Bibliographic record
Abstract
The idea for this special issue, exploring the history of cities and urbanism within the emerging transnational paradigm, originated in a discussion among the members of the North American Editorial Board of Urban History about what it means for cities to be global. Veering in many directions, spanning multiple centuries and stretching into much of the world, the conversation touched on the movement of people and ideas, the relationship of urban areas with their hinterlands and with each other, the importance of given technologies and industries for particular forms of urban development, the critical role of politics – at all levels – in that development and the ongoing and evolving role of global capital on those cities. Using the global Internet, members of the North American Editorial Board located in Montreal (Michèle Dagenais), Rochester (Victoria Wolcott), Irvine (Jeffrey Wasserstrom), Philadelphia (Lynn Hollen Lees), Miami (Robin Bachin), Mexico City (Hira de Gortari Rabiela), Hamilton (Richard Harris), Los Angeles (Philip Ethington and Janice Reiff), Amherst (Max Page) and Ann Arbor (Matthew Lassiter) generated a plan to issue a global call for papers for the IXth International Conference of the European Association for Urban History in Lyon, France in August of 2008. Nine scholars from Canada, the United States, France and Mexico pre-circulated their papers for a special bilingual double-long session, co-chaired by Michèle Dagenais and Phil Ethington.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.413 | 0.260 |
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".