Evidence map›Paper›PMID 38374665›Full record

ArticleViolence against women2025

The Role of Intersectionality and Context in Measuring Gender-Based Violence in Universities and Research-Performing Organizations in Europe for the Development of Inclusive Structural Interventions.

Anne Laure Humbert, Sofia Strid, Jagriti Tanwar, Anke Lipinsky, Claudia Schredl

Abstract read
In one paragraph

Article in Violence against women, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. The Master's Tools-Anti-Bullying and Harassment Policy in Higher Education Institutions.International journal of environmental research and public health · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Anne Laure HumbertCentre for Diversity Policy Research and Practice, Oxford Brookes University, Oxford, UK.ORCID 0000-0002-1544-5884
Sofia StridDepartment of Sociology and Work Science, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0001-7822-4563
Jagriti TanwarDepartment of OB&HRM, Nottingham University Business School, University of Nottingham, Nottingham, UK.ORCID 0000-0003-1002-5802
Anke LipinskyGESIS Leibniz Institute for the Social Sciences, Cologne, Germany.ORCID 0000-0002-2738-947X
Claudia SchredlGESIS Leibniz Institute for the Social Sciences, Cologne, Germany.ORCID 0009-0001-8532-4914

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the article is to discuss how thinking about gender-based violence intersectionally and in context can not only enrich our understanding but also lead to transformative change in organizations. The article argues that to better understand gender-based violence in universities and research institutions, analyses need to be intersectional and contextual. Such approaches go beyond binary understandings of gender and narrow legalistic definitions of gender-based violence. The article reflects on how to operationalize this to derive starting points for intersectional categories to consider and contextual factors to measure at micro-, meso-, and macro-levels. It concludes that a multilevel intersectional analysis leads to more nuanced knowledge on experiences of gender-based violence and is, therefore, better equipped to inform the development of measures to eradicate the problem in an inclusive way.

Indexed as

Gender-Based ViolenceEuropeFemaleHumansMaleOrganizationsUniversitiesgender-based violenceintersectionalityresearch-performing organizationssurveystheorizing quantitative measurement

Identifiers

PMID38374665
PMCPMC11969888

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.