Bibliographic record
Abstract
Urban re-industrialisation could be seen as a method of increasing business effectiveness in the context of a politically stimulated ‘green economy’; it could also be seen as a nostalgic mutation of a creative-class concept, focused on 3D printing, ‘boutique manufacturing’ and crafts. These two notions place urban re-industrialisation within the context of the current neoliberal economic regime and urban development based on property and land speculation. Could urban re-industrialisation be a more radical idea? Could urban re-industrialization be imagined as a progressive socio-political and economic project, aimed at creating an inclusive and democratic society based on cooperation and a symbiosis that goes way beyond the current model of a neoliberal city? In January 2012, against the backdrop of the 2008 financial crisis, Krzysztof Nawratek published a text in opposition to the fantasy of a ‘cappuccino city,’ arguing that the post-industrial city is a fiction, and that it should be replaced by ‘Industrial City 2.0.’ Industrial City 2.0 is an attempt to see a post-socialist and post-industrial city from another perspective, a kind of negative of the modernist industrial city. If, for logistical reasons and because of a concern for the health of residents, modernism tried to separate different functions from each other (mainly industry from residential areas), Industrial City 2.0 is based on the ideas of coexistence, proximity, and synergy. The essays collected here envision the possibilities (as well as the possible perils) of such a scheme.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".