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
For millennia, urban centers were pivots of power and trade that ruled and linked rural majorities. After 1950, explosive urbanization led to unprecedented urban majorities around the world. That transformation—inextricably linked to rising globalization—changed almost everything for nearly everybody: production, politics, and daily lives. In this book, seven eminent scholars look at the similar but nevertheless divergent courses taken by Mexico City, Rio de Janeiro, Buenos Aires, Montreal, Los Angeles, and Houston in the twentieth century, attending to the challenges of rapid growth, the gains and limits of popular politics, and the profound local effects of a swiftly modernizing, globalizing economy. By exploring the rise of these six cities across five nations, <italic>New World Cities</italic> investigates the complexities of power and prosperity, difficulty and desperation, while reckoning with the social, cultural, and ethnic dynamics that mark all metropolitan areas.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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