Gender-Based Violence in the Context of Mothering: A Critical Canadian Health Perspective
Bibliographic record
Abstract
Violence against women is a predominant, human rights violation, globally. Understood as any act of gender-based violence resulting in physical, sexual, or psychological harm or suffering to women, approximately 35% of women experience violence across the lifespan. While violence can be experienced at any age, women of reproductive age suffer the greatest prevalence, underscoring that for many women, experiencing violence or the health and social sequelae, which may follow violence, co-occurs with mothering. Mothering in the context of gender-based violence in Canada is complex and multifaceted. In this article, the interplay among gender-based violence and the childbearing stages of pregnancy, birth, and postpartum are explored using an intersectional lens, including consideration of social disparities and equity-deserving groups. Approaches to address gender-based violence among childbearing women, such as an ecological approach and trauma- and violence-informed care, are discussed as implications for further research and practice.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.046 | 0.038 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 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".