Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<JATS1:p>This book examines the rapid expansion of urban areas worldwide, especially within the previous 50 years, identifying the factors that have contributed to this phenomenon and exploring its many consequences.</JATS1:p> <JATS1:p>Global Urban Growth: A Reference Handbook examines urbanization and the challenges associated with rapid urban growth and urban sprawl from a truly global perspective, rather than presenting only a limited exploration of the subject by addressing a single city, country, or region.</JATS1:p> <JATS1:p>Investigating urbanization and related policy challenges as both a general phenomenon of all modern societies and one that varies greatly in different regions of the world, the book charts different growth trajectories in these societies and varying policy responses. Significant variations in culture, historical background, economic factors, and political and social development are considered. A chapter on the United States and Canada documents how urbanization trends have occurred in North America and presents our policy approaches in comparison and contrast with the rest of the world. The author offers a balanced overview by marshaling the facts and clearly presenting both the benefits and the drawbacks for readers.</JATS1:p>
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it