Bibliographic record
Abstract
1. Introduction, Cultural Political Economy of Small Cities Anne Lorentzen and Bas van Heur Theory and Methods 2. Small Cities and the Sociospatial Specificity of Economic Development: A Heuristic Approach Bas van Heur 3. On a Road to Nowhere: A Comment on Amenities and Urban and Regional Development Hogni Kalso Hansen and Lars Winther 4. Finding Creativity in a Small City: How Qualitative Mapping Methods can Reveal New Geographies of Creativity Chris Brennan-Horley Culture as Economic Growth Strategy 5. Sustaining Small Cities through Leisure, Culture and Experience Economy Anne Lorentzen 6. Clarifying Creativity and Culture in a Small City on the Canadian Periphery: Challenges and Opportunities in Greater Sudbury Heather M. Hall and Betsy Donald 7. The Role of Arts and Culture in Economic Regeneration: Gaelic in Glasgow Douglas Chalmers and Mike Danson Actors, Networks, Creative Alliances 8. Making a Micropole: The Experiensation of Vejle Soren Smidt-Jensen 9. Eclectic Creativity: Interdisciplinary Creative Alliances as Informal Cultural Strategy Alison Bain and Dylann McLean 10. Europe's Internal Periphery: Small Towns in the Context of Reflexive Polycentricity Paul L. Knox and Heike Mayer Culture Governance, Social Equity 11. Shifting Strategies and Contexts for Culture in Small City Planning: Interlinking Quality of Life, Economic Development, Downtown Vitality, and Community Sustainability Nancy Duxbury 12. Conflicting Economic and Cultural Subjectivities: Governing the Future of a Small and Shrinking City Nina Gribat 13. Landscapes of Nostalgia: Place Marketing and Nostalgia in the American Small Town Jennifer Mapes
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".