Expanded Urban Planning as a Vehicle for Understanding and Shaping Smart, Liveable Cities
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
Smart city is currently a trendy concept that has been promoted by many international companies, universities and cities, such as IBM, CISCO, MIT, Shanghai, as well as the European Union. This top down, technocratic approach has been severely criticized in many academic publications. Concurrently there is an increasing buzz emerging from citizens – women and men, who are involved in the application of community informatics for self-organization in urban settings. Consequently, the smart city as a contested concept and an initiative is under social and political construction. We argue that the smart city can be better understood and implemented, when framed from a holistic and integrative perspective as a multi-scalar and multi-dimensional endeavor that is approached through “expanded urban planning”. The aim of the article is to present and discuss the expanded urban planning approach as an alternative story to smart cities. The relevance of this approach is assessed in the light of a case study of Designing for the Smart City, a course for future architects and planners, at the Politecnico di Milano, Italy.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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