“Breaking through the Brokenness”: An Arts-Based Qualitative Exploration of Pregnant Women's Experience of Intimate Partner Violence while Receiving Trauma- and Violence-Informed Antenatal Care
Bibliographic record
Abstract
Intimate partner violence (IPV) is a pervasive, worldwide public health concern. Risk of IPV may elevate during the perinatal period, increasing maternal and fetal health risks. Trauma- and violence-informed care shows promise among interventions addressing associated mental health sequelae. As a secondary analysis, the purpose of this study was to employ a qualitative arts-based exploration to better understand pregnant women's experiences of trauma and violence-informed perinatal care in the context of IPV. Using an arts-based qualitative methodology, different art forms were used to analyze, interpret, and report data, resulting in a layered exploration to represent phenomena. From this, four themes were reflected in four poetic pieces: Black Deep Corners, Triggering my Thoughts, Breaking through the Brokenness, and Now Perfectly Imperfect. Nine pieces of visual art were created reflecting these themes, creating a layered, embodied, artistic way to empathically explore and translate phenomena.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.023 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".