Body (Im)Potent: Culture, Capitalism, and the Afrodescendant's Fight for her Body
Bibliographic record
Abstract
In 2000, the United Nations emphasized a number of Millennium Development Goals, to include, `Promot[ing] gender equality and empower[ing] women.' For women of African heritage residing in the region of Latin America and the Caribbean the promise of equity is belied by socio-political realities which propagate the marginalizing of Black women. `Body (Im)potent: Culture, Capitalism, and the Afrodescendant's Fight for Her Body,' considers the extent to which the trans-Atlantic slave trade located the Black woman's body as a unit of work. Further, this thesis explores the ongoing disparities between the Black woman's view of her own body, and pervading discourses which define that body according to the needs of a dominant class--a Marxist perspective which posits that the potential of human self-actualization is often sacrificed on the altar of capital. `Body (Im)potent' highlights that the promise of empowerment and equality must also be considered from the perspective of those unique West African-inspired cultural movements which informed Black resistance, and which continue to influence the self-image of the region's Afrodescendants. Moreover, `Body (Im)potent' considers the extent to which the milieux created by globalization contribute to the evolution of the Afrodescendant's concept of her body, and perceptions of that body by the world at large.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.017 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".