Bibliographic record
Abstract
Born in 1921, Manuel Llamojha Mitma became one of Peru's most creative and inspiring indigenous political activists. Now Peru Is Mine combines extensive oral history interviews with archival research to chronicle his struggles for indigenous land rights and political inclusion as well as his fight against anti-Indian racism. His compelling story—framed by Jaymie Patricia Heilman's historical contextualization—covers nearly eight decades, from the poverty of his youth and teaching himself to read, to becoming an internationally known activist. Llamojha also recounts his life's tragedies, such as being forced to flee his home and the disappearance of his son during the war between the Shining Path and the government. His life gives insight into many key developments in Peru's tumultuous twentieth-century history, among them urbanization, poverty, racism, agrarian reform, political organizing, the demise of the hacienda system, and the Shining Path. The centrality of his embrace of his campesino identity forces a rethinking of how indigenous identity works inside Peru, while the implications of his activism broaden our understanding of political mobilization in Cold War Latin America.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.090 | 0.027 |
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".