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Record W222315091

Thinking toward Architecture

2002· article· en· W222315091 on OpenAlexaboutno aff
Michael Benedikt

Bibliographic record

VenueMosaic (Winnipeg) · 2002
Typearticle
Languageen
FieldEngineering
TopicArchitecture, Modernity, and Design
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureSociologyEpistemologyEngineering ethicsEngineeringHistoryPhilosophyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The following is a condensed and abbreviated version of a lecture that Michael Benedikt delivered to the Faculty of Architecture at the University of Manitoba on 21 October 2001. How, at the beginning of a new century, might architecture progress from the fashion- and economics-driven art form that it is to something else, something better? What resources ought we to be using? Should architects learn from other disciplines--even join with other fields, such as psychology or geography? Or should architects remain within architecture, reaching out to other disciplines only now and again? What I've found over the years is that you cannot simply search out results from research in other disciplines and then apply them to the problems and aims of architectural design. Economists can't design, nor can sociologists, ecologists, or most engineers, since they do not have the same mindsets, skills, questions, or agendas that architects do. And the data they produce is not easily incorporated. If, on the other hand, you completely enter one of the other disciplines yourself--which takes a good few years--or if you come from one of the other disciplines to architecture, the very learning of the second discipline tends to eclipse the first. There's so much to know. In the late modern age it's rare to find the functional amalgamation of two or more distinct disciplines in a single person. The approach I think we should be using is this: an architect should start in architecture and end in architecture, and remain at heart an architect, but make one or more extended journeys into other disciplines, journeys that might last a period of years. These journeys into art, or ecology, or engineering, say, are less like tours from which one brings back interesting souvenirs, and more like living with the natives for a while, speaking their language, getting excited about what they get excited about, and coming home before it's too late. This modus operandi, it seems to me, is the best way of keeping our questioning distinctly architectural while at the same time learning other ways of seeing and acting in the world. Not everyone can or should embark on this course; it ought to be reserved for only those who think there could be more to architecture than what meets the eye (and more to it, too, than constructional ingenuity), only those who have the time and institutional support this course requires. L et me relay to you some of the enthusiasms I have picked up from just such extended intellectual visits. Each, I think, could contribute to the task of thinking about architecture in new ways and thus taking it forward. Only time will tell if I am right. I will touch on four topics. The man who inspired me on the first topic--complexity theory and evolution--is Louis Kahn. He loved science more than fairy tales; and, although he did beautiful buildings, he thought architecture's deepest impulses were ethical, not aesthetic. At the chalkboard, with both hands at the same time, he drew beautiful sequences, starting with something simple and filling it in with life, lapping the borders. When Louis Kahn drew that kind of pattern, he was expressing something very deep about how life evolves and elaborates itself, not only in nature but through man. Indeed, if you look at any of Kahn's many metaphysical diagrams, you see him trying to say where architecture comes from. It comes, he said, from turning silence into life, darkness into light, potential into joy. What a life-affirming way to think of architecture, and indeed about any creative endeavour involving conscious design! Life affirmation is an ethical principle, as is the idea that life is intrinsically complex and becoming more so as it fills itself in. This is an idea that I have tried to work out in my own way by voyaging into complexity theory. The claim this theory makes is that the right combination of higher complexity and a higher organization is what life wants, and that right combination is characterizable by a variable dependent on complexity and organization, called omega. …

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.026
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0060.017
Scholarly communication0.0110.009
Open science0.0010.004
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0260.010

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.

Opus teacher head0.023
GPT teacher head0.213
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

Quick stats

Citations2
Published2002
Admission routes1
Has abstractyes

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