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Record W3031171606 · doi:10.33270/01201141.79

Social and Legal-Psychological Aspects of Domestic Violence

2020· article· hr· W3031171606 on OpenAlexaboutno aff
O.I. Zinsu

Bibliographic record

VenueNaukovij vìsnik Nacìonalʹnoï akademìï vnutrìšnìh sprav · 2020
Typearticle
Languagehr
FieldSocial Sciences
TopicHomicide, Infanticide, and Child Abuse
Canadian institutionsnot available
Fundersnot available
KeywordsDomestic violenceDialecticNoveltyScientific literatureSociologyPsychologySocial psychologyPolitical sciencePoison controlHuman factors and ergonomicsEpistemologyMedicine

Abstract

fetched live from OpenAlex

The purpose of the scientific article is to identify the segmentation and multiple vectors of domestic violence in different social categories and to substantiate the need to eradicate discriminatory stereotypical perceptions of family and domestic behavior. Methodology. The methodological basis of the article is a comprehensive approach in the combination of system-structural, formal-logical, comparative-legal methods. The theoretical basis was the work of domestic and foreign scientists on different aspects of domestic violence. The process of research used a dialectical method of scientific knowledge of social and legal phenomena, which allows to objectively determine the patterns of manifestation of various aspects of domestic violence. The structural and functional method was used to investigate the links between the elements of domestic and domestic violence. The formal legal method made it possible to establish links between social roles and domestic violence. The methods of theoretical modeling were applied to form practical recommendations and outline prospects for further research. The scientific novelty of the article is to cover social segments of domestic violence that have not been previously represented in national scientific opinion, taking into account current processes of globalization, affirming the principles of gender equality, the need to eradicate discriminatory stereotyped views. The work is an attempt to distinguish between the segmentation of domestic violence in the world arena and in the domestic socio-legal, cultural space, emphasizing the complexity of the links in the structure of domestic violence. Conclusions. The structure of the scientific article is based on a modular system and covers various aspects of domestic violence. The chosen structure made it possible to consistently and systematically analyze domestic violence. Various social sections of domestic violence have been identified. It is noted that along with the ideas of feminism on domestic violence, there is also a “movement for the rights of men” in general and on domestic violence in particular. The features of domestic violence in the LGBT environment are outlined. It is emphasized that any violence against the child has a negative impact on the child’s body and personality development. Loyalty conflict, attachment theory, post-traumatic stress, and maternal stress were identified. Emphasis is placed on the status of the child abuser and the child victim of domestic violence. The views of national scientists and the views of scientists, researchers of the USA, Canada, Australia, the Republic of France, the Republic of Senegal, the Republic of Mauritius are stated. The importance of joint work of the scientific community, domestic and foreign scientists, international organizations, state structures to develop effective measures of prevention, combating domestic violence in order to eliminate discriminatory models of behavior in the family and everyday life, taking into account the type of legal system and the vector of defining state policy in sphere of family legal relations. Based on the results of the study, the conclusions and recommendations are formulated and recommendations outlined for the prospects for further research

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.343
Teacher spread0.303 · 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.

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

Citations5
Published2020
Admission routes1
Has abstractyes

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Same venueNaukovij vìsnik Nacìonalʹnoï akademìï vnutrìšnìh spravSame topicHomicide, Infanticide, and Child AbuseFrench-language works237,207