African Diasporic Women’s Narratives: Politics of Resistance, Survival, and Citizenship
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The medical-industrial complex can inflame racialized anxieties about disease control, border control, and access to health care. The Ebola outbreak in 2014 is just one example of how these anxieties intersect on a global scale. This book, which focuses on Saartije Baartman, Audre Lorde, Maryse Condé, Edwidge Danticat, and Grace Nichols, is a timely examination of the “embodied resistance to medical diagnosis” (5). Simone A. James Alexander reminds the reader of the centrality of health to a long history of black feminist intersectional analysis (see also White 1995; Smith 2002). She interrogates “medical profiling” (47) by hetero-patriarchal states and deconstructs the racist stereotypes of black women that undergird such domination. Further, her critique of reactionary U.S. immigration officials who mistreat Haitians entering the United States as potential HIV/AIDS carriers represents one of many occasions for an extended analysis of negotiations and resistances to medical regimes. Refusing to fixate on suffering, Alexander celebrates African Diasporic women’s transgressions of Western femininity, medicine, and citizenship.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it