Envisioning an evolving environment - The encounters of Gordon Pask, Cedric Price and John Frazer
Bibliographic record
Abstract
This thesis provides a history of exchanges between architecture and the fields of cybernetics, systems research and computation, throughout the period of the last half century. In particular, it focuses on the encounters of the British professionals --Gordon Pask, Cedric Price and John Frazer---and provides a complete account of two outstanding architectural projects related to systems and computation---Generator and Japan Net. It also highlights the architectural relevance of these encounters and the importance of their contemporary legacy---the genesis of the systemic and computational paradigm in architectural design and the promotion of an evolving environment. The thesis is based mainly on research of Gordon Pask's personal archive (held by Ms. Amanda Heitler) and Cedric Price Archives (held at the Canadian Centre for Architecture). The thesis is divided into three parts. The first part relates to early developments involving cybernetics and architecture. It includes Pask's career and the rise of a second-order-cybernetics, as well as Price's breakthrough posture and tireless promotion of an impermanent architecture opened to user participation. The second part provides a complete account of Price's Generator. It focuses on the project's diverse phases and consultancies, and highlights John and Julia Frazer's contribution as systems consultants, which led this project to be acknowledged as the first intelligent building. The third part focuses on the rise of the information environment and the later reencounters between and achievements of Pask, Price and Frazer. It includes revisits to the Generator project, a complete account of the Japan Net competition entry, as well as pointing out outstanding ideas on evolving installations and essays of both Frazer and Frazer. It becomes clear that the current architectural agenda, focused on the new techno-cultural order of the information society and an aesthetics of emergence can benefit from these seminal exchanges, encounters and projects.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.019 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".