The regeneration of a naval city: Portsmouth
Bibliographic record
Abstract
One of the key themes in contemporary urban design debates is the redevelopment of brownfield sites. It not only refers to the restructuring of specific sites and districts of post-industrial cities, but also to the redefinition of the urban form and its functions in naval urban contexts. Despite being different phenomena, these processes of spatial change fit within major global economic, financial and technological structural shifts. While specialised sites were necessary for the capitalist industrial model of development with regard to production, distribution and transportation; the development of the global economy and ways of communication, particularly since the last quarter of the twentieth century, led them to obsoleteness, frequent dissolution and abandonment mostly in the United States and western European countries. This has often been accompanied by a loss of population and other marks of decline. Not only former industrial plants and dockyards have been affected by these processes, but also significant historic sites associated with military use have been closed after having gone through periods of rationalization. In brief, the decay of these sites in many cities around the world coupled with the economic pressure for their redevelopment offered the opportunity for re-shaping extensive urban territories.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 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".