The green protagonist of the contemporary city
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
After having “defuturized” the future, it is necessary that projects, programs and actions return to talk about the future starting from the reconstruction of an idea of “public city” based on a strong social protagonism (...). Capable of opposing that exclusive hegemony of the present that (...) is imposed as an accomplished fact, overwhelming. (Augé – 2010) The green spaces represent the contemporary society in its many nuances and take on new appearance not only with respect to the public park created with the industrial revolution, but also with respect to the most recent narrative parks of the late 1900s. The transformation of ex-infrastructure or ex-industrial areas has overturned the fate of entire neighborhoods, from Hafen City in Hamburg to the classic High Line, where the regeneration process has now reached excessive levels, transforming the identity of a cheap place into a chic one. In other cases it has changed the face of entire cities with the regeneration process initiated by the reconversion of the waterfront, which involved everything else, as for Toronto and Sydney. In other cases, however, the intent to solve social problems has been the engine of change, giving a new face to the public city and enhancing the theme of ethnic multiculturalism as a characteristic element of the contemporary world (Superkilen Park). The park can sometimes be not only a space for the city but also a sustainable tool to solve rainwater drainage problems, such as The Soul of Nørrebro in Denmark. In Italy, where historical cities are characterized by open, extraordinary and polymorphic public spaces, even if the contemporary design process is slow, excellent examples can be glimpsed (Milan, Turin and Bologna).
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it