Systems Thinking as a Methodological Approach to Study Infrastructure Space in Architectural Design Education
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
In architectural education, urban-scale studies provide an opportunity for architectural students to study the challenges that cities confront and their physical and conceptual frameworks with a multidisciplinary approach. The design process necessitates the critical evaluation of the inputs that define, structure, and govern the cities and the acknowledgement of social, economic, ecological, geographical, and experiential conditions. The critical reading of the city also demands an understanding of its prevailing, speculative, and emergent conditions, which can be apprised through a cohesive structure of relations shaped by directives from various agents. Advocating for a novel methodological practice in architectural education, this approach fosters the engagement of architecture students with the networks, constellations, and associations of contemporary urban conditions. With this conceptual framework, the paper speculates on the potential of introducing systems thinking as a methodology for architectural education, which encourages the study of interrelations between different parties, in diverse scales, to design contemporary urban conditions. It subjects students’ works in the fourth-year architectural design studio, where systems thinking is acknowledged as a methodology to study the notion of infrastructure space. In these studies, infrastructure space is considered as the site of multiplicities, coexistences, and overlaps beyond its typical association with “physical networks for transportation, communication or utilities” (Easterling, 2014). Studying the infrastructure space through a systems thinking approach is believed to enable the integration of inchoate states and territories of local, trans-local, and global occurrences. To sum up, the paper will discuss the outputs of integrating systems thinking in architectural education, and the reconceptualization of ‘infrastructure space’ as an instrumental approach in dealing with the complex structure of cities.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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