Bibliographic record
Abstract
This paper presents an overview of the dimensions of unsafe motherhood, contrasting data from economically developed countries with some from developing countries. It addresses many common factors that shape unsafe motherhood, identifying medical, health system and societal causes, including women's powerlessness over their reproductive lives in particular as a feature of their dependent status in general. Drawing on perceptions of Jonathan Mann, it focuses on public health dimensions of maternity risks, and equates the role of bioethics in conscientious medical care to that of human rights in public health care. The microethics of medical care translate into the macroethics of public health, but the transition compels some compromise of personal autonomy, a key feature of Western bioethics, in favour of societal analysis. Religiously-based morality is seen to have shaped laws that contribute to unsafe motherhood. Now reformed in former colonizing countries of Europe, many such laws remain in effect in countries that emerged from colonial domination. UN conferences have defined the concept of 'reproductive health' as one that supports women's reproductive self-determination, but restrictive abortion laws and practices epitomize the unjust constraints to which many women remain subject, resulting in their unsafe motherhood. Pregnant women can be legally compelled to give the resources of their bodies to the support of others, while fathers are not legally compellable to provide, for instance, bone-marrow or blood donations for their children's survival. Women's unjust legal, political, economic and social powerlessness explains much unsafe motherhood and maternal mortality and morbidity.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.015 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".