Bibliographic record
Abstract
Contents: 1. Introduction Peter Karl Kresl 2. Global Competitiveness and the Role of Higher Education/Community Partnerships David J. Maurrasse 3. Montreal's Technological and Cultural Clusters Strategy: The Case of the Multimedia, and Film and Audiovisual Production Diane-Gabrielle Tremblay 4. The Knowledge Base, Research and Development and Regional Economic Policy-the US and UK Experience W.F. Lever 5. Government and Governance: How to Build and Sustain a Consistent Focus: The Case of Three Italian Cities Stefano Mollica, Marco Lucchini and Giovanna Hirsch 6. Economic Structure and Business Organization in the Central Region of Mexico Jaime Sobrino 7. Cooperation and Competition Between Cities: Urban Development Strategies in Hong Kong and Shenzhen Jianfa Shen 8. A City Loses its Major Industry - What Does it Do? The Case of Turin Daniele Ietri 9. Northeastern US Cities and Global Urban Competitiveness Ni Pengfei 10. Industrial Tourism: Opportunities for City and Enterprise Leo van den Berg, Alexander Otgaar, Christian Berger and Rachel Xiang Feng 11. An Aging Population and the Economic Vitality of Pennsylvania's Cities and Towns Peter Karl Kresl 12. The Repositioning of Cities and Urban Regions in a Global Economy Saskia Sassen Index
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 | 0.001 | 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 | 0.006 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| 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".