Reimagining Black maternal health narratives: Embracing a Vitality Framework for joy, liberation, and healing
Bibliographic record
Abstract
Black maternal health narratives have long been dominated by crisis-focused frameworks that emphasize morbidity and mortality, often reinforcing narratives of vulnerability, pathology, and systemic failure. While these statistics are crucial in identifying disparities, they obscure the full spectrum of Black maternal experiences, erasing stories of joy, resilience, and thriving. This essay argues for a shift toward a vitality framework-one that reimagines Black maternal health beyond survival to center joy, liberation, and healing. Drawing from historical and contemporary contexts, we explore how systemic factors-including racism, sexism, and colonialism-have shaped dominant narratives, contributing to the weathering of Black bodies. We introduce ethering as a framework that transforms these harmful effects by reclaiming Black joy as an essential component of maternal health. Grounded in principles of reproductive justice, Black feminist thought, and Ubuntu, this approach moves beyond deficit-based models to highlight the collective power of Black communities in shaping new possibilities for maternal well-being. By integrating insights from public health, advocacy, and cultural expression, this essay proposes a reorientation of Black maternal health discourse toward holistic, affirming, and future-building strategies that recognize Black motherhood as a site of power, agency, and transformation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".