Bibliographic record
Abstract
Paul C. Cheshire and Edwin S. Mills (eds.), Handbook of Regional and Urban Economics, Vol. 3: Applied Urban Economics Donald G. Janelle and David C. Hodge (eds.), Information, Place, and Cyberspace: Issues in Accessibility Carey McWilliams, California: The Great Exception Office of the Philadelphia City Controller, Philadelphia: A New Urban Direction Jan van der Linden, Interdependence and Specialisation in the European Union: Intercountry Input‐Output Analysis and Economic Integration Wolfgang Weidlich and Günter Haag (eds.), An Integrated Model of Transport and Urban Evolution, With an Application to a Metropole of an Emerging Nation Rongxing Guo, How the Chinese Economy Works: A Multiregional Overview Han Meyer, City and Port: Transformation of Port Cities: London, Barcelona, New York, Rotterdam Frans Boekema, Kevin Morgan, Silvia Bakkers, and Roel Rutten (eds.), Knowledge, Innovation and Economic Growth: The Theory and Practice of Learning Regions David Keeble and Frank Wilkinson (eds.), High‐Technology Clusters, Networking, and Collective Learning in Europe Stephen Castles and Mark J. Miller, The Age of Migration, International Population Movements in the Modern World Kavita Pandit and Suzanne Davies Withers, (eds.), Migration and Restructuring in the United States: A Geographical Perspective Mark Casson and Andrew Godley (eds.), Cultural Factors in Economic Growth Jacob B. Polak and Arnold Heertje (eds.), Analytical Transport Economics: An International Perspective Robert Lewis, Manufacturing Montreal: The Making of an Industrial Landscape, 1850–1930 Edgar W. Butler, James B. Pick, and W. James Hettrick, Mexico and Mexico City in the World Economy David Meyer, Hong Kong as a Global Metropolis Edna Bonacich and Richard P. Applebaum, Behind the Label: Inequality in the Los Angeles Apparel Industry
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.465 | 0.456 |
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".