authors emphasize that a multidisciplinary approach to the formation of the state policy on preventing and combating domestic violence will be based on the interaction of social, legal, medical, psychological and educational spheres of society. The authors of the article also trace the connection between the study of domestic violence and such sciences as sociology, criminology and pedagogy. Legal communication also plays an equally important role in the application of a multidisciplinary approach. It is also established that the common features of the organizational and legal mechanism of the United States and Canada in combating the increase in the number of cases of domestic violence are the use of regulations adopted within certain administrative-territorial units (states and provinces, respectively), consideration of cases within special courts, and the issuance of protection orders by state authorities. These states also have a wide system of shelters that specialize exclusively in providing the necessary assistance to victims of domestic violence.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.082
GPT teacher head0.401
Teacher spread0.319 · 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