Bibliographic record
Abstract
Shanghai&s;s urban development has come to represent China&s;s rapid economic growth and global integration following the country&s;s accelerated transition to a state-controlled market economy since the 1990s. In the centrally located historic neighbourhoods at the western end of the former French and International Concessions, socio-demographic, cultural, and economic changes are producing a new international trend quarter with a vibe and look echoing the likes of Berlin&s;s Prenzlauerberg or New York&s;s Williamsburg. What is the constellation of actors and agents who have activated the reuse of existing building typologies for the production and consumption of the new economy? And how do they relate a cosmopolitan history to the renaissance of Shanghai as a global city? And finally, what could be learned from these specific and localized transformation processes for future developments? This chapter will try to unpack how Shanghai&s;s transnational networks, cosmopolitan agents, and diasporic linkages helped expedite the reglobalization of the city after 1992, especially in the reconfiguration of the former concession areas, both physically and socio-economically. Transformations to Shanghai&s;s existing vibrant inner-city neighbourhoods is a specific example of how these hitherto little-studied and yet crucial &s;centralities&s; – one of many in the polycentric urban system serving whole regions – spatially manifest the recalibration of drivers, agents, networks, and urban forms responding to globalization&s;s effects on local frameworks.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.010 |
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".