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Record W4411993577 · doi:10.15353/cjds.v14i1.1212

The Increased Risk of Intimate Partner Violence for Women with Disabilities: A Systematic Review of Barriers and Obstacles to Safety

2025· review· en· W4411993577 on OpenAlexvenueno aff
Malvika D’Costa

Bibliographic record

VenueCanadian Journal of Disability Studies · 2025
Typereview
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsnot available
Fundersnot available
KeywordsDomestic violencePsychologyMedicineHuman factors and ergonomicsEnvironmental healthPoison control

Abstract

fetched live from OpenAlex

The literature on intimate partner violence (IPV) identifies women with disabilities as being at a higher risk for experiencing abuse than non-disabled women. The current systematic review used both a critical disability lens and the social ecological model to classify the various barriers and obstacles that exist for disabled women attempting to navigate abusive relationships. Fourteen articles were selected for the analysis based on a set of criteria. The obstacles that are present for disabled victims on the individual, relationship, community, and societal levels are identified and discussed. The components that make up a woman’s abuse experience do not occur in a vacuum and are shown to interact both within and across levels of the model, making existing barriers more difficult to navigate. Identifying obstacles and barriers for disabled women will create more accessible violence prevention and intervention.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.026
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.038
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.005
Bibliometrics0.0110.012
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.032
GPT teacher head0.359
Teacher spread0.326 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Disability StudiesSame topicElder Abuse and NeglectFrench-language works237,207