Bibliographic record
Abstract
Braverman, Irus. 2023. Settling Nature: The Conservation Regime in Palestine-Israel . Minneapolis: University of Minnesota Press. 342 pp. ISBN: 978-1517912055. Curley, Andrew. 2023. Carbon Sovereignty: Coal, Development, and Energy Sovereignty in the Navajo Nation . Tucson: University of Arizona Press. 217 pp. ISBN 978-0816548675. Dewan, Camelia. 2022. Misreading the Bengal Delta: Climate Change, Development, and Livelihoods in Coastal Bangladesh . Seattle: University of Washington Press, 2021. 254 pp. ISBN (paperback) 9780295749617. Eddens, Aaron. 2024. Seeding Empire: American Philanthrocapital and the Roots of the Green Revolution in Africa . Oakland: University of California Press. 191 pp. ISBN 9780520395305. Kennedy, Emily Huddart. 2022. Eco-Types: Five Ways of Caring about the Environment . Princeton, NJ: Princeton University Press. 280 pp. ISBN: 9780691239569. Mitchell, Audra. 2024. Revenant Ecologies: Defying the Violence of Extinction and Conservation . Minneapolis: University of Minnesota Press. 390 pp. ISBN: 9781517906801. Neale, Timothy, Courtney Addison, and Thao Phan, eds. 2022. An Anthropogenic Table of Elements: Experiments in the Fundamental . Toronto: University of Toronto Press. 239 pp. ISBN 978487563578. Sánchez Voelkl, Pilar. 2022. Indigenous Settlers of the Galápagos: Conservation Law, Race, and Society . London: Lexington Books. 229 pp. ISBN: 9781666906592. Wrigley, Charlotte. 2023. Earth, Ice, Bone, Blood: Permafrost and Extinction in the Russian Arctic . Minneapolis, MN: University of Minnesota Press. 236 pp. ISBN: 9781517911812. Cruz-Torres, María L. 2023. Pink Gold: Women, Shrimp and Work in Mexico . Austin: University of Texas Press. 384 pp. ISBN: 9781477328019.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.509 | 0.469 |
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".