Book Reviews
Bibliographic record
Abstract
Stoekl, Allan. 2021. The Three Sustainabilities: Energy, Economy, Time. Minneapolis, MN: University of Minnesota Press. 307 pp. ISBN 978-1517908188. Carrasco, Anita. 2020. Embracing the Anaconda: A Chronicle of Atacameño Life and Mining in the Andes. Lanham, MD: Lexington Books. 182 pp. ISBN 978-1498575157. Sullivan, Kathleen M., and James H. McDonald, eds. 2020. Public Lands in the Western US: Place and Politics in the Clash between Public and Private. 226 pp. Lanham, MD: Lexington Books. ISBN 978-1793637062. Hirsch, Shana Lee. 2020. Anticipating Future Environments: Climate Change, Adaptive Restoration, and the Columbia River Basin. Seattle, WA: University of Washington Press. 232 pp. ISBN 978-0295747293. O’Gorman, Emily. 2021. Wetlands in a Dry Land: More-Than-Human-Histories of the Murray–Darling Basin. Seattle, WA: University of Washington Press. 288 pp. ISBN 978-0-295-74915-0. Styles, Megan. 2019. Roses from Kenya: Labor, Environment, and the Global Trade in Cut Flowers. Seattle, WA: University of Washington Press. 232 pp. ISBN 978-0-295-74650-0. Boyce, James K. 2019. The Case for Carbon Dividends. Medford, MA: Polity Press. 140 pp. ISBN 978-1-5095-2655-0. Rahder, Micha. 2020. An Ecology of Knowledges: Fear, Love, and Technoscience in Guatemalan Conservation. Durham, NC: Duke University Press. 316 pp. ISBN 978-1-4780-0691-6. Lewis, Simon L., and Mark A. Maslin. 2018. The Human Planet: How We Created the Anthropocene. New Haven, CT: Yale University Press. 496 pp. ISBN 978-0-241-28088-1. Braverman, Irus, and Elizabeth R. Johnson, eds. 2020. Blue Legalities: The Life & Laws of the Sea. Durham, NC: Duke University Press. 342 pp. ISBN 978-1-4780-0654-1. Chaney, Robert. 2020. The Grizzly in the Driveway: The Return of Bears to a Crowded American West. Seattle, WA: University of Washington Press. 288 pp. ISBN 978-0-295-74793-4.
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 | 0.007 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.502 | 0.459 |
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".