Alternative Futures: Envisioning Bolzano, Italy
Bibliographic record
Abstract
When we talk about cities, the first thing that pops up in our minds is functional concrete blocks with vehicle-demarcating urban zoning. As humans yearn to be in nature, we could have other choices where citizens and trees demarcate city zoning instead of vehicles, a city that could be beautiful, natural, and sustainable, an alternative to the current polluted, noisy, exclusive, and alienating cities. Many urban dwellers have attempted to make a living in dominant global multicultural, fractured, cosmopolitan, and highly varied environments over the past century, where difference, not homogeneity, is the rule. Yet, mainstream urban planning problematizes the city's increasing heterogeneity and the tensions and conflicts that come with it in an effort to control the urban wilderness through policies and plans. According to this perspective, today's metropolis is "divided," "unsafe," and made up of "the underclass" and "the poor".1 However, many writers, urbanist, and philosophers, talked about the importance of changing the nature of how we approach cities by integrating nature into our urban fabric, and how this could be of a benefit to our ecology, biodiversity, and our personal well-being. Some theorists approached these ideas from a sociological perspective like Lefebvre and the notion of space production. Others approached the concept in a form of a science fiction, like the Canadian novelist Margret Atwood in her 2009 novel “The Year of the Flood”, where it is set in a post-apocalyptic world where most of humanity has been wiped out by a pandemic. The remaining survivors live in a self-sustaining, ecological community called God's Gardeners, who prioritize living in harmony with the natural world. The novel explores themes of environmentalism, genetic engineering, and the relationship between humans and other species.2 This paper looks into alternatives of how we could approach our cities from a speculative design perspective before hindering into policies. In specific, this paper looks at Bolzano-Bozen in Italy and what are the other alternatives that we could have in some specific neighbourhoods. Our research focuses on developing a visual narrative of city streets where citizens gain back their cities by endorsing healthy public spaces and by showing how streets could be safer for all. For this research, we used collages, AI aided technologies, and renderings to imagine a different outcome for our city streets. Moreover, we collect and highlight the main ideas into approach a sustainable eco social utopia collected form wide range of academics and writers.
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 | 0.007 | 0.010 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".