Bibliographic record
Abstract
Books reviewed in this article: Kurt E. Engelmann and Vjeran Pavlakovic (eds.), Rural Development in Eurasia and the Middle East: Land Reform, Demographic Change, and Environmental Constraints Gregory C. Randall, America's Original GI Town: Park Forest, Illinois John B. Rehder, Delta Sugar: Louisiana's Vanishing Plantation Landscape Cathy D. Knepper, Greenbelt, Maryland: A Living Legacy of the New Deal Char Miller (ed.), Fluid Arguments: Five Centuries of Western Water Conflict Edward F. Bergman, The Spiritual Traveler: New York City: The Guide to Sacred Spaces and Peaceful Places Rachel Pain, Michael Barke, Duncan Fuller, Jamie Gough, Robert MacFarlane, and Graham Mowl, Introducing Social Geographies Tor A. Benjaminsen, and Christian Lund, (eds.), Politics, Property, and Production in the West African Sahel: Understanding Natural Resources Management Al Gedicks, Resource Rebels: Native Challenges to Mining and Oil Corporations Maryann P. Feldman and Nadine Massard (eds.), Institutions and Systems in the Geography of Innovation Richard Foglesong, Married to the Mouse: Walt Disney World and Orlando Annick Germain, and Damaris Rose, Montréal: The Quest for a Metropolis George F. Rengert, Mark T. Mattson, and Kristin D. Henderson, Campus Security: Situational Crime Prevention in High–Density Environments Vaclav Smil, Feeding the World: A Challenge for the Twenty–First Century Pu Miao (ed.), Public Places in Asia Pacific Cities: Current Issues and Strategies Lisa M. Benton and John Rennie Short (eds.), Environmental Discourse and Practice: A Reader Philip Scranton (ed.), The Second Wave: Southern Industrialization from the 1940s to the 1970s Barry Dalal–Clayton and David Dent, Knowledge of the Land: Land Resources Information and Its Use in Rural Development
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.589 | 0.592 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".