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Record W4409000168 · doi:10.32920/ihtp.v5i1.2373

A way forward with intersectionality: An integrative review of women’s experiences with intimate partner violence

2025· article· en· W4409000168 on OpenAlexaffvenue
April Mackey, Pammla Petrucka, Jodie Bigalky

Bibliographic record

VenueInternational Health Trends and Perspectives · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsIntersectionalityDomestic violenceGender studiesPsychologySociologyPoison controlSuicide preventionMedicineMedical emergency

Abstract

fetched live from OpenAlex

Intimate partner violence is uniquely posited as both a public health challenge and an affront to human rights that spares no social group with women, as victims, constitute two thirds of all instances worldwide. Intimate partner violence is a ‘wicked’ problem that requires an upstream approach that demonstrates awareness of the multitude of intersections experienced by women. This study utilized an integrative review methodology to examine the application of intersectionality as a framework to women’s experiences of intimate partner violence. The search identified primary research papers from five databases during March 2022 and April 2024. A total of 3123 articles were distilled into a final five articles. The major themes included: (a) returning to the roots of intersectionality; (b) intersections of women’s lived experience; and (c) intersections with intimate partner violence. The need for an intersectional approach to IPV is agreed upon and, given the urgency of this issue, the findings establish a way forward for intersectional research and presents connections between intersectionality and IPV. This integrative review underscores the critical need for integrating intersectionality into both research and interventions to address intimate partner violence, ensuring that responses are inclusive, nuanced, and effectively tailored to the diverse realities of women’s lived experiences.

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)0.000
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 score0.432
Threshold uncertainty score0.491

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.024
GPT teacher head0.393
Teacher spread0.369 · 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

Citations3
Published2025
Admission routes2
Has abstractyes

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