Resisting invisibility in healthcare responses to gender-based violence: a content analysis
Bibliographic record
Abstract
Women and girls with disabilities are located at the intersections of patriarchal, ableist, and other structures of oppression that produce specific and heightened vulnerabilities to gender-based violence (GBV). Public health practitioners widely recognise the role of the healthcare sector in addressing GBV, however the role of the healthcare sector in addressing GBV must be questioned given ongoing barriers to healthcare access for people with disabilities. Grounded in an intersectional framework, I conducted a summative content analysis of GBV healthcare interventions to examine whether and how disability and intersectionality are mobilised in public health understanding of, and strategies to, address GBV. By bringing visibility to the ways in which silences construct and sustain the invisibility of women with disabilities and other social structures, I argue that GBV healthcare responses not only fail to provide care for women with disabilities across social locations, but they also risk reproducing understandings that devalue their lives.
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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 | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".