Jane Jacob and designing diversity: investigating gastronomic quarters and food courts of shopping malls and vitality of public spaces
Bibliographic record
Abstract
The production, sale and consumption of food have traditionally been central and integrated parts of the public realm. However, food spaces are generally designed as segregated domains and thus don’t connect with their urban context in an organic manner, or they are designed as privatised exclusive enclaves within shopping malls, thus having a detrimental impact on the vitality of surrounding public spaces. In recent years, a revival of food-centered spaces in cities around the world has tried to re-establish a sustainable connection between food and urban space. Jane Jacobs, in her famous book The Death and Life of Great American Cities, established the framework for analysis of dynamic diversity in cities. This paper investigates two models of food-centered space within the city—the gastronomic quarter of the city and the food court of the shopping mall—and establishes the differences and connections between the two environments. Using Jacobs’ theory of diversity, it analyses these spaces and evaluates their contribution to the vitality of the public realm. The intention is to highlight the need for further research into the field of food-centered urban space in order to create economically and socially sustainable architectural and urban design responses to the way in which food production and consumption integrates with the city.
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 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".