When Rape Was Legal—The Untold History of Sexual Violence During Slavery by Rachel A.Feinstein. 2018. Routledge, Taylor and Francis Group: New York, NY. 108 pp. $29.57 paper. ISBN: 9781138629684.
Bibliographic record
Abstract
Book Review of When Rape Was Legal—The Untold History of Sexual Violence During Slavery by Rachel A. Feinstein \n \nIn When Rape Was Legal—The Untold History of Sexual Violence During Slavery, Rachel A. Feinstein writes clearly and succinctly on the often ignored and dismissed history of sexual violence against black women during slavery in the American South. More than just a historical account of the systematic sexual exploitation of these women, this book builds on Collins’ (2005) matrix of domination by examining the larger consequences of this history in shaping the intersectional gendered racist system of oppression that persists today. Though reductive at times, this analysis provides a glimpse into the layered nature of intersectional oppression, forcing us to consider how modern-day white privilege and power are still in part shaped by the sexual violence and exploitation of black women during slavery. [...]
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".