Repercussions of overturning Roe v. Wade for women across systems and beyond borders
Bibliographic record
Abstract
June 24th, 2022, a day that will be etched in today and future generations' textbooks as a historic day, the United States of America revoked the constitutional right to seek safe abortion care. Overturning Roe v Wade allowed the divided individual states to independently decide the legal parameters regarding abortion care. A decision that disproportionately effects the reproductive lives of women residing on the land of America. Given the systemic impacts of racism, neoliberalism and white supremacy, it is the Black, racialized and poor women who suffer terrible repercussions. In this commentary the authors begin by discussing the historical biopolitical perspective, colonial systems and longstanding impacts on racialized women's bodies in America. The discussion transitions to the implications of geopolitics at play nationally and cascading impacts globally, focusing on humanitarian and emergency settings. Using a medical humanities perspective, authors highlight the collision between politics and reproductive health policy and its implications on social determinants of health, such as women's education, employment, housing, racial and gender equity and wellbeing. Long standing advocates, community leaders and healers, leading scientists, birth attendants, doctors, nurses, allied health professionals/providers and humanitarian workers - and many others - are reminded and live the weight of the continuous battle of population control, stemming from the oppressive history of control and exploitation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.016 | 0.016 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.018 | 0.014 |
| 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".