The Inner City as Site of Cultural Production <i>sui generis</i> : A Review Essay
Bibliographic record
Abstract
Abstract The creative sector within the inner city constitutes a defining spatial imprint of the cultural economy of the metropolis, and a motive force in the reconstruction of the urban core. The centerpieces of the cultural economy include galleries, museums, theatres, markets, exhibition spaces, and schools of art and design. But amid these institutions thrives a specialized production economy, including computer graphics and imaging, Internet design, software, and video game development, as well as creative industries such as architecture, industrial design, and advertising, complemented by local amenities. The growth trajectory of the cultural economy, the insertion of creative industries within the contested spaces of the inner city, and the rise of a putative creative class concentrated within gentrifying neighbourhoods have stimulated new scholarly discourses and debates, as well as media attention and a prominent place for contemporary culture and its signifiers within the public imagination. This essay traces the origins of cultural production in the central city, and more recent growth processes; examines the mix of regeneration and dislocation effects; and offers a synthesis of recent research drawn from instructive cities and sites.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".