Women’s experiences of gender-based violence supports through an intersectional lens: a global scoping review
Bibliographic record
Abstract
Objective: To apply an intersectional lens to explore how the interconnected social identities of women across global settings impact access experiences for gender-based violence (GBV) supports. Design: A scoping review. Data sources: We systematically searched seven databases to identify studies published in English from the database inception to January 2023. Inclusion criteria: We included peer-reviewed studies with a primary objective of examining the access experiences of populations who self-identify as women (aged 15 years or older) who have experienced GBV, have intersecting identities (ie, racialisation, poverty, etc) that can further contribute to marginalisation and utilised or sought support services. Methods: Two reviewers independently completed title/abstract, full-text screening and data charting. Integrating intersectionality theory and the McIntyre access framework, we analysed support service access and utilisation across social identities, axes of marginalisation and geographic contexts. Results: 210 papers (195 distinct studies) met the inclusion criteria. Most studies (60%) were published since 2015 and used qualitative methods (63%). Findings reflected intersectional differences in women's experiences of accessing GBV services across contexts and lived experiences. Common findings indicate that seeking GBV support was motivated and enabled by informal supports and positive prior experiences in accessing services. However, findings highlight that structural and systemic constraints in existing support systems (in all study settings) impact access to necessary support services and their alignment with women's needs. Few studies examined health and non-health outcomes associated with unhindered access to care. Conclusions: Women's experiences with GBV support systems in different geopolitical contexts highlight barriers across axes of racialisation, poverty, multidimensional violence and other systemic factors, which are often eclipsed in generic one-size-fits-all models of support. This research can inform transformational policy development and tailored interventions to improve outcomes for all women who experience GBV and thus advance gender equality and equity goals.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".