Bibliographic record
Abstract
Books reviewed: Bernard Jouve and Christian Lefèvre, (eds.) Villes, métropoles. Les nouveaux territoires du politique Sheridan Bartlett, Roger Hart, David Satterthwaite, Ximena de la Barra and Alfredo Missair, Cities for children: children's rights, poverty and urban management Daniel J. Monti Jr., The American city: a social & cultural history Andrew E.G. Jonas and David Wilson, (eds.) The urban growth machine: critical perspectives two decades later Dieter Dettke, (ed.) The challenges of globalization for Germany's social democracy: a political agenda for the 21st century Gösta Esping‐Andersen, Social foundations of postindustrial economies Michael Mortimore and William M. Adams Working the Sahel: environment and society in northern Nigeria> Stefan Hedlund, Russia's ‘market’ economy. A bad case of predatory capitalism Alexander Reichl, Reconstructing Times Square: politics and culture in urban development David Byrne, Social exclusion OECD, The response of higher education institutions to regional needs Felix Driver and David Gilbert, (eds.) Imperial cities: landscape, display and identity
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.502 | 0.505 |
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".