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Record W1917936039 · doi:10.1186/s12905-015-0247-5

The role of structural and interpersonal violence in the lives of women: a conceptual shift in prevention of gender-based violence

2015· editorial· en· W1917936039 on OpenAlexaffabout
Stephanie Montesanti

Bibliographic record

VenueBMC Women s Health · 2015
Typeeditorial
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsInterpersonal violenceInterpersonal communicationDomestic violencePsychologyConceptual frameworkSocial psychologyCriminologySociologyPoison controlSuicide preventionMedicineMedical emergencySocial science

Abstract

fetched live from OpenAlex

Explanations for violence against women (VAW) have developed in a wide variety of disciplines including, sociology, psychology, social work and public health. Theories of VAW range from individual and relationship level explanations to socio-cultural and political explanations for why violent acts towards women are committed. Feminist scholars, for instance, focus their attention to male-dominated social structures and socialization practices that teach men and women gender-specific roles that can influence violence and abuse against women [1]. One of the most common forms of violence against women is interpersonal violence (IPV). IPV refers to everyday violence such as sexual and physical assault that occurs between family members, intimates, or acquaintances. The UN Declaration was the first international statement that defined violence against women within a broader gender-based framework and identified the family, the community and the state as major sites of gender-based violence. The statement was rooted in feminist analysis of social inequality. According to the UN Declaration, violence against women involves: Any act of gender-based violence that results in, or is likely to result in physical, sexual or psychological harm or suffering to women, including threats of such acts, coercion or arbitrary deprivation of liberty, whether occurring in public or in private life. (p.1) Gender-based violence (GBV) can include domestic violence, sexual harassment, sexual violence and rape. GBV is a deliberately broad term in order to recognize the gendered elements in nearly all forms of violence against women and girls, whether it is perpetrated through sexual violence or through other means. The use of the term ‘gender-based violence’ provided a new context in which to examine and understand the phenomenon of violence against women. It shifted the focus from women as victims of violence to gender and the unequal power relationships between women and men that are created and maintained through gender stereotypes. A gender perspective on violence against women addresses the similarities and differences in the violence experienced by women and men in relation to vulnerabilities, violations and consequences. In response to this declaration, various efforts have been made to respond to reduce and eliminate this violence experienced by women. Significant attention has been paid in the Northern hemisphere and high income countries such as Canada and the U.S. to the provision of social services to victims of GBV, such as strengthening and maintaining women’s safety and their involvement in social, political and economic activities. Changes have also been made to justice sector responses, and to treatment for perpetrators of GBV. Interventions in low and middle-income countries have focused on primary prevention strategies to reduce the prevalence and incidence of violence against women and girls. These prevention programs use a wide range of approaches, including group training, social communication, community mobilization, and livelihood strategies.... Language: en

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)0.006
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.030
GPT teacher head0.351
Teacher spread0.321 · 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 designQualitative
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

Citations67
Published2015
Admission routes2
Has abstractyes

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