Studying the role of knowledge: How urban design knowledge has changed in the last quarter of a century
Bibliographic record
Abstract
n 1992 A.V. Moudon published an article titled: “A Catholic Approach to Organizing What Urban Designers Should Know” where she introduced a set of categorisations that helps urban designers to organise their knowledge. After almost quarter a century, we try to update her initial article in order to find out how urban design knowledge has changed in response to the dramatic changes happening in the world. This study reflects on a broader topic of how the built environment-related knowledge and the role of universities have changed recently. In doing so, the range of literature that is being taught in more than 30 universities for urban design courses has been studied to see what is being understood as an important text, or topic. Different traditions of urban design pedagogy in US, UK and Australia have been derived by analysing these lists. A briefer enquiry has also been done to find out how urban design course coordinators see the change in urban design literature in relation to the mentioned article.The result of this research shows that the shared body of knowledge is now relying far more on mixed method and interdisciplinary methodologies especially in more global universities. The current challenge for education system is to adapt with the rapid change in technology and enabling students to work in non-western context. The final stage of the research suggest replacing traditional urban design teaching with more critical thinking that enables student to develop their own “theory” - as it is illustrated in the post-human condition, theory should happen at the same time with practice. As a consequence, organizing the knowledge will be more like navigation through the literature that happens based on the problems in hand.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.010 | 0.025 |
| Scholarly communication | 0.016 | 0.018 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".