Bibliographic record
Abstract
This essay reviews the following works: Revolutionaries for the Right: Anticommunist Internationalism and Paramilitary Warfare in the Cold War. By Kyle Burke. Chapel Hill: University of North Carolina Press, 2018. Pp. ix + 351. $35.95 paperback, $19.99 eBook. ISBN: 9781469666204. Moral Majorities across the Americas: Brazil, the United States, and the Creation of the Religious Right. By Benjamin A. Cowan. Chapel Hill: University of North Carolina Press, 2021. Pp. x + 294. $29.95 paperback, $95.00 hardcover, $24.99 eBook. ISBN: 9781469552077. Who Killed Berta Cáceres? Dams, Death Squads, and an Indigenous Defender’s Battle for the Planet. By Nina Lakhani. London: Verso, 2020. Pp. 328. $26.95 hardcover with free eBook. ISBN: 9781788733069. The Condor Trials: Transnational Repression and Human Rights in South America. By Francesca Lessa. New Haven, CT: Yale University Press, 2022. Pp. xvi + 375. $65.00 hardcover. ISBN: 9780300254099. La derecha mexicana en el siglo XX: Agonía, transformación y supervivencia. By Xóchitl Patricia Campos López and Diego Martín Velázquez Caballero. Puebla: Benemérita Universidad Autónoma de Puebla, Montiel y Soriano Editores, 2017. Pp. 254 paperback. ISBN: 9786077512776. How Political Parties Mobilize Religion: Lessons from Mexico and Turkey. By Luis Felipe Mantilla. Philadelphia: Temple University Press, 2021. Pp. viii + 265. $34.95 paperback, $110.50 hardcover, $34.95 e-book. ISBN: 9781439920169. There Are No Dead Here: A Story of Murder and Denial in Colombia. By Maria McFarland Sánchez-Moreno. New York: Hachette Book Group, 2018. Pp. 327. $28.00 hardcover. ISBN: 9781568585796. Organized Violence: Capitalist Warfare in Latin America. By Dawn Paley and Simon Granovsky-Larsen. Regina, Saskatchewan, Canada: University of Regina Press, 2019. Pp. x + 284. $34.95 paperback. ISBN: 9780889776104.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.039 | 0.005 |
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".