Making the Case for Genocide, the Forced Sterilization of Indigenous Peoples of Peru
Bibliographic record
Abstract
Peru’s national health program Programa de Salud Reproductiva y Planificación Familiar (PSRPF) aimed to uphold women’s reproductive rights and address the scarcity in maternity related services. Despite these objectives, during PSRPF’s implementation the respect for women’s rights were undermined with the forced sterilization of women predominantly of indigenous, poor, and rural backgrounds. This study considers the forced sterilization of indigenous women as a genocide. Making the case for genocide has not been done previously with this particular case. Using the normative markers of the Genocide Convention, this study categorically sets forced sterilization victims from the state-led-policy as victims of genocide, considering the effects the health malpractice had on victims’ reproductive rights and the prevention of births of future indigenous populations. In doing so, this study proves the genocidal intent from the state to destroy in whole or in part, an ethnic minority group.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".