Obstetric violence: a new framework for identifying challenges to maternal healthcare in Argentina
Bibliographic record
Abstract
Argentina has recognized women's right to not be subjected to obstetric violence, the violence exercised by health personnel on the body and reproductive processes of pregnant women, as expressed through dehumanizing treatment, medicalization abuse, and the conversion of natural processes of reproduction into pathological ones. Argentina's legislative decision to frame this abuse and mistreatment of women under the rubric of gender-based violence permits the identification of failures in both the healthcare system and women's participation in society. This article examines how applying the Violence Against Women framework to address issues of abuse and mistreatment of women during maternal health care provides a beneficial approach for analyzing such embedded structural problems from public health, human rights, and ethics perspectives. The framework of Violence Against Women seeks to transform existing harmful cultural practices, not only through the protection of women's reproductive autonomy, but also through the empowerment of women's participation in society.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".