Ethicolegal considerations of screening for brain injury in women who have experienced intimate partner violence
Bibliographic record
Abstract
Abstract The vast majority of women who experience physical intimate partner violence (IPV) will likely suffer a brain injury (BI) as a result of the abuse. Accurate screening of IPV–BI can ensure survivors have access to appropriate health care and other supports, but screening results may also impact them receiving fair and equitable treatment in the legal system, and the justice they deserve. We used semi-structured interviews, combined with a contrastive vignette that described a realistic but hypothetical scenario involving IPV with or without BI, to explore the impact of BI on parenting disputes. Participants were lawyers (n = 12) whose focus is family law. Results highlight the potential adverse consequences of a positive BI screen that are influenced by the legal responsibility of counsel, the legal aid status of the woman, ongoing family dynamics, and the expectations of society while the focus on the best interests of the child is retained. Taken together, the findings reflect the legal vulnerability of women in decision-making about their capacity to parent after a BI. We conclude with recommendations for the future of IPV–BI screening aimed at mitigating risk and equipping women to navigate a legal system that has disadvantaged them, both historically and in the current context.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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".