Cities of North America : contemporary challenges in US and Canadian cities
Bibliographic record
Abstract
Chapter 1: An Introduction to Cities of North America Lisa Benton-Short Chapter 2: Changing Approaches to Urban Geography Katie Wells Chapter 3: An Urban History Robert Lewis Chapter 4: Border Cities Lindsey Sutton Part I: Urban Economies Chapter 5: Urban Economic Restructuring David Wilson and Matthew Anderson Chapter 6: Globalization and the City Yeong-Hyun Kim Part II: Urban Governance Chapter 7: Urban Governance Thomas J. Vicino Chapter 8: Planning and Politics Amanda Huron Part III: Urban Social/Cultural Challenges Chapter 9: Urban Inequities Deborah G. Martin Chapter 10: Urban Demographics and Identities Nathaniel M. Lewis Chapter 11: Suburban Challenges Bernadette Hanlon Part IV: The Urban Environment Chapter 12: Cities and Pollution Lisa Benton-Short and Christopher DeSousa Chapter 13: Cities and Hazards John P. Tiefenbacher Chapter 14: Urban Sustainability Geoff Buckley
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 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".