Book Reviews
Bibliographic record
Abstract
Poverty and the Quest for Life: Spiritual and Material Striving in Rural India By Bhrigupati Singh. Chicago: University of Chicago Press, 2015. xii + 335 pp. Paperback. ISBN 978-0-226-19454-7. Los Zetas Inc.: Criminal Corporations, Energy, and Civil War in Mexico. By Guadalupe Correa-Cabrera. Austin: University of Texas Press, 2017. 400 pp. Paperback. ISBN 978-1-4773-1275-9. Resilience and the Localisation of Trauma in Aceh, Indonesia By Catherine Smith. Singapore: NUS Press, 2017. 232 pp. Paperback. ISBN 978-9-8147-2260-5. After Rape: Violence, Justice, and Social Harmony in Uganda By Holly Porter. Cambridge: Cambridge University Press, 2016. 255 pp. Hardback. ISBN 978-1-3168-4129-7. The Spectral Wound: Sexual Violence, Public Memories, and the Bangladesh War of 1971 By Nayanika Mookherjee. Durham, NC: Duke University Press, 2015. 352 pp. Hardback. ISBN 978-0-8223-5949-4. The Revolution Has Come: Black Power, Gender, and the Black Panther Party in Oakland By Robyn C. Spencer. Durham, NC: Duke University Press, 2016. ix + 260 pp. Paperback. ISBN 978-0-8223-6286-9. Sovereignty in Exile: A Saharan Liberation Movement Governs By Alice Wilson. Philadelphia: University of Pennsylvania Press, 2016. 312 pp. Hardback. ISBN 978-0-8122-4849-4. Occupied Lives: Maintaining Integrity in a Palestinian Refugee Camp in the West Bank By Nina Gren. Cairo: American University in Cairo Press, 2015. 250 pp. Hardback. ISBN 978-9-7741-6695-2.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.590 | 0.509 |
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".