Bibliographic record
Abstract
Books reviewed: H. Barton, (ed.) Sustainable communities: the potential for eco‐neighbourhoods J.A. Elliot, An introduction to sustainable development M. Kenny, and J. Meadowcroft, Planning sustainability D. Satterthwaite, The Earthscan reader in sustainable cities Doreen Massey, John Allen and Steve Pile, (eds.) City worlds Steve Pile, Christopher Brook and Gerry Mooney (eds.) Unruly cities?: order/disorder John Allen, Doreen Massey and Michael Pryke (eds.) Unsettling cities: movement/settlement Klaus Ronneberger, Stephen Lanz and Walther Jahn Die Stadt als Beute Michael Edwards, Future positive: international co‐operation in the 21st century Nicole May, Pierre Veltz, José Landrieu and Thérèse Spector, (eds.) La ville éclatée Ivan Szelenyi, (ed.) Privatizing the land. Rural political economy in post‐communist societies Yue‐man Yeung, (ed.) Urban development in Asia: retrospect and prospect Andrew Herod, Gearoid O Tuathail and Susan Roberts, (eds.) An unruly world? Globalization, governance and geography Peter Ennals, and Deryck W. Holdsworth, Homeplace. The making of the Canadian dwelling over three centuries Anastasia Loukaitou‐Sideris, and Tridib Banerjee, Urban design downtown: poetics and politics of form Cecile Jackson, and Ruth Pearson, (eds.) Feminist visions of development: gender analysis and policy
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 | 0.003 |
| 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 | 0.008 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.524 | 0.530 |
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".