Bibliographic record
Abstract
1. Conceptualizing Small Cities Part 1: The Political Economy of Small Cities 2. On the Dynamics of Ambivalent Urbanization and Urban Productivity in Port Louis, Mauritius 3. Temp Town: Temporality as a Place Promotion Niche in The World's Furniture Capital 4. Jumping Scale: From Small Town Politics to a 'Regional Presence'? Re-Doing Economic Governance in Canada's Technology Triangle 5. Tourism in a Reluctantly Small City-Island-Nation: Insights From Singapore Part 2: The Urban Hierarchy And Competitive Advantage 6. The Festival Phenomenon: Festivals, Events and the Promotion of Small Urban Areas 7. Gentrifying Down the Urban Hierarchy: 'The Cascade Effect' in Portland, Maine 8. The Re-Construction of a Small Scottish City: Re-Discovering Dundee 9. Urban Myth: The Symbolic Sizing of Weimar, Germany Part 3: The Cultural Economy of Small Cities 10. Garden Cities and City Gardens 11. Small Cities for a Small Country: Sustaining the Cultural Renaissance? 12. Creative Small Cities: Cityscapes, Power and the Arts 13. Rethinking Small Places - Urban and Cultural Creativity: Examples from Sweden, the USA and Bosnia-Herzegovina Part 4: Identity, Lifestyle and Forms of Sociability 14. Caudan: Domesticating the Global Waterfront 15. De-Centring Metropolitan Youth Identities: Boundaries, Difference and Sense of Place 16. Small City - Big Ideas: Culture-Led Regeneration and the Consumption of Place 17. Afterword - Sizing Up Small Cities
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".